BloomReach Acquires Hippo to Build First Open and Intelligent Digital Experience Platform

Acquisition Brings Leadership in Algorithmically Driven Commerce to Digital Content

MOUNTAIN VIEW, Calif. and AMSTERDAM — October 26, 2016 BloomReach, Inc., the leading commerce personalization platform, today announced a strategic acquisition of leading web content management company Hippo, B.V.. The Hippo digital experience and performance platform is a content management system that helps businesses understand all visitors – anonymous or known – and deliver the right content at the right time on any channel or touch point.

With the integration of Hippo’s open and agile experience technology into BloomReach’s machine-learning engine, BloomReach will have the only digital experience platform that natively leverages data and algorithmic intelligence to create, build, personalize, market and measure every digital experience – across verticals and geographies.

“Hippo has engineered the world’s most sophisticated digital experience platform with a keen understanding and vision for the future of web content management. By joining its core content expertise and architectural flexibility with BloomReach’s algorithmic superiority in commerce, we can build a single experience layer that powers any brand’s digital experiences,” said Raj De Datta, CEO and cofounder of BloomReach. “Why should providing a truly personalized experience today require an enterprise to spend months or years in CMS implementation and millions of dollars integrating analytics, personalization, testing, targeting and data management solutions on top of that CMS? That’s an antiquated model.”

BloomReach envisions all businesses – both commerce and content – having three core cloud platforms powering their digital presence: a back-end or commerce platform, an experience platform powering personalization and a marketing platform handling campaign execution. The Hippo acquisition allows BloomReach to provide businesses with the experience platform layer – where data and algorithms determine each visitor’s intent and return the most relevant experience. It also will have an open architecture that easily plugs into the other platforms, including both current BloomReach and Hippo partners.

“Merging with BloomReach adds the most sophisticated intelligence available to Hippo’s content performance and delivery platform. Its engine has an unrivaled ability to analyze data both from inside and outside an enterprise,” said Jeroen Verberg, cofounder and CEO of Hippo. “Whether it’s more product purchases, deeper content engagement or finding solutions to visitors’ problems, together our platform will produce results for any business by acting autonomously, getting smarter every day, and giving users actionable insights to refine the experience.”

BloomReach has experienced significant revenue and market growth in commerce since launching in 2009, working with more than 150 of the top U.S. and U.K. commerce companies, including Neiman Marcus, Staples, Nordstrom and Homebase.

Likewise, Hippo also has experienced significant growth in recent years, currently working with more than 170 customers in 13 countries. At a time when enterprises are searching for innovative, java-based options, Hippo was recently named a Visionary in Gartner’s Web Content Management Magic Quadrant. Hippo is a proven enterprise-class CMS, working with large organizations like U.K.’s National Health Service and REI, Inc. Hippo’s strong presence in Europe and BloomReach’s strong presence in the U.S. provide complementary geographic footprints for mutual global expansion.

“The world of marketing and customer acquisition is quickly moving to machine-learning and data-driven personalized experiences. The combination of BloomReach’s world-class search and personalization technology with Hippo’s content management solution will allow companies across industries to create the most modern digital customer experiences,” said Ajay Agarwal, managing director of Bain Capital Ventures, a BloomReach investor. “We couldn’t be more excited about the acquisition and the opportunity it brings to the marketing-technology landscape.”

BloomReach and Hippo together will use data science and web-wide data to power personalization that understands content, language, context and behavior throughout the customer lifecycle, replacing strategies that market to customer segments using manually written rules.

Recent studies demonstrate that customer analytics and web content management are the top two investment priorities for digital experience technology leaders. Managing and optimizing digital experiences to date have largely required an array of software from a fragmented landscape. However, the commerce industry has been on the leading edge of adopting personalization and optimization technology, with BloomReach recognized as an award-winning leader.

Hippo will continue to operate out of Amsterdam as an independent business unit of BloomReach, supporting all customer, marketing and sales activities. The combined company will continue to support its current applications and will invest significantly in commerce and content capabilities – across all of its R&D centers in Mountain View, Dallas, Bangalore, Amsterdam and Boston.

Hippo CEO Jeroen Verberg will join the BloomReach Board of Directors and serve as general manager of the Hippo business unit. All other founders and members of the Hippo management team will remain with the company. Other terms of the acquisition were not disclosed.

 

Additional Resources:

 

About BloomReach

BloomReach is a machine-learning, big-data technology company that delivers a more relevant digital experience using data from more than 75 million monthly unique consumers and the applications built on its Personalization Platform. BloomReach’s core technology – the Web Relevance Engine (WRE) – algorithmically understands content and users, matching this understanding with demand and intent data from across the Web. BloomReach’s Commerce products adapt your content to make it personal and relevant for individual users. BloomReach Compass surfaces actionable product performance and recommendations that maximize revenue.

BloomReach’s portfolio of customers include: Neiman Marcus, Sears Outlet, Staples and Williams-Sonoma. Created in 2009, BloomReach is headquartered in Mountain View, Calif., with offices in New York City, London and Bangalore. BloomReach is backed by investment firms Bain Capital Ventures, Battery Ventures, NEA, Salesforce Ventures and Lightspeed Ventures. Visit BloomReach.com for more information.

 

About Hippo

Hippo is on a mission to make the digital experience more personal for every visitor. We’re redefining the CMS space by engineering the world’s most advanced content performance platform, designed to help businesses understand their visitors – whether they are known or anonymous – and deliver the content they value in any context and on any device. Together with its global network of Certified Partners, Hippo serves a rapidly growing number of enterprise clients around the world including REI, Inc., FC Bayern München, Bell Aliant, Couchbase, the Dutch Foreign Office, Randstad, Veikkaus, the University of Maryland, Edeka, 1&1 Internet, Bugaboo and Weleda.

BloomReach Raises $56 Million To Personalize The Web

Company Expanding to All Digital Businesses; Adds Guidewire CEO and Co-Founder To Board

Mountain View, Calif. – January 29, 2016 BloomReach, one of the leading cloud personalization platform companies, today announced $56 million in Series D funding from top investors in marketing technology, including Bain Capital Ventures, Battery Ventures, Lightspeed Ventures, New Enterprise Associates and Salesforce Ventures. Also demonstrating BloomReach’s growing presence, joining its Board of Directors is the CEO and co-founder of Guidewire Software, Inc., Marcus Ryu.

“I’m honored to join the board of BloomReach, a company with the strategic clarity and technology lead to be a major player in the domain of digital commerce,” said Ryu.  “Equally important for me is confidence in the customer-focused culture and long-term orientation of the company. I see many of the same values in Raj and his leadership team that were important to my own entrepreneurial journey.”

BloomReach now captures data from approximately 20.5 percent of all U.S. e-commerce and currently has more than 175 customers, including 57 from the Internet Retailer Top 500. BloomReach also is experiencing 70 percent in new average contract value (ACV) growth.

With Amazon capturing nearly half of consumers’ first product search, other digital businesses are required to invest heavily in marketing technology. However, the marketing technology landscape – with close to 2,000 companies and more than 2,500 products – has become extremely fragmented causing significant confusion for marketers and few breakout companies. As a result, marketers are looking for platforms that provide omnichannel intelligence and reduce redundant technologies.

BloomReach provides a single Personalization Platform that includes BloomReach’s proven applications for organic search, personalized site-search and navigation in addition to marketing and merchandising analytics. The products now are broken into two families, including:

  • BloomReach Commerce, encompassing BloomReach’s Organic Search and SNAP applications, that drives 10-40 percent lift by algorithmically optimizing site experience.
  • BloomReach Compass, role-specific analytics providing machine-intelligence insights, KPI management and action-tracking for marketers and merchandisers, that leads to an average $8,000 in monthly revenue for each action taken. With customers like SendGrid, development of BloomReach Compass also has paved the way for BloomReach’s further expansion outside of e-commerce.

“At PacSun, we understand that our customers are not only diverse in their affinities for different styles, brands and preferences, but also vary significantly in the ways they connect with our digital channels. We have thousands of products and 2 million pages on the PacSun website, and it can be a challenge for shoppers to find exactly what they want,” said Nathan Liu, PacSun vice president for e-commerce. “With all of the technology options available, it makes better business sense to take a platform approach that works across data silos. We turned to BloomReach’s Personalization Platform to help connect each and every shopper with the perfect products.”

Search engines like Google have redefined consumer expectations for personalized search and experiences; and with its proven success in e-commerce, BloomReach will use the funding to target all digital businesses. According to Gartner[i], “By 2020, smart personalization engines used to recognize customer intent will enable digital businesses to increase their profits by up to 15 percent.”

“E-commerce is a $3.5 trillion market, and marketing technology is a big force diving that—with personalization at the core,” said Neeraj Agrawal, general partner at Battery Ventures and a longtime investor in marketing tech. “And we are just in the fourth inning of the marketing-tech revolution. I am impressed with BloomReach’s growth and am excited to partner with its management team as the company continues to innovate. In addition, after working for several years with Marcus Ryu at Guidewire, I am thrilled to see him join the board of BloomReach and believe his impact will be significant.”

While other personalization methods rely mostly on demographic or geographic data, BloomReach sees future opportunities beyond workflow- and transactional-oriented technologies to address one-to-one personalization challenges at scale.

According to Forrester[ii], “Personalization and contextual relevancy are must-have focuses for optimizing site search … But in order to win, serve, and retain customers, firms today must have search that is more Google-like and does more than just basic list retrieval: It requires new tools with more experience-focused capabilities and a deeper strategic focus on governance, information architecture, and user experience.”

“There’s a $10-billion opportunity in marketing tech, and BloomReach has the core data-expertise to understand, learn and apply big data to make every experience personal for all digital businesses,” said BloomReach co-founder and CEO Raj De Datta. “When the leading investors in our space show their confidence with this level of investment, it tells the entire landscape that BloomReach has the staying power to take the market. And, our growing, unmatched portfolio of customers proves it.”

BloomReach plans to use the investment to further strengthen its big-data technology and scale its business globally for all digital businesses. The company currently has more than 250 employees and plans to grow personnel worldwide.

 

About BloomReach

The BloomReach Personalization Platform understands, matches and personalizes content and products based on what and how people are searching.

With applications for commerce, including organic and site search and category pages, and role-based analytics, the BloomReach Personalization Platform makes content and products more discoverable and relevant, everywhere. BloomReach’s core technology – the Web Relevance Engine (WRE) – algorithmically understands content and users, matching this with demand and intent data from across the Web. BloomReach’s Commerce Suite has solutions that adapt your content to make it personal and relevant for individual users. The BloomReach Compass suite surfaces actionable product performance and recommendations that maximize revenue.

BloomReach’s portfolio of customers include: Neiman Marcus, Sears Outlet, Staples, Drugstore.com, and Williams-Sonoma. Created in 2009, BloomReach is headquartered in Mountain View, Calif., with offices in New York City, London and Bangalore. BloomReach is backed by investment firms Bain Capital Ventures, Battery Ventures, NEA, Salesforce Ventures and Lightspeed Ventures. Learn more: www.bloomreach.com.

 

About Salesforce Ventures

Salesforce Ventures—Salesforce’s corporate investment group—invests in the next generation of enterprise technology to help companies connect with their customers in entirely new ways. Portfolio companies receive funding as well as access to the world’s largest cloud ecosystem and the guidance of Salesforce’s innovators and executives. With Salesforce Ventures, portfolio companies can also leverage the expertise of the Salesforce Foundation to incorporate its 1-1-1 model of integrated philanthropy to make giving back part of their business model. Salesforce has invested in more than 150 enterprise cloud startups since 2009. For more information, please visit www.salesforce.com/ventures.

 

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[i][i] Gartner Predicts 2016:Predictive Technologies and New Sales Channels Will Escalate Growth; Jason Daiglar, Yanna Dharmasthria, Sandy Shen, Chris Fletcher, Penny Gillespie, Timothy Baynes, Steve Blood, Frank Buytendijk; December 2, 2015

[ii] Forrester Research, Inc., Google-ize Your Site-Search Experience; Anjali Yakkundi, Dominique Whittaker; October 19, 2015

 

87% of U.S. Holiday Shoppers Consult Amazon For Gifts, But Price Not #1 Reason to Buy

BloomReach Survey Shows New Retailer, Search Engine Struggles; Demonstrates Dying “Door busters”

Mountain View, Calif. – December  17, 2015 – Following the Thanksgiving Holiday period’s record-setting online shopping season, a new consumer study from BloomReach fielded through the Thanksgiving shopping period – the heart of the holiday shopping season – found that retailers and search engines are facing new and expanding threats this holiday season from online superpower Amazon. However, the BloomReach survey of 3,000 U.S. consumers on holiday shopping behavior uncovered some advantages and opportunities for retailers and search engines to regain market share in product search and purchases. BloomReach also separately surveyed 1,000 U.K. consumers on the same questions revealing eerily similar results, but the U.K. was a bit more likely to involve Amazon in their shopping.

Amazon continues to flex its muscles in almost every e-commerce category, with the BloomReach survey – conducted by Survata – indicating that consumers are expanding Amazon’s use cases – treating it more like a search engine.

  • 87% of consumers will comparison-shop on Amazon for their gift purchases.
  • 47% will comparison-shop on Amazon for approximately 50+% of their holiday purchases.
  • 73% will buy from Amazon.
  • 71% will spend more than a quarter of their budgets on Amazon; more than 31% will spend more than half.
  • Even if consumers find exactly what they want with acceptable prices and shipping, 28% would still compare the product on Amazon, with only 29% stating they’d buy it right then.

Many U.S. consumers appear to view Amazon’s product-searching capabilities better than search engines – specifically Google.

  • 39% said Amazon has better product-searching capabilities; 8% said Google; 53% said it was equivalent.
  • 46% of consumers won’t use Google Shopping to look for gifts, and 29% don’t know what it is.
  • 68% of Google Shopping users said they found the gifts they wanted half the time or less, with 24% reporting they “never” found what they wanted.

“Probably the top advantage that Amazon has is its resources. Amazon has massive amounts of proprietary search and consumer-purchase data to apply its significant algorithmic intelligence for personalized search,” said BloomReach Head of Marketing and Partnerships Joelle Kaufman. “If I’m a retailer, I have a mandate to look outside of my own data silo to better present exactly what my customers want very quickly. When consumers are used to typing in two letters in their own way and seeing exactly what they want, retailers can’t rely on simply knowing who bought what.”

Amazon also appears to be expanding its use cases to be more of its own retail search engine, as it was the place – online or offline – to get holiday gift ideas. About 40% named Amazon as the starting point when they knew what they wanted to get a particular person. However, when they did not know what to get someone:

  • 35% named Amazon as the starting point.
  • 23% said search engines.
  • 20% reported a preferred retailer’s physical store.
  • 14% named a preferred retailer’s website.
  • 6% said deal marketplaces like Groupon.

BloomReach asked Amazon shoppers exactly why they continually choose the company over other retailers. Surprisingly, prices were not the top reason. Approximately 43% of U.S. shoppers said the main reason was Amazon’s ability to intuitively find or predict exactly what they want more quickly. Only 33% said that better prices were the main reason.

In addition, retailers’ attempts to woo consumers with discounts and “door busters” are falling on more deaf ears, as both the U.S. survey and BloomReach internal data indicated that traditional shopping periods are changing, with the power of deals eroding.

  • 50% of consumers planned to shop for gifts after Christmas; 37% planned to purchase more than a quarter of their gifts after Christmas.
  • Most consumers (32%) don’t believe retailers are offering the best deals until after Christmas.
  • Most consumers (31%) planned to start holiday shopping before Black Friday. BloomReach internal data demonstrated that Veteran’s Day rivals Thanksgiving Day in both traffic and conversions.
  • 41% of U.S. consumers reported shopping on Black Friday, but 57% reported shopping on Cyber Monday. BloomReach internal data confirmed Cyber Monday’s better performance.

“Retailers have been bleeding themselves dry with deals and discounts to get consumers back, but this study and many sales reports indicate that this tactic isn’t often working. The price for consumers these days is time, the one thing we cannot make more of. There also is some consumer fatigue and mistrust that retailers aren’t offering their best prices anyway,” said Kaufman. “Make no mistake; price will still be central consumer sensitivity. However, a retail marketer might interpret these survey results as a dagger to the heart; but the good news is that consumers have provided some guidance. Consumers will buy more if you focus on omnichannel strategies, and save them time.”

The survey results also uncovered insights for both search engines and retailers on how to influence consumer shopping and where to regain market share – specifically relating to search budgets and frustration factors. Consumers repeatedly said that quickly delivering exactly what they want was the prescription for success.

  • After a search on a search engine, more than 40% of holiday shoppers identified product listing ads as the most influential element to get their first click. However, a preferred retailer brand name was considered most influential by 35% of consumers.
  • When asked what their main frustration is with Amazon, most (23%) listed none, while only 8% thought search and navigation was a problem. However, 19% listed product uncertainty as the top frustration; 19% said price uncertainty; and another 19% said shipping.
  • Most consumers preferred to shop online this holiday season. The top two reasons provided were convenience (faster) at 38% and finding exactly what they want (relevance) at 23%.

As consumers value Amazon’s predictive experience as the top differentiator, U.S. consumers see other retailers’ digital experience as frustrating and have considerably low tolerance for irrelevance.

  • #1 consumer frustration about digital retailing: Irrelevant search results on a retailer’s site-search, followed closely by poor product descriptions.
  • 61% will only try twice to search for a product on a retailer’s site before giving up.
  • 56% expect a retailer site to have relevant auto-complete search functionality.
  • 51% will leave a site if they see three (3) irrelevant search results after searching on a retailer site.

BloomReach also surveyed 1,000 U.K. holiday shoppers with the same questions and found that the two countries are shockingly similar; however, the U.K. seemed even more likely to shop on Amazon. Approximately 90% will consult Amazon for their holiday purchases, with 80% buying from the company.

About BloomReach

The BloomReach Personalized Discovery Platform makes your content and products more discoverable with applications for organic search, personalized site-search and digital marketing and merchandising. BloomReach’s core technology – the Web Relevance Engine – uses natural-language processing and machine-learning to algorithmically understand content and visitors, matching it with demand and intent data from across the Web.

Created in 2009, BloomReach is headquartered in Mountain View, Calif., with offices worldwide and is backed by investment firms Bain Capital Ventures, NEA and Lightspeed Ventures. BloomReach’s portfolio of customers includes Neiman Marcus, Sears Outlet, Kohl’s, Staples, Drugstore.com and Williams-Sonoma. Learn more: www.bloomreach.com.

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87% of U.S. Holiday Shoppers Consult Amazon For Gifts, But Price Not #1 Reason to Buy

BloomReach Survey Shows New Retailer, Search Engine Struggles; Demonstrates Dying “Door busters”

Mountain View, Calif. – December  17, 2015 – Following the Thanksgiving Holiday period’s record-setting online shopping season, a new consumer study from BloomReach fielded through the Thanksgiving shopping period – the heart of the holiday shopping season – found that retailers and search engines are facing new and expanding threats this holiday season from online superpower Amazon. However, the BloomReach survey of 3,000 U.S. consumers on holiday shopping behavior uncovered some advantages and opportunities for retailers and search engines to regain market share in product search and purchases. BloomReach also separately surveyed 1,000 U.K. consumers on the same questions revealing eerily similar results, but the U.K. was a bit more likely to involve Amazon in their shopping.

Amazon continues to flex its muscles in almost every e-commerce category, with the BloomReach survey – conducted by Survata – indicating that consumers are expanding Amazon’s use cases – treating it more like a search engine.

  • 87% of consumers will comparison-shop on Amazon for their gift purchases.
  • 47% will comparison-shop on Amazon for approximately 50+% of their holiday purchases.
  • 73% will buy from Amazon.
  • 71% will spend more than a quarter of their budgets on Amazon; more than 31% will spend more than half.
  • Even if consumers find exactly what they want with acceptable prices and shipping, 28% would still compare the product on Amazon, with only 29% stating they’d buy it right then.

Many U.S. consumers appear to view Amazon’s product-searching capabilities better than search engines – specifically Google.

  • 39% said Amazon has better product-searching capabilities; 8% said Google; 53% said it was equivalent.
  • 46% of consumers won’t use Google Shopping to look for gifts, and 29% don’t know what it is.
  • 68% of Google Shopping users said they found the gifts they wanted half the time or less, with 24% reporting they “never” found what they wanted.

“Probably the top advantage that Amazon has is its resources. Amazon has massive amounts of proprietary search and consumer-purchase data to apply its significant algorithmic intelligence for personalized search,” said BloomReach Head of Marketing and Partnerships Joelle Kaufman. “If I’m a retailer, I have a mandate to look outside of my own data silo to better present exactly what my customers want very quickly. When consumers are used to typing in two letters in their own way and seeing exactly what they want, retailers can’t rely on simply knowing who bought what.”

Amazon also appears to be expanding its use cases to be more of its own retail search engine, as it was the place – online or offline – to get holiday gift ideas. About 40% named Amazon as the starting point when they knew what they wanted to get a particular person. However, when they did not know what to get someone:

  • 35% named Amazon as the starting point.
  • 23% said search engines.
  • 20% reported a preferred retailer’s physical store.
  • 14% named a preferred retailer’s website.
  • 6% said deal marketplaces like Groupon.

BloomReach asked Amazon shoppers exactly why they continually choose the company over other retailers. Surprisingly, prices were not the top reason. Approximately 43% of U.S. shoppers said the main reason was Amazon’s ability to intuitively find or predict exactly what they want more quickly. Only 33% said that better prices were the main reason.

In addition, retailers’ attempts to woo consumers with discounts and “door busters” are falling on more deaf ears, as both the U.S. survey and BloomReach internal data indicated that traditional shopping periods are changing, with the power of deals eroding.

  • 50% of consumers planned to shop for gifts after Christmas; 37% planned to purchase more than a quarter of their gifts after Christmas.
  • Most consumers (32%) don’t believe retailers are offering the best deals until after Christmas.
  • Most consumers (31%) planned to start holiday shopping before Black Friday. BloomReach internal data demonstrated that Veteran’s Day rivals Thanksgiving Day in both traffic and conversions.
  • 41% of U.S. consumers reported shopping on Black Friday, but 57% reported shopping on Cyber Monday. BloomReach internal data confirmed Cyber Monday’s better performance.

“Retailers have been bleeding themselves dry with deals and discounts to get consumers back, but this study and many sales reports indicate that this tactic isn’t often working. The price for consumers these days is time, the one thing we cannot make more of. There also is some consumer fatigue and mistrust that retailers aren’t offering their best prices anyway,” said Kaufman. “Make no mistake; price will still be central consumer sensitivity. However, a retail marketer might interpret these survey results as a dagger to the heart; but the good news is that consumers have provided some guidance. Consumers will buy more if you focus on omnichannel strategies, and save them time.”

The survey results also uncovered insights for both search engines and retailers on how to influence consumer shopping and where to regain market share – specifically relating to search budgets and frustration factors. Consumers repeatedly said that quickly delivering exactly what they want was the prescription for success.

  • After a search on a search engine, more than 40% of holiday shoppers identified product listing ads as the most influential element to get their first click. However, a preferred retailer brand name was considered most influential by 35% of consumers.
  • When asked what their main frustration is with Amazon, most (23%) listed none, while only 8% thought search and navigation was a problem. However, 19% listed product uncertainty as the top frustration; 19% said price uncertainty; and another 19% said shipping.
  • Most consumers preferred to shop online this holiday season. The top two reasons provided were convenience (faster) at 38% and finding exactly what they want (relevance) at 23%.

As consumers value Amazon’s predictive experience as the top differentiator, U.S. consumers see other retailers’ digital experience as frustrating and have considerably low tolerance for irrelevance.

  • #1 consumer frustration about digital retailing: Irrelevant search results on a retailer’s site-search, followed closely by poor product descriptions.
  • 61% will only try twice to search for a product on a retailer’s site before giving up.
  • 56% expect a retailer site to have relevant auto-complete search functionality.
  • 51% will leave a site if they see three (3) irrelevant search results after searching on a retailer site.

BloomReach also surveyed 1,000 U.K. holiday shoppers with the same questions and found that the two countries are shockingly similar; however, the U.K. seemed even more likely to shop on Amazon. Approximately 90% will consult Amazon for their holiday purchases, with 80% buying from the company.

About BloomReach

The BloomReach Personalized Discovery Platform makes your content and products more discoverable with applications for organic search, personalized site-search and digital marketing and merchandising. BloomReach’s core technology – the Web Relevance Engine – uses natural-language processing and machine-learning to algorithmically understand content and visitors, matching it with demand and intent data from across the Web.

Created in 2009, BloomReach is headquartered in Mountain View, Calif., with offices worldwide and is backed by investment firms Bain Capital Ventures, NEA and Lightspeed Ventures. BloomReach’s portfolio of customers includes Neiman Marcus, Sears Outlet, Kohl’s, Staples, Drugstore.com and Williams-Sonoma. Learn more: www.bloomreach.com.

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Amazon Consulted By 90% of U.K. Holiday Shoppers, But Retailer Brand Loyalty Still Influential

 BloomReach Survey Shows New Retailer, Search Engine Struggles; Demonstrates Less Consumer Trust For “Deals”

London – December 17, 2015 – Following a record-setting Black Friday shopping weekend, a new U.K. consumer study from BloomReach fielded through the Black Friday shopping period – a central part of the holiday shopping season – found that retailers and search engines are facing new and expanding threats this holiday season from online superpower Amazon. However, the BloomReach survey of 1,000 U.K. consumers on holiday shopping behaviour uncovered some advantages and opportunities for retailers and search engines to regain market share in product search and purchases. BloomReach also separately surveyed 3,000 U.S. consumers with the same questions, uncovering eerily similar results.

Amazon continues to flex its muscles in almost every e-commerce category, with the BloomReach survey conducted by Survata indicating that consumers are expanding Amazon’s use cases – treating it more like a search engine.

  • 90% of consumers will consult Amazon on their gift purchases.
  • 46% will comparison-shop on Amazon for approximately 50+% of their holiday purchases.
  • 80% will buy from Amazon.
  • 70% will spend more than a quarter of their budgets on Amazon; 33% will spend more than half.
  • Even if consumers find exactly what they want with acceptable prices and shipping, 29% would still compare the product on Amazon; only 27% would buy it right then.

Many U.K. consumers appear to view Amazon’s product-searching capabilities better than search engines – specifically Google.

  • 43% say Amazon has better product-searching capabilities; 10% say Google; 47% say equivalent.
  • 44% of consumers won’t use Google Shopping to look for gifts. 32% don’t know what it is.
  • 66% of Google Shopping users said they found the gifts they wanted half the time or less, with 20% reporting they “never” found what they wanted.

“Probably the top advantage that Amazon has is its resources. Amazon has massive amounts of proprietary search and consumer-purchase data to apply its significant algorithmic intelligence for personalized search,” said BloomReach Head of Marketing and Partnerships Joelle Kaufman. “If I’m a retailer, I have a mandate to look outside of my own data silo to better present exactly what my customers want very quickly. When consumers are used to typing in two letters in their own way and seeing exactly what they want, retailers can’t rely on simply knowing who bought what.”

Amazon also is perceived as the place – online or offline – to get holiday gift ideas. About 43% named Amazon as the starting point when they knew what they wanted to get a particular person. However, when they did not know what to get someone:

  • 41% named Amazon as the starting point
  • 27% said search engines
  • 14% reported a preferred retailer’s physical store
  • 11% named a preferred retailer’s website

BloomReach asked U.K. Amazon shoppers exactly why they continually choose the company over other retailers. Unlike the U.S. – which thought the superior experience was the main reason – 42% of U.K. shoppers named better prices as the top reason. Coming in at a close second, approximately 37% of U.K. shoppers said the main reason they choose Amazon is for its ability to intuitively find or predict exactly what they want more quickly.

Interestingly, the U.S. sensation “Black Friday,” which follows the U.S. holiday Thanksgiving, seems to have picked up steam in the U.K. However, Black Friday – a traditional in-store shopping day – was overwhelmingly preferred by U.K. Shoppers to be an online-shopping day by a 74% to 26% margin. In addition, retailers’ attempts to woo U.K. consumers with major shopping-day deals or “door busters” seemed to be less trusted, as U.K. shoppers indicated that they didn’t expect retailers’ best deals till after Christmas.

  • 42% of consumers planned to shop for gifts after Christmas; 35% planned to purchase more than a quarter of their gifts after Christmas.
  • Most consumers (39%) don’t believe retailers are offering the best deals until after Christmas.
  • 45% of U.K. consumers reported shopping on Black Friday, but 37% reported shopping on Cyber Monday. This is in stark contrast to the U.S., where Cyber Monday was bigger than Black Friday.

The survey results also uncovered insights for both search engines and retailers on how to influence consumer shopping and where to regain market share – specifically relating to search budgets and frustration factors. Consumers repeatedly said that quickly delivering exactly what they want was the prescription for success.

  • Brand loyalty seemed to be slightly more powerful in the U.K. After searching on a search engine, 39% of holiday shoppers said the seeing a preferred retailer’s brand name was the most influential thing to get their first click. Approximately 34% said that product listing ads were the most influential element.
  • Interestingly, Amazon’s shipping still is the top concern, as 26% named it “most frustrating.” However, 25% said they had “no frustrations” with Amazon. Only 9% thought search and navigation was a problem.
  • Most consumers preferred to shop online this holiday season. The top two reasons provided were logistics/convenience (faster) at 28%, and finding exactly what they want (relevance) at 26%.

As consumers value Amazon’s predictive experience as a top differentiator, U.K. consumers see retailers’ digital properties as frustrating and have considerably low tolerance for irrelevance.

  • #1 consumer frustration about digital retailers: Poor product descriptions, followed by irrelevant search results on a retailer’s site-search.
  • 57% will only try twice to search for a product on a retailer’s site before giving up.
  • 56% expect a retailer site to have relevant auto-complete search functionality.
  • 46% will leave a site if they see three (3) irrelevant search results after searching on a retailer site.

“Clearly there is nothing more frustrating to consumers than searching with their own words and not seeing the product they want. Nothing is more central to the Web than search, and at the core of search is a deeply personal expression of language,” said Kaufman. “If you’re not getting each individual’s language right, then you might as well just redirect them to Amazon.”

BloomReach also surveyed 3,000 U.S. holiday shoppers with the same questions and found that the two countries are shockingly similar; however the U.K. was slightly more likely to involve Amazon in holiday shopping. In the U.S., approximately 87% will consult Amazon for their holiday purchases, with 73% buying from the company.

About BloomReach

The BloomReach Personalized Discovery Platform makes your content and products more discoverable with applications for organic search, personalized site-search and digital marketing and merchandising. BloomReach’s core technology – the Web Relevance Engine – uses natural-language processing and machine-learning to algorithmically understand content and visitors, matching it with demand and intent data from across the Web.

Created in 2009, BloomReach is headquartered in Mountain View, Calif., with offices worldwide and is backed by investment firms Bain Capital Ventures, NEA and Lightspeed Ventures. BloomReach’s portfolio of customers includes Neiman Marcus, Sears Outlet, Kohl’s, Staples, Drugstore.com and Williams-Sonoma. Learn more: www.bloomreach.com.

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amazon-personalization-infographic

Amazon Commands Nearly Half of Consumers’ First Product Search

 BloomReach Surveys Reveals Personalization Key Differentiator; Digital Marketers Facing Dual Threats

Watch Guidance SVP E-commerce & Omni-Channel Strategy, Brian Beck, and BloomReach Head of Marketing and Partnerships, Joelle Kaufman as they dig deeper into the findings and learn what opportunities there are for online retailers. Watch here.

Philadelphia (Shop.org Digital Summit) – October 6, 2015 – Amazon’s dominance in the record-setting $300 billion American e-commerce market continues to rapidly grow over its competitors, top search engines like Google and online retailers, according to a new Survata study commissioned by BloomReach. In a survey of 2,000 U.S. consumers, 44 percent bypass the whole Web, going directly to Amazon first to search for products, compared to 34 percent who use top search engines like Google, Bing and Yahoo!.

This represents a significant gain for Amazon since Forrester found in 2012 that 30 percent of consumers research products on Amazon first. Retailers fared worse with only 21 percent who say they’d start at a specific retailer. In addition, consumers are overwhelmingly being influenced by Web personalization technology; 87 percent said they’d specifically buy from the company that best predicts their intent and suggests products intuitively over all others.

Amazon has invested heavily in and touted its advanced algorithmic recommendation capabilities, and today a colossal 75 percent of consumers feel that no other online retailer can personalize experiences better than the company, with its nearest competitor Walmart.com registering 9 percent followed by eBay at 8 percent.

“Amazon has turned a slow-bleed of search engines’ and retailers’ e-commerce importance into a gushing wound,” said Joelle Kaufman, head of marketing and partnerships for BloomReach. “Search engines like Google have done their part by making product discovery and search intuitive, convenient and seamless; but if retailers want to slow Amazon’s dominance, then they must integrate technology that creates frictionless experiences for their customers across channels. Amazon has a commanding lead, but retailer personalization and brand experiences can power a counterattack.”

However, while Amazon advances the battlefield on one front, the traditional allies of retailers – the search engines – have inadvertently squeezed retailers from the other front. The BloomReach consumer survey found that consumers– by a 2:1 margin – are wondering why their favorite retailers aren’t delivering the same personalized discovery experience on site or on mobile that search engines provide on the wider Web.

Those facts were echoed as major concerns for digital marketers, when BloomReach surveyed 500 digital retail marketers. According to that survey, also conducted by Survata, marketers not only identified Amazon as their biggest threat (44 percent) compared to a direct competitor (20 percent) or eBay (21 percent), but 86 percent also feared that personalization technology from top search engines like Google was very or highly influential on consumers’ expectations for their sites. As a result of the growing technology gap from both ends, personalization ranked as the number-one priority that marketers will invest in over the next 18 months.

While both consumers and digital marketers agreed that convenience and relevance were the top two values that personalization offers, the two groups disagreed on what website personalization feature provided the most value. Consumers valued the onsite search box as the most-important feature, but marketers felt that navigation elements like facets and filters provided the best value. More significantly, marketers’ opinions on the best personalization value were all over the map – breaking down almost evenly across all categories: search box, navigation, suggested/related products and promoted products.

As the landscape for marketing technologies exploded to almost 2,000 participants, marketers have struggled to make sense of the noise. In fact, the BloomReach digital retail marketer survey revealed that marketers are split on how they define personalization: 38 percent believed it applied to consumer personas, 37 percent believed it applied to individual consumers and 24 percent still thought it applied to broad consumer segments or demographics.

BloomReach also studied consumer attitudes toward shopping on smartphones – compared to digital marketer perceptions and strategies. Conducting research on products and prices is the main reason (47 percent) people shop on smartphones, and almost half of those researching are specifically “showrooming” while in store.

Yet with mobile search traffic surpassing desktop for the first time in the U.S., 81 percent of consumers say that laptops/desktops still are the preferred way to make purchases, and 64 percent said the challenges of smartphones (smaller screens, typing) negatively affected their willingness to purchase. However, marketers don’t recognize that connecting and personalizing the mobile experience to other channels is important, while previous research shows that the majority of consumers would prefer to be recognized across channels. The BloomReach digital retail marketer study revealed that omnichannel technology ranked last in order of importance.

“People don’t think ‘Now I’m going to shop on my phone; now I’m going to shop on my laptop; now I’m back on my phone.’ They just shop,” said Kaufman. “But marketers often painfully approach omnichannel personalization in this way – siloing data and chalking every solution up to a responsive-design problem. Marketers are ignoring the 25x mobile-influence factor, inaccurately thinking that ‘omnichannel’ and ‘personalization’ are mutually exclusive.”

This study was unveiled one year after BloomReach released a similar study of UK consumers and marketers, finding that 82 percent of UK consumers thought Amazon was the best at personalizing.

About BloomReach

The BloomReach Personalized Discovery Platform makes your content and products more discoverable with applications for organic search, site-search and digital marketing and merchandising. BloomReach’s core technology – the Web Relevance Engine – uses natural-language processing and machine-learning to algorithmically understand content and visitors, matching it with demand and intent data from across the Web.

Created in 2009, BloomReach is headquartered in Mountain View, Calif., with offices worldwide and is backed by investment firms Bain Capital Ventures, NEA and Lightspeed Ventures. BloomReach’s portfolio of customers includes Neiman Marcus, Sears Outlet, Kohl’s, Staples, Drugstore.com and Williams-Sonoma. Learn more: www.bloomreach.com.

Infographic supporting findings from the BloomReach Study of U.S. Consumers and Digital Marketers on Personalization and Online Shopping

 

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BloomReach Delivers First Machine-Intelligence Tool to Guide Key Content Decisions For Site Merchandizing and Marketing

Compass gives big-data power to front-line business users to maximize performance of all products, categories, user experiences, promotions and search terms 

SEATTLE (Shop.org Annual Summit) – September 30, 2014 – BloomReach, the personalized discovery platform company, today announced BloomReach Compass, a big-data application that collects and understands online retailer data across channels and devices, then provides prioritized content opportunities that drive top-line revenue and site performance. Compass gives site-optimization, site-merchant, and search-marketers specific, product-level content suggestions to optimize for any business goal including revenue, add-to-cart rates and conversions.

Compass is the only tool of its kind that uses algorithmic intelligence and natural-language processing to identify content-performance opportunities – such as improving conversions on queries, products or categories. It also uses machine-learning to intuitively suggest fixes to issues – all while tracking the results in real-time. Compass visualizes the data and intuition that drives BloomReach Site Search, Navigation and Personalization (SNAP) and BloomReach Organic Search.

Merchandisers and digital marketers at large retailers make hundreds of decisions per week to determine which products to promote, adjust and feature in campaigns in the face of constantly changing consumer demand. But they have hardly any product-specific data to guide these decisions, relying mainly on natural instinct and educated guesswork. Existing digital tools are not designed to meet their needs or and business-intelligence resources are both costly and lack real-time solutions to improve digital commerce.

During a closed beta period, BloomReach Compass delivered significant value to three major U.S. retailers including Neiman Marcus, and is now generally available. At each retailer, as many as 40 merchants and marketers are using Compass, with some quickly generated, specific content suggestions generating more than $50,000 overnight.

“Neiman Marcus merchants aim to present the most relevant and curated products to our discerning customers. BloomReach Compass uniquely speaks the language of merchants and draws our attention to those products, categories and queries where we can deliver improved results,” said Peggy Trowbridge, Vice President, Web Merchandising of Neiman Marcus Direct. “The data and actions in BloomReach Compass paired with the instincts of our merchants drives meaningful growth in revenues, engagement and margins, which is why our web merchant team at Neiman Marcus leverages BloomReach Compass in our daily decisions.”

BloomReach Compass gives a panoramic view of how overall and specific content is performing, determines how consumers explore across products and intuitively tells merchants and marketers where there is potential for more revenue and better experiences through specific product promotions, navigation changes, and content enhancements that reduce duplicate, thin or irrelevant content. Armed with the specific suggestions of what and where to adjust based on product-level metrics, users have a continuously prioritized set of actionable and testable improvements to drive hundreds of content decisions a week that maximize revenue, engagement and consumer experiences.

BloomReach Compass includes a comprehensive set of tools and features, including:

  1. Playbooks – For every key activity of a user, BloomReach Compass has a playbook that presents the highest potential opportunities in a single click. Using proprietary analyses such as association scores – which calculate the strength of the relationship between two products – and co-viewed products – products in categories or search results that better match consumer intent – BloomReach’s unique algorithmic abilities distinguish consumer signals from noise and to present it visually to business users.
  2. Explore – Merchants can search the way they naturally think and speak, identifying improvement opportunities or asking questions in a free-text search. For example, they can access dashboards for products, brands, promotions, categories and queries that aggregate all important reports. BloomReach Compass has a data-visualization interface that avoids having to use clunky Boolean logic or outsource to groups disconnected from product and content decisions.
  3. Activity – All actions based upon a suggestion from BloomReach Compass can be easily tracked to measure and demonstrate the impact of the user’s action.Through the Solution Guides, accessible from any prioritized opportunity, users are guided to specific suggestions. For example, BloomReach Compass identifies poorly performing category pages due to thin or irrelevant content. By extracting all content attributes, the Solutions Guide identifies which related products consumers co-viewed after visiting that category page, which could be compelling additions to that category to increase conversion. The Solutions Guide also can improve site search, by recommending highly converting synonyms and redirects for each query and product across an entire catalog.

“Merchants are among the most important and powerful professionals within retailers because they make many decisions every day that can make or break entire profit margins, but ironically have the least access to data and tools to support those decisions,” said BloomReach co-founder and CEO Raj De Datta. “The entire e-commerce industry is experiencing fatigue around ‘big data analytics’ and ‘business intelligence.’ Digital teams don’t want more historical snapshots. They are highly capable people who need applications that put big data to work and allow them to make better strategic decisions looking forward – down to individual products.”

The prioritized opportunities and insights gained from BloomReach Compass also can fuel other digital marketing activities and campaigns. Search marketers can aid canonicalization, improve paid-search bidding strategies and make content more discoverable through organic search, while ensuring good site quality by identifying duplicate, thin or poorly linked content using BloomReach’s duplication reducing technology. Marketers also can plan email and social campaigns using the content-performance and co-viewing data.

Leveraging the Personalized Discovery Platform

As part of the Personalized Discovery Platform, BloomReach Compass’s integration process is simpler and less expensive than other merchandising solutions, requiring a single, integrated pixel.

BloomReach Compass is powered by the Web Relevance Engine, which understands content and consumer demand using search data, the most intimate indicator of consumer intent at a specific moment.

BloomReach also announced today its official launch in the United Kingdom, and released findings from a UK consumer and marketer personalization study, which revealed significant disconnects between consumer and marketer attitudes toward online personalization.

Additional Resources:

About BloomReach

The BloomReach Platform makes your content and products more discoverable with applications for organic search, site search and digital marketing and merchandising. BloomReach’s core technology – the Web Relevance Engine – uses natural-language processing and machine-learning to algorithmically understand content and visitors, matching it with demand and intent data from across the web.

Created in 2009, BloomReach is headquartered in Mountain View, Calif. with offices worldwide and is backed by investment firms Bain Capital Ventures, NEA and Lightspeed Ventures. BloomReach’s portfolio of customers includes Neiman Marcus, Sears Outlet, Kohl’s, Staples, Drugstore.com and Williams-Sonoma. Learn more: www.bloomreach.com.

Amazon leaves UK competitors in the dust on personalization – say 4 out of 5 UK shoppers

Study released as big-data marketing company BloomReach launches in the UK.
It finds a staggering mismatch between consumer and marketer attitudes to personalization – and its not what you think

30 September, London: Amazon sets the standard for retailers in offering a personalized experience for its customers, according to a study launched today by personalized discovery platform company, BloomReach. The research, conducted by RedShift Research, highlights the growing technology gap between the retailing giant and the rest of the e-commerce landscape. UK marketers greatly underestimate the importance of personalization to UK consumers. The study was commissioned as BloomReach, a company whose big data applications adapt consumer shopping experiences to ensure businesses deliver their most relevant content to each visitor across channels, launches in the UK.

Raj De Datta, co-founder and CEO of BloomReach said: “There is clearly a gap between what UK consumers are looking for in an online experience and what UK retail brands think consumers are looking for. Amazon has raised the bar in customer experience and the challenge is for retailers across the world to try to match that. The good news is that consumers are more open to competitor brands, placing little value in brand reputation but a lot of importance in the experience. Marketers need to recognize that brand reputation is not as important as they think it is and more on improving customer experience.”

The 2014 Consumer and Marketer Personalization Study from BloomReach explores UK consumer and industry attitudes toward online personalization features such as product recommendations, intuitive search results, relevant content and ease of navigation. The study sampled 1,000 UK consumers and 122 UK online retailers. Highlights include:

Amazon leads the way while other online retailers underestimate the importance of online experience to consumers

  • 82 percent of UK consumers said that no company offers the same levels of web-personalization as Amazon
  • 34 percent of retailers said they thought that brand reputation was the most important factor when consumers choose a retailer and just 2 percent thought that personalized shopping experience was an important factor
  • However, 31 percent of consumers said they would be more likely to make purchases if they were offered personalized experiences such as product recommendations or tailored content and 85 percent said brand reputation was not an important factor
  • 59 percent of consumers believe that online experiences are more unique to their needs; however, 80 percent of retail marketers disagreed with this, saying that online could not offer a more personal experience.

BloomReach launches in the UK

BloomReach formally launches today in the UK after working with top US companies such as Staples, Guess and Williams-Sonoma. It is already helping top UK ecommerce sites such as Wayfair, StubHub, Boden, Forever 21 and Lakeland harness customer data to transform their websites and content into intelligent, automatically updating experiences. On average, BloomReach sees more than 20 percent lift across UK customers. In the U.S., BloomReach works with 24 of the U.S. Internet Retailer Top 100 companies and 100 other companies.

Founded by Raj De Datta, a Silicon Valley entrepreneur and former director of product marketing at Cisco and Ashutosh Garg, a former Google data scientist, BloomReach uses machine-learning and natural-language processing to determine consumer intent and match it to an online retailer’s content. Through this, BloomReach transforms websites, mobile sites and apps into intuitive personalized experiences for each consumer, processing more than 150 million web pages and one billion consumer interactions a day. Gartner predicts that by 2018, companies that have fully invested in all types of online personalization will outsell those that do not by more than 30 percent.

BloomReach also launched today, the industry’s first machine-intelligence tool that guide merchants and search marketers on key content decisions. BloomReach Compass provides a user portal for retailers to optimize their sites. The portal uses BloomReach’s deep content understanding to recognize opportunities to improve user experiences and boost sales through site data.

About BloomReach

The BloomReach Personalized Discovery Platform makes your content and products more discoverable with applications for organic search, site search and digital marketing and merchandising. BloomReach’s core technology – the Web Relevance Engine – uses natural-language processing and machine-learning to algorithmically understand content and visitors, matching it with demand and intent data from across the web.

Created in 2009, BloomReach is headquartered in Mountain View, Calif. with offices worldwide and has raised $41 million to date from investment firms Bain Capital Ventures, NEA and Lightspeed Ventures. BloomReach’s portfolio of customers includes Neiman Marcus, Sears Outlet, Kohl’s, Staples, Drugstore.com and Williams-Sonoma. Learn more: www.bloomreach.com.

About the study

The study combines data from a quantitative consumer survey which was conducted among 1,000 UK consumers, who shop online to at least some extent. The second was a B2B survey. This survey was conducted among 122 UK online retailers. Individuals who were responsible for the marketing and sales strategy of their company’s online shop were interviewed.

The interviews were conducted online by Redshift Research in August and September 2014 using an email invitation and an online survey.

BloomReach Reinvents Personalized Site Discovery For Every Visitor On Any Device

Big Data Application Gives Marketers and Merchants Unprecedented Insights With First Integrated Approach To Search, Navigation and Personalization

MOUNTAIN VIEW, CALIF. – February 25, 2014 – BloomReach, creators of the leading big-data marketing applications, today launched BloomReach Search, Navigation and Personalization (SNAP), a smart application that personalizes site discovery for all consumers on any device or channel in real-time. In addition, BloomReach SNAP exposes its big-data insights to marketers and merchants so that they can drive more revenue and better site-wide consumer engagement.

For consumers, BloomReach SNAP connects user experiences anonymously as they shop across devices, and then dynamically adapts sites’ search, navigation and content uniquely to each visitor. Using the industry’s most sophisticated web-search algorithms, it combines behavioral patterns, natural-language processing, machine-learning and other signals of intent to instinctively present the most relevant search results, left-navigation and contextual filters.

BloomReach SNAP functions autonomously and learns from all visits, but allows marketers and merchants to make data-driven decisions that enhance and teach the smart machine using a rich set of analytics and visual controls. This big-data-driven approach represents a paradigm shift for marketers, who typically have used extensive manual processes to adjust sites for specific business objectives. While BloomReach SNAP can optimize a site for each consumer’s behavior, merchants can make sure that specific pages or products are always or more easily discovered regardless of consumer queries. Without logging on to multiple site-management applications, BloomReach SNAP presents them with real-time data such as revenue per visit (RPV), conversions or other metrics site-wide that give the marketers insights into how to drive more revenue.

Unlike other onsite and personalization applications that mirror early internet search technology with manual tags, rules and hierarchies, BloomReach SNAP uses the industry’s most powerful natural-language processor to extract and connect product attributes to the countless ways that consumers describe and discover online – learning from all channels, visitors and devices. Merchants can tailor the experience without writing extensive rules, manually tagging content or testing proscribed combinations for quality search results or “personalization.”

BloomReach SNAP continuously interprets site content and web-wide demand to present new or return visitors with personalized search and navigation, while automatically refining the experience as visitor context changes in real-time.

In addition to today’s launch, BloomReach also announced an expanded ecosystem partnership with International Business Machines (IBM), to natively integrate BloomReach SNAP with WebSphere Commerce as the premium, upgraded site search, navigation and personalization technology.  The integration will be available in the coming months.

Why Personalization Matters:

  1. Gartner predicts that by 2018, companies that have fully invested in all types of online personalization will outsell those that do not by more than 30 percent.
  2. 55 percent of consumers think website recommendations based on their past browsing and shopping behavior are “desirable to receive.”
  3. 60 percent of marketers note they struggle to personalize content in real-time, yet 77 percent believe real-time personalization is crucial.
  4. 75 percent of marketers say “dynamic, personalized content” across channels is very important, but most are still in planning stages.

BloomReach SNAP is built on BloomReach’s signature technology, the Web Relevance Engine, a smart machine that uses machine-learning and natural-language processing to synthesize understanding, intent and implications within a retailer’s content, one billion consumer visits per week and one billion consumer interactions web-wide per day. Deb Shops and Sears Hometown and Outlet are the first customers of BloomReach SNAP.

“Engagement is central to driving our business online and off, and Sears Hometown and Outlet is committed to delivering the most relevant content to our customers, whether they search, browse or want recommendations on what to buy. We also recognize that consumers use different devices at every point in their path-to-purchase, and BloomReach SNAP gives us the ability to deliver real-time personalization while giving our merchants the data to inform their actions,” said Donnie Franzen, director of e-commerce at Sears Hometown and Outlet. “Having the ability to respond to individual shoppers in real-time is essential to giving customers what they want quickly, while driving our bottom line.”

How BloomReach SNAP Combines Smart Marketers with the Smart Machine:

  1. 1.       Boost or Bury – Marketers and merchants can promote or demote products based on real-time performance metrics.
  1. 2.       Page Creation informed by data and WSYWIG editing – Create, curate and manage category pages recommended by the machine or by merchants. Then, customize for specific performance metrics or campaigns.
  1. 3.       Goal-optimized site-search results – Create new category pages or redirect queries to existing pages to optimize for specific goals like relevance, revenue per visit and engagement.

What BloomReach SNAP Personalizes for Each Consumer:

  1. Individual-centered experience –From content recommendations, search results and the left-hand navigation and filters, the user experience automatically adapts to the intent and preferences of each visitor.
  1. Cross-device – Without visitor authentication, personalization elements like previously viewed products, dynamic categories and more adapt and learn from each visitor as they move across devices through their individual path-to-purchase.
  1. Consumer-driven discovery – Visitors visually browse similar products by clicking “More Like This.” Visitors get the most advanced search-engine-like recommendations based on their observed tastes for certain styles, sizes, brands and even sale items through “Just For You.”

“Consumers’ onsite experience should be as personal and as responsive as physically shopping in a well-designed store with a helpful staff. We built BloomReach SNAP to analyze and respond to every consumer interaction – ultimately connecting user experiences as they shop across devices,” said Raj De Datta, co-founder and CEO of BloomReach. “At the same time, no one knows a business’s objectives like its marketers and merchants, so we also developed tools that empower these experts to take data-driven actions to reach their goals.”

About BloomReach
BloomReach’s big data marketing applications drive new revenue by consuming web-wide and website data to interpret consumer demand and deliver more relevant user experiences on any marketing channel. BloomReach’s unique big data marketing applications that drive revenue – BloomReach Organic Search for organic-search customer acquisition and BloomReach SNAP for Desktop, Tablet and Mobile for cross-channel-optimized personalized discovery experiences – are built on BloomReach’s signature technology, the Web Relevance Engine (WRE). The BloomReach WRE analyzes consumer interactions across billions of pages, leverages the web’s collective intelligence, and incorporates machine-learning to predict demand and deliver relevant content such as enhanced landing pages, intuitive alternative navigation or social trends.

BloomReach is headquartered in Mountain View, Calif., and is backed by investment firms Bain Capital Ventures, NEA, and Lightspeed Ventures. For more information, please visit www.bloomreach.com.

 

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BloomReach Unveils Partner Ecosystem Demonstrating Growing Market Importance

Partner Networks Allows Retailers to Easily Integrate BloomReach Organic Search, Mobile Applications 

MOUNTAIN VIEW, CALIF. – Dec. 13, 2013 – BloomReach, creators of the leading big-data marketing applications, today announced a new partner ecosystem that includes the market’s top enterprise e-commerce platforms, mobile commerce platforms, agencies and tag-management technologies. As consumer expectations rise for more relevant and personalized experiences across every channel, online retailers are challenged with integrating multiple data-driven technologies that deliver a connected experience. The BloomReach partner ecosystem allows retailers to more quickly and cost-effectively deploy complementary technologies without disrupting an organization’s existing infrastructure.

The ecosystem is divided into two groups: companies certified as “BloomReach Ready,” which means they have pre-wired integration that allow for simpler and efficient deployment of specific BloomReach applications; and “BloomReach Certified Experts,” which are marketing agencies that are knowledgeable on all BloomReach big data marketing applications.

The BloomReach Ready partners are for:

  • BloomReach Organic Search, which captures big data about demand, products and behavior from across the web and on retailers’ sites to optimize ecommerce content to attract the maximum relevant consumer intent, driving expanded organic search discovery and revenue. These partners include the top e-commerce platforms such as:
  • BloomReach Mobile, which delivers personalized discovery on mobile devices through optimized, personalized search, visual browsing, social trending and cross-device recommendations. It maps to the unique characteristics of both the mobile visitor and the device itself to the merchant’s offerings. The mobile commerce platforms that complement BloomReach Mobile are:
  • Tag management systems can expedite deployment of either BloomReach Organic Search or BloomReach Mobile. Those companies include:

The BloomReach Certified Experts group of top marketing agencies consists of:

“Big data strategies are quickly becoming an essential cornerstone to stay competitive in e-commerce, and BloomReach is honored to be trusted by both established e-commerce leaders and innovative new technology companies as the go-to big data marketing leader,” said BloomReach Head of Marketing and Partnerships Joelle Kaufman. “We’ve built a client list of more than 120 e-commerce leaders including 24 of the Internet Retailer Top 100, and we look forward to exploring new opportunities through our partners.”

“With consumers’ heightened expectation for a highly personalized shopping experience, retailers are looking for new and innovative ways to deliver personalized and relevant content to attract and engage shoppers,” said John Mesberg, Vice President, IBM B2B & Commerce Solutions. “Together, IBM and BloomReach are helping retailers meet these shopper expectations, increase site traffic and drive sales by engaging customers. Through an enhanced organic search process that automatically adapts to shopper preferences, customers can find the products they are looking for quickly and easily.

“Whether the primary goal for brands is to acquire new customers, offer a more seamless cross-channel shopping experience, or grow traffic and sales, those that continue to increase their ability to access and make use of data from both inside and outside the organization will have a significant competitive advantage,” said Dale Nitschke, Managing Partner at Ovative Group and Former President of Target.com. “BloomReach has the best data engine available to deliver more relevant and personalized experiences across devices and channels, creating higher revenue per visitor.

BloomReach Organic Search and BloomReach Mobile are powered by BloomReach’s signature technology, the Web Relevance Engine (WRE), which combines web-wide intelligence and a deep understanding of each customer’s content and visitor’s behavior using machine-learning and natural-language processing to deliver highly relevant and adaptive content. It processes more than five terabytes of data and 150 million web pages a day, making it the most powerful big data marketing application commercially available in the world.

BloomReach Organic Search helps companies capture up to 60 percent net-new users that they cannot acquire through other channels and delivers uplift from organic search of 20 to 80 percent and a three-year profit ROI of more than 150 percent.

BloomReach Mobile creates unique, multi-channel experiences using data-driven search, visual discovery and individually created categories and selected results – increasing revenue per visit as much as 40 percent per visit.

About BloomReach
BloomReach’s big data marketing applications drive new revenue by consuming web-wide and website data to interpret consumer demand and deliver more relevant user experiences on any marketing channel. BloomReach’s two unique big data marketing applications that drive revenue – BloomReach Organic Search for organic-search customer acquisition and BloomReach Mobile for cross-channel-optimized mobile experiences – are built on BloomReach’s signature technology, the Web Relevance Engine (WRE). The BloomReach WRE analyzes consumer interactions across billions of pages, leverages the web’s collective intelligence, and incorporates machine learning to predict demand and deliver relevant content such as enhanced landing pages, intuitive alternative navigation or social trends.

BloomReach is headquartered in Mountain View, Calif., and is backed by investment firms Bain Capital Ventures, NEA, and Lightspeed Ventures. For more information, please visit www.bloomreach.com.

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BloomReach and IBM Team To Drive Revenue for Retailers, Relevance For Consumers

BloomReach Organic Search Now Integrated with IBM WebSphere Commerce 

CHICAGO (Shop.org Annual Summit) – October 2, 2013 – BloomReach, creators of leading big-data marketing applications, today announced a key relationship with International Business Machines (IBM), joining its Smarter Commerce ecosystem of partners as the first partner offering an organic search application. BloomReach Organic Search, which leverages big data from across the web and retailers’ sites to match consumer intent to relevant content for expanded organic search discovery and revenue, easily integrates with IBM WebSphere Commerce software allowing retailers to attract new customers through organic search. Clothing retailer Men’s Wearhouse was also named the first company to integrate BloomReach Organic Search on the WebSphere Commerce platform.

The vast majority of online search traffic is organic, estimated to be up to 94 percent of the links clicked on by consumers. However, poor experiences and the inability of customers to quickly and easily find the products they’re looking for are the leading causes of missed sales and lost opportunities for many retailers. In fact, an IBM report published earlier this year found that $83 billion is lost in U.S. sales each year due to poor user experiences. IBM WebSphere Commerce together with BloomReach Organic Search can ensure that enterprises effectively leverage their own content to deliver exceptional customer experiences and surface the most relevant products to shoppers based on intent expressed in organic search.

Powered by BloomReach’s signature technology, the Web Relevance Engine (WRE), BloomReach Organic Search combines web-wide intelligence and a deep understanding of each site’s content with machine-learning and natural-language processing to predict demand and adapt or create pages to match consumer intent. BloomReach Organic Search helps companies capture up to 60 percent net-new users that they cannot acquire through other channels and delivers uplift from organic search of 20 to 80 percent and a three-year profit ROI of more than 150 percent.

“IBM is a leader in e-commerce, with a trusted reputation and a premier cross-channel commerce platform. Combined with BloomReach’s big data applications, retailers now have the most comprehensive organic search discovery solution available,” said Raj De Datta, co-founder and CEO of BloomReach. “Our two-part mission is the same – to build the most relevant experience for consumers and to drive higher returns for marketers.”

IBM WebSphere Commerce software is a powerful customer interaction platform for online and cross-channel commerce, built for a wide range of environments. WebSphere Commerce software is a leading e-commerce solution designed to support virtually all of a company’s business models while providing a rich, differentiated customer experience through a single platform.

“With consumers’ heightened expectation for a highly personalized shopping experience, retailers are looking for new and innovative ways to deliver personalized and relevant content to attract and engage shoppers,” said John Mesberg, Vice President, IBM B2B & Commerce Solutions. “Together, IBM and BloomReach are helping retailers meet these shopper expectations, increase site traffic and drive sales by engaging customers. Through an enhanced organic search process that automatically adapts to shopper preferences, customers can find the products they are looking for quickly and easily.”

Additional Resources:

About BloomReach
BloomReach’s big data marketing applications drive new revenue by consuming web-wide, mobile and website data to interpret consumer demand and deliver more relevant user experiences on any marketing channel. BloomReach’s two unique big data marketing applications– BloomReach Organic Search fororganic-search customer acquisition and BloomReach Mobile for cross-channel-optimized mobile experiences– are built on BloomReach’s signature technology, the Web Relevance Engine (WRE). The BloomReach WRE analyzes consumer interactions across billions of pages, leverages the web’s collective intelligence, and incorporates machine learning to predict demand and deliver relevant content such as enhanced landing pages, intuitive alternative navigation or social trends.

BloomReach is headquartered in Mountain View, Calif., and is backed by investment firms Bain Capital Ventures, NEA, and Lightspeed Ventures. For more information, please visit www.bloomreach.com.

BloomReach Joins Demandware LINK to Accelerate Big Data Marketing Integration and Commerce

Pre-built integration makes it faster and easier for Demandware clients to get found™ through organic search

 

Mountain View, Calif. – August 28, 2013 – BloomReach, creators of big data marketing applications, today announced that it has become a Demandware LINK Technology Partner, joining a best-of-breed community committed to accelerating the adoption of innovative commerce technologies that are complementary to the Demandware® Commerce platform. Through the LINK Technology Partner Program, BloomReach has developed a pre-built integration making it possible for Demandware clients to implement its big data organic search marketing application in a fraction of the time normally required.

BloomSearch has been proven to provide up to a 196 percent return on investment (ROI) with a payback period of only 2.2 days for established eCommerce brands. In addition, BloomReach Organic Search attracts an average of 60 percent new customers – customers not cost effectively accessible through other channels including paid search, display or advertising.

The Demandware LINK Technology Partner Program provides Demandware clients with a rich of set of pre-built integrations to cutting-edge commerce technologies and applications that can unlock revenue, generating opportunities and enhance the brand experience. By reducing the cost and complexity of integrations, Demandware LINK allows retailers to adopt innovative third-party technologies quickly and cost-effectively, allowing them to accelerate time to market and attain a faster return on their investment.

“Demandware Commerce and the LINK technology program offers a robust platform for online retailers to integrate our big data marketing application for organic search and get more of their valuable content discovered,” said Raj De Datta, CEO of BloomReach. “Marketers face an uphill battle against online commerce leaders and infinite consumer choice. Both they and IT departments have limited budgets and need solutions that generate revenue without taking too much time. Through the Demandware Link Technology Partner Program, we can offer an answer to both problems.”

About BloomReach
BloomReach’s big data marketing applications drive new revenue by consuming web wide and website data to interpret consumer demand and deliver more relevant user experiences on any marketing channel. BloomReach’s first big data marketing application – BloomReach Organic Search for natural search customer acquisition – is built on BloomReach’s signature technology, the Web Relevance Engine (WRE). The BloomReach WRE analyzes consumer interactions across billions of pages, leverages the web’s collective intelligence, and incorporates machine learning to predict demand and deliver relevant content such as enhanced landing pages, intuitive alternative navigation or social trends.

BloomReach is headquartered in Mountain View, Calif. and is backed by investment firms Bain Capital Ventures, NEA, and Lightspeed Ventures. For more information, please visit www.bloomreach.com.

BloomReach Launches Big Data Application To Transform Mobile Experiences

MOUNTAIN VIEW, CALIF. – July 15, 2013 – BloomReach, creators of big-data marketing applications, today unveiled BloomReach Mobile, the market’s first cross-channel-optimized mobile search and discovery solution. BloomReach Mobile is built using BloomReach’s signature technology, the Web Relevance Engine, which delivers relevant cross-channel experiences by leveraging the collective intelligence of both the web and individual sites to match content with user intent. With continuous, data-driven optimization, BloomReach Mobile increases revenues across all shopping channels.

Smartphones are increasingly omnipresent in the consumer path to purchase and to influence web and in-store purchases. A reported 65 percent of online searches begin on a smartphone, and 85 percent of consumers use their smartphones while shopping in a store. BloomReach’s Mobile big data application makes existing mobile sites and applications relevant to each visitor with continuously optimized content mapped to the unique characteristics of both the mobile visitor and the device itself. With an integrated combination of services, BloomReach Mobile delivers relevant content to loyal shoppers, focused searchers and casual browsers. As the first big data marketing solution for mobile search and discovery, BloomReach Mobile uses web-wide and social data, natural-language processing and machine learning to provide unique, multi-channel experiences with data-driven search, visual discovery and individually created categories and selected results – increasing revenues as much as 40 percent per visit.

“Our goal at Deb Shops is to provide each and every customer with a superior experience that lets them find what they’re looking for quickly while having fun,” said David Cost, vice president of ecommerce and digital marketing at Deb Shops. “BloomReach Mobile has allowed our mobile customers to expedite rapid and deep discovery of our products to create unique brand experiences for the fastest-growing segment of multi-channel shoppers.”

Retailers are experiencing rapid increases as mobile traffic, which is projected to overtake desktop by 2015. As a result, many retailers are focusing on responsive-design mobile experiences hoping that their immediacy and simplicity will increase conversions. BloomReach Mobile goes beyond design to provide responsive experiences where all mobile content is responsive, data-driven and optimized to yield the highest results.

“Mobile presents marketers with an unprecedented opportunity to be with the customer or prospect at virtually every step of the path-to-purchases and to convert satisfied customers into brand ambassadors,” noted Gartner analysts Mike McGuire and Jake Sorofman in the report Where Mobile Fits on the Strategic Roadmap. ” Market dynamics — including marketers’ desire to create new and lasting forms of engagement — and the increasing utility of consumer mobile devices points to a future in which mobile can become the primary mode of engagement between consumers and brands.

Differentiation Through Cross-Channel Optimization:

Cross-channel optimization identifies anonymous, individual user profiles and determines if customers are likely the same person using multiple devices without customer authentication. BloomReach Mobile then uses these insights to create dynamic categories based on the shopper’s on-site web and mobile activity in addition to presenting the most relevant products and search suggestions. This rewards loyal shoppers with intuitively connected experiences on the website, mobile site or app. BloomReach Mobile also provides analytics that track usage from mobile discovery to web purchase to help retailers assess mobile influence across their channels.

Using each individual shopper’s cross-channel behavior, BloomReach Mobile automatically creates personalized dynamic categories that group products which are relevant to that shopper based on shared product attributes like brand, color, style, category or even a shopper’s preference for on-sale items, pins and likes. For example, if a shopper often uses her laptop to look at new heels that are on sale, then she would have a category showing her the latest heels on sale on her smartphone. Furthermore, if she shifts browsing toward a certain style – like open-toed – BloomReach Mobile can adapt the experience and create a dynamic category such as “open-toe heels on sale” to reflect a more unique fit.

Machine-Learning Powers Predictive Search, Auto-Suggest and Contextual Search:

BloomReach Mobile transforms the mobile experience for searchers by incorporating machine learning, cross-channel behavior and web-wide intelligence to intuitively deliver search and discovery determined by data analysis across a retailer’s site and the web. Auto-suggestions and predictive search use big data collected daily from 150 million web pages and more than a billion consumer interactions to make thumb-searching simple by suggesting contextual phrases from only one to two characters. Then, it rapidly shows relevant products based on consumer intent and mobile site content. Visual browsers can refine their results through the BloomReach Mobile “More Like This” capability with single-tap product navigation and refinement created for on-the-go searchers – guiding shoppers intuitively from their initial search to discovering deeper content that better fits their intent.

Turn Trending Social Data Into Revenue:

BloomReach Mobile offers “Trending” to retailers who want to transition browsing users to loyal customers. The “Trending” feature provides social discovery informed by the social-networking referral traffic from both mobile and websites. Trending social discovery is continuously updated and increases both time-on-site and frequency of visits.

“We have built our business using big data applications to create relevant experiences that connect marketing content with customers at the right moment. Now, we create those experiences across and on the right devices,” said Raj De Datta, CEO of BloomReach. “BloomReach Mobile is designed mobile-first – architected for the distinct characteristics of mobile discovery, which is very different from in-store or web discovery. We use our Web Relevance Engine to deliver responsive experiences optimized to make consumers happy and maximize mobile-influenced revenue.”

Check out the official BloomReach Mobile video for a visual explanation, or watch this video to see it in action.

Additional Resources:

*Gartner [Where Mobile Fits on the Strategic Roadmap, Mike McGuire and Jake Sorofman, February 12, 2013]

About BloomReach
BloomReach’s big data marketing applications drive new revenue by consuming web-wide, mobile and website data to interpret consumer demand and deliver more relevant user experiences on any marketing channel. BloomReach’s two unique big data marketing applications – BloomReach Organic Search for organic-search customer acquisition and BloomReach Mobile for cross-channel-optimized mobile experiences – are built on BloomReach’s signature technology, the Web Relevance Engine (WRE). The BloomReach WRE analyzes consumer interactions across billions of pages, leverages the web’s collective intelligence, and incorporates machine learning to predict demand and deliver relevant content such as enhanced landing pages, intuitive alternative navigation or social trends.

BloomReach is headquartered in Mountain View, Calif., and is backed by investment firms Bain Capital Ventures, NEA, and Lightspeed Ventures. For more information, please visit www.bloomreach.com.

BloomReach Completes Acqui-Hire of E-commerce Startup ShopLogic

CEO Kevin Chan and CTO Dennis Maskevich Bring Ad Technology Expertise to Big Data Marketing Leader

MOUNTAIN VIEW, CALIF. – May 30, 2013 – BloomReach, creators of the first big-data marketing applications, today announced the acqui-hiring of the co-founders behind promotions management platform company ShopLogic. CEO Kevin Chan and CTO Dennis Maskevich will help BloomReach meet increasing demand for its big data marketing applications by joining the product and engineering teams to build, expand and upgrade its product offerings.

At ShopLogic, Chan and Maskevich built a successful business that provided e-commerce merchants with an intelligent way to manage and optimize promotional marketing using customer interaction and purchase data. Founded in 2011, the company has several mid-sized customers who have experienced a significant impact on their businesses. On average, ShopLogic customers have achieved an 11 percent increase in net revenue.

BloomReach, who recognized the talent and industry knowledge that the two co-founders offered, has experienced significant growth since officially launching in 2012 and serves 11 of the Internet Retailer top 100 online and 29 of the top 500, including Neiman Marcus and Williams-Sonoma. Chan and Maskevich, decided that the best way to fully realize their vision for online commerce was to build upon BloomReach’s technology as part of the BloomReach team.

“After closely following the progress of ShopLogic and the drive of both Kevin and Dennis, we knew that the best way to create great web experiences for consumers and more revenue for our clients by matching consumer intent with relevant content was to integrate ShopLogic’s leadership,” said Raj De Datta, CEO and co-founder of BloomReach. “They have a unique skillset that will help us better serve our customers by building more big data marketing applications for any online channel.”

ShopLogic’s platform will continue to operate for its customers independently of BloomReach, but no further sales or marketing will take place.

“Since the first time we imagined ShopLogic, our vision was to create technology and a company that delivers greater return for e-commerce marketers through better visibility and profitability,” said Chan. “We are combining what we’ve learned with the incredible big data technology of BloomReach, one of the fastest-growing big data companies in Silicon Valley.”

ShopLogic originally launched with seed funding from big data venture capital firm Data Collective and AngelPad, a mentorship program started by ex-Googler Thomas Korte. Before founding ShopLogic, both Chan and Maskevich worked at Adchemy, a prominent online advertising technology company.

About BloomReach
BloomReach’s big data marketing applications drive new revenue by consuming web-wide and website data to interpret consumer demand and deliver more relevant user experiences on any marketing channel. BloomReach’s two unique big data marketing applications – BloomSearch for natural search customer acquisition and BloomLift to increase advertising ROI – are built on BloomReach’s signature technology, the Web Relevance Engine (WRE). The BloomReach WRE analyzes consumer interactions across billions of pages, leverages the web’s collective intelligence, and incorporates machine learning to predict demand and deliver relevant content such as enhanced landing pages, intuitive alternative navigation or social trends.

BloomReach is headquartered in Mountain View, Calif. and is backed by investment firms Bain Capital Ventures, NEA, and Lightspeed Ventures. For more information, please visit www.bloomreach.com.

BloomReach Launches Continuous Quality Management With Actionable Content Quality Metrics

New Interface Delivers Marketer Control and Big Data Scale For Superior User Experience

MOUNTAIN VIEW, CALIF. – May 14, 2013 – BloomReach, creators of the first big-data marketing applications, today released Continuous Quality Management (CQM) technology delivering ongoing web page quality visibility and management. CQM introduces four types of continuously updated quality metrics for every page managed by BloomReach including content, behavior, uniqueness and flux – all powered by BloomReach’s big-data web relevance engine. CQM gives marketers more control over the quality of each page published by combining marketer judgment with machine-learning to deliver the best user experience, matching content to intent.

The four types of quality metrics are integral to successfully optimizing for visitor happiness, and were refined through analysis of hundreds of millions of pages. Marketers can access CQM through a new interface in the BloomReach dashboard and use the unique metrics to set rules, filter and act on pages.

Quality is a significant predictor of online customer satisfaction and conversion – and one of the hardest characteristics to continuously measure – with thousands of differing online resources discussing web page quality. Ecommerce sites with a large number of pages and frequently changing product content have considerable challenges ensuring every page maintains high quality.

For example, a category page launched with 10 products with every product matched to the category can become low quality if some of the products quickly go out-of-stock or are discontinued.  Exacerbating the problem is that a growing percentage of consumers express their interest more specifically – with seven out of every 10 searches being “long-tail.” Managing paid-search ads and intent-specific landing pages to capture those consumers is increasingly difficult at the scale and speed of the market.

BloomReach has developed and optimized its big-data algorithms and manual processes throughout the past four years analyzing millions of pages using the Web Relevance Engine™ and BloomReach staff to measure content quality, exercise judgment and execute on site-specific business rules to improve quality. CQM makes these metrics and processes directly accessible to marketers. Armed with page-quality analytics provided by CQM, marketing now can determine the quality on a page prior to extensive traffic data.

Marketers can view pages, edit content on pages and act upon the metrics. In addition, they can set per-metric thresholds for publishing, review and retiring pages. This unique combination mixes the computational power of big data with the intuition of humans. Marketers can now easily control and track page performance, increasing traffic, conversions, and reach while maximizing the quality of every page they publish.

The Metrics of Continuous Quality Management

The four types of metrics within CQM are Content, Behavior, Uniqueness and Flux. Every metric can be used for analysis, filtering and to set thresholds for action.

  • Content is determined by interpreting a page’s topic and comparing the content to the topic.  Content Quality considers the number of unique, relevant products on the page as well and the fit of the products and their attributes to the intent.
  • Behavior is measured by integrating traffic metrics such as bounce rate, conversion in addition to other factors.
  • Uniqueness is measured using BloomReach’s Dynamic Duplication Reduction (DDR) technology to determine how much of the content on the page is unique versus other pages on the site.
  • Flux captures the rate of change of products on the page, which is critical to understanding why quality can degrade over time and critical to predicting pages that require further inspection.

“The perfect balance of technology for generating high-quality content and relevant experiences are those that let machines do what they do best – interpret and act on unmanageable amounts of data – and leave the fine tuning and quality assurance to humans,” said Raj De Datta, CEO of BloomReach. “The launch of CQM gives e-tail marketers a proven tool to manageably capture the long tail at scale with high quality, relevant content.”

For more information, please visit the CQM web page.

About BloomReach
BloomReach’s big data marketing applications drive new revenue by consuming web wide and website data to interpret consumer demand and deliver more relevant user experiences on any marketing channel. BloomReach’s two unique big data marketing applications – BloomSearch for natural search customer acquisition and BloomLift to increase advertising ROI – are built on BloomReach’s signature technology, the Web Relevance Engine (WRE). The BloomReach WRE analyzes consumer interactions across billions of pages, leverages the web’s collective intelligence, and incorporates machine learning to predict demand and deliver relevant content such as enhanced landing pages, intuitive alternative navigation or social trends.

BloomReach is headquartered in Mountain View, Calif. and is backed by investment firms Bain Capital Ventures, NEA, and Lightspeed Ventures. For more information, please visit www.bloomreach.com.

Independent Study Reveals BloomReach’s Big Data Marketing Application Can Reach 60 Percent More Customers Missed Through Other Channels

Data demonstrates 196 percent ROI over three years for consumers missed by other marketing channels for established brands

MOUNTAIN VIEW, CALIF. – February 21, 2013 – BloomReach, creators of leading big data marketing applications, today released the results of a BloomReach commissioned study conducted by Forrester Consulting, “The Total Economic Impact Of BloomSearch”. The Total Economic Impact (TM), a standard methodology developed by Forrester Research Inc., enhances a company’s technology decision-making process. The study concludes that a composite, established brand retail organization selling $3.5 billion annually from a portfolio of 25,000 products could experience a three-year return on investment (ROI) of 196 percent with a payback period of 2.2 days by using BloomReach’s first application, BloomSearch. In addition, the study found that organizations using BloomSearch experience a substantial increase in site traffic from unique visitors and reached 60 percent more customers that are not easily accessible through other marketing channels including paid search, display, or affiliate advertising. For established brands, BloomSearch doubled conversions compared to paid search.

The TEI found that for a composite, emerging brand organization (an online retailer making $250 million annually) more than $75 million in new sales over three years can be attributed to BloomSearch. These sales have a return on ad spend of $5.85 and a payback period of 1.2 months. BloomSearch also accounts for tripling conversions compared to the paid search efforts in which the emerging brands invest. The emerging brand companies interviewed in the study credit higher conversions rates than paid search, brand-building at a lower cost, and the ability to acquire new customers that are not being reached through other channels as the main drivers for the success of the program with BloomSearch.

“BloomSearch is designed to amplify online marketing channels and maximize the demand for existing products, services and content. The end result is increased revenue and market share for companies,” said Raj De Datta, CEO and co-founder of BloomReach. “We believe this new study demonstrates the value that BloomReach’s big data marketing applications can deliver to both consumers and businesses. We provide technology that delivers action and results, a better user experience and incremental revenues for our customers.”

Forrester interviewed four companies that have used BloomSearch for at least six months and up to three years and conducted subsequent analysis. In addition to the ROI and payback period findings, Forrester also identified several other measurable benefits to BloomSearch’s technology:

– For established brands, BloomSearch delivers conversion rates that are similar to internal lists, new customers that cannot be reached through other channels and the ability to more efficient remarket via multichannel marketing programs.

– Smaller emerging organizations that didn’t previously have a widely recognized brand or large volumes of traffic found BloomSearch to be more cost-effective and predictable than traditional advertising for brand-building and acquiring new customers, resulting in a 638 percent ROI based on the study’s results.

“Before partnering with BloomReach, we had a discovery problem,” Erik Small, Senior Manager, Online Advertising & eCommerce for Meijer explains. “We were constantly adding SKU’s but our products were not being discovered and user experience was suffering because the shopping experience was limited to Meijer’s internal search filtering, navigation, and our interpretation of search intent. Since integrating with BloomReach, Meijer has seen a 60% increase in non-branded traffic.”

To read the complete Forrester Total Economic Impact study, click here.

BloomReach, and guests from both Meijer and Forrester, will be discussing the Total Economic Impact of BloomSearch during an Internet Retailer webinar at 10 AM PST on March 6th. To register free of charge, please click here.

About BloomReach
BloomReach’s big data marketing applications drive new revenue by consuming web wide and website data to interpret consumer demand and deliver more relevant user experiences on any marketing channel. BloomReach’s two unique big data marketing applications – BloomSearch for natural search customer acquisition and BloomLift to increase advertising ROI – are built on BloomReach’s signature technology, the Web Relevance Engine (WRE). The BloomReach WRE analyzes consumer interactions across billions of pages, leverages the web’s collective intelligence, and incorporates machine learning to predict demand and deliver relevant content such as enhanced landing pages, intuitive alternative navigation or social trends.

BloomReach is headquartered in Mountain View, CA and is backed by investment firms Bain Capital Ventures, NEA, and Lightspeed Ventures. For more information, please visit www.bloomreach.com.

BloomReach Named as a Red Herring Top 100 Global Award Winner

Red Herring lists BloomReach as a Top 100 Global award winner months after naming the company a 2012 Red Herring Top 100 North America Startup

Mountain View, Calif. – January 29, 2013 – BloomReach, creators of big data marketing applications, today announced it has been selected as a 2012 Red Herring Top 100 Global award winner. The Red Herring Top 100 Global award recognizes the leading private companies from North America, Europe, and Asia, celebrating these startups’ innovations and technologies across their respective industries.

Red Herring’s Top 100 Global list has become a mark of distinction for identifying promising new companies and entrepreneurs. Red Herring editors were among the first to recognize that companies such as Facebook, Twitter, Google, Yahoo, Skype, Salesforce.com, YouTube, and eBay would change the way we live and work.

“It’s a mark of distinction to be recognized as a Red Herring Top 100 Global award winner, and to be identified as one of the most innovative startups on the globe,” said Raj De Datta, CEO and co-founder of BloomReach. “We officially launched in Silicon Valley in February 2012, after spending three years in stealth mode, with some of the brightest minds from companies like Google, Cisco and Facebook. It was a huge honor to be recognized as a 2012 Red Herring Top 100 North America Startup three months after launching, and now we’re thrilled to be internationally recognized.”

“Choosing the companies with the strongest potential was by no means a small feat,” said Alex Vieux, publisher and CEO of Red Herring. “After rigorous contemplation and discussion, we narrowed our list down from hundreds of candidates from across Global to the Top 100 Winners. We believe BloomReach embodies the vision, drive and innovation that define a successful entrepreneurial venture. BloomReach should be proud of its accomplishment, as the competition was the strongest it has ever been.”

Red Herring’s editorial staff evaluated the companies on both quantitative and qualitative criteria, such as financial performance, technology innovation, management quality, strategy, and market penetration. This assessment of potential is complemented by a review of the track record and standing of startups relative to their peers, allowing Red Herring to see past the “buzz” and make the list a valuable instrument of discovery and advocacy for the most promising new business models from around the world.

About BloomReach

BloomReach’s big data marketing applications drive revenue by consuming web wide and site data to interpret consumer demand and deliver relevant user experiences on any marketing channel. BloomReach’s two unique big data marketing applications – BloomSearch for natural search customer acquisition and BloomLift to increase advertising ROI – are built on BloomReach’s signature technology, the Web Relevance Engine (WRE). The WRE analyzes consumer interactions across billions of pages, leverages the web’s collective intelligence, and incorporates machine learning to predict demand and deliver relevant content such as enhanced landing pages, intuitive alternative navigation, or social trends.

BloomReach is headquartered in Mountain View, CA and is backed by investment firms Bain Capital Ventures, NEA, and Lightspeed Ventures. For more information, please visit bloomreach.com.

Digital Marketing Sales Executive Joins BloomReach

Proven Sales Leader hired to lead and scale sales for rapid growth

MOUNTAIN VIEW, CALIF. – December 4, 2012 – BloomReach, creators of big data marketing applications, today announced the appointment of Darren Johnson as head of sales. The enhanced focus on sales comes on the heels of BloomReach’s recent $25 million series C funding announcement. Johnson comes to BloomReach with more than 15 years of digital marketing and e-commerce sales-leadership experience with a history of delivering exceptional growth. Reporting directly to CEO and co-founder Raj De Datta, Johnson will oversee BloomReach’s sales operations, leading the sales team and supporting the company’s overall expansion strategy.

“We are excited to have Darren join BloomReach’s strong leadership team as we accelerate our rapid growth,” said Raj De Datta, CEO and co-founder of BloomReach. “His wealth of experience in the industry and proven track record in sales management and strategic sales leadership will play a key role in the company’s continued success and expansion.”

Prior to joining the team at BloomReach, Johnson was vice president of sales at Adobe where he ran the digital marketing enterprise sales team specializing in conversion optimization and visitor acquisition. At Adobe, Johnson grew the business from an early stage to more than $150 million in annual revenue. Before his tenure at Adobe, Johnson ran sales and services for Offermatica, which was acquired by Omniture in September 2007. Johnson was also the vice president of sales at ATG and Verity.

Since emerging from stealth mode in February 2012, BloomReach has tripled its sales revenue, employees, and customers. Its current customers include many major brands like Neiman Marcus, Pottery Barn, and Guess and three of Internet Retailers’ list of top 10 companies.

“BloomReach delivers on the promise of digital marketing to get the most relevant marketing message discovered and engaged by the broadest, interested audience,” said Johnson. “I am ready to work with such an accomplished executive team and look forward to driving BloomReach’s growth.”

About BloomReach
BloomReach’s big data marketing applications maximize revenues – attracting unmet demand and creating better user experiences by making the most relevant products and services easier to find.

BloomReach’s signature technology, the Web Relevance Engine (WRE), analyzes consumer interactions across the web and semantically interprets content on more than one billion web pages daily. The cloud applications powered by the WRE dynamically adapt websites to capture existing consumer demand across search, social and advertising channels, driving relevance and significant incremental revenues across large customer base from the retail, travel, education, financial, and listings industries.

The BloomReach team is comprised of leaders in machine learning, large-scale systems science, big data and search from companies like Google, Cisco and Facebook; and is dedicated to delivering relevant results to customers across channels in a myriad of industries. BloomReach is headquartered in Mountain View, Calif., and is backed by investment firms Bain Capital Ventures, NEA, and Lightspeed Ventures. For more information, please visit www.bloomreach.com.

BloomReach Raises $25 Million: Series C Led By New Enterprise Associates (NEA

NEA views big data applications as the next big market in Software as a Service

MOUNTAIN VIEW, CALIF. – October 18, 2012 – BloomReach, creators of big data marketing applications, today announced $25 million in Series C funding, led by New Enterprise Associates (NEA). Existing investors, including Lightspeed Venture Partners and Bain Capital Ventures, also participated in the third round, bringing BloomReach’s total funding to $41 million to date. BloomReach plans to double its investment in sales and marketing and triple its R&D investment to create big data applications beyond search for every online marketing channel including mobile, social and video.

“By empowering companies to channel the morass of Internet data into sales conversions and revenue growth, big data applications are the natural evolution of the Software as a Service (SaaS) model,” said NEA general partner Scott Sandell. “The next wave of SaaS leaders will combine the delivery-model benefits of cloud with web-scale data and machine-learning technologies. NEA’s investment in BloomReach builds on our long history of partnering with disruptive SaaS companies like Salesforce.com, WebEx and Workday. In harnessing the potential of big data to revolutionize SaaS, BloomReach is an example of what’s possible.”

“We’re betting that the fastest-growing BDAs will focus on the frontline of business to increase revenues and market share for companies. Many CMO’s annual budgets are larger than an enterprise IT organization’s budget today, so we’re following the money and betting on BloomReach.” said Sandell.

BloomReach’s big data applications connect marketers and consumers by interpreting web content and predicting online demand, and then they automatically adapt web pages to present the content that makes the page most relevant to the broadest range of demand for products or services. BloomReach represents a fundamental shift in how marketers attract and acquire customers: using big data, natural language processing and machine learning.

“BloomReach provides marketers with the power, scope and action on data insights from the entire Internet without requiring manual intervention,” said Target.com veteran and Managing Partner Ovative/group Dale Nitschke. “With BloomReach, marketers can focus their resources on content development and creative strategy, letting machines maximize the reach and impact of their businesses’ content. It has created a compounding effect for big brands’ online marketing effectiveness over time for companies such as Bellacor and Pottery Barn.”

On average, BloomReach generates a 92 percent lift year on year in non-branded, natural search traffic and improves paid search profitability by up to 50 percent by making the user experience as relevant as possible to consumers’ intent.

“The future belongs to marketers that extract the maximum impact from the content they continuously create. BloomReach delivers the most relevant content at the right moment and drives brand awareness. It adjusts and learns as the Internet grows and consumer demand shifts.” said Raj De Datta, CEO and co-founder of BloomReach. “BloomReach’s power and magic lies in the creation of a compound marketing effect. Just like money in a compound-interest account, the longer BloomReach is operating in a business, the better we perform to achieve superior user experiences and meet business objectives.”

BloomReach has experienced rapid success since emerging from stealth mode in February 2012. From 2011 to 2012, every metric at BloomReach tripled: revenue increases, team and customer base growth and the number of pages BloomReached. In a short time frame, BloomReach has built a premier roster of customers, including Neiman Marcus, Williams-Sonoma and Bellacor. Its current user base spans retail, travel and real estate and includes three of Internet Retailers’ list of top 10 companies.

“Since implementing BloomSearch in 2009, Bellacor created a more relevant user experience that drove more than 200 percent growth in natural search traffic,” said Chris Fowler, director of marketing for Bellacor. “The big problems that BloomReach solves are very complex and require specialized knowledge, sophistication and scalable technology. We plan to boost our success with more big data applications from BloomReach.”

BloomReach has been awarded multiple industry honors, including being selected a 2012 “Red Herring top 100 North America start-up” and it earned a silver Stevie award in the new product or service of the year in the software cloud platform category.

About BloomReach
BloomReach’s big data marketing applications maximize revenues – attracting unmet demand and creating better user experiences by making the most relevant products and services easier to find.

BloomReach’s signature technology, the Web Relevance Engine (WRE), analyzes consumer interactions across the web and semantically interprets content on more than one billion web pages daily. The cloud applications powered by the WRE dynamically adapt websites to capture existing consumer demand across search, social and advertising channels – driving relevance and significant incremental revenues across a large customer base including the retail, travel, education, financial and listings industries.

The BloomReach team, comprised of leaders in machine learning, large-scale systems science, big data and search from companies like Google, Cisco and Facebook; is dedicated to delivering relevant results to customers across channels in a myriad of industries. BloomReach is headquartered in Mountain View, CA and is backed by investment firms New Enterprise Associates, Bain Capital Ventures and Lightspeed Ventures. For more information, please visit http://www.bloomreach.com/.

BloomReach Reduces Duplicate Web Pages with Release of Industry’s First Algorithmic De-Duplication Technology

New Dynamic Duplication Reduction technology improves page relevance to drive discoverability, increase revenues and improve the user experience

MOUNTAIN VIEW, CALIF. – October 2, 2012 – BloomReach, the Big Data Marketing Applications company, today announced the industry’s first algorithmic de-duplication technology, called BloomReach Dynamic Duplication Reduction (DDR). BloomReach DDR detects and massively reduces duplicate pages on client websites without manual intervention – freeing up business resources to focus on content development and other strategic activities. The new technology is part of the BloomReach Web Relevance Engine through the BloomSearch Big Data Marketing Application. BloomReach DDR automatically prunes out 95 percent or more of pages with duplicate content but different URLs, increasing the signal-to-noise ratio and ensuring that the most relevant pages get found.

Duplicated content on large and medium websites is a common problem that attributes to lost revenue. Many versions of the same page can end up in a search-engine index for numerous reasons such as extra parameters for analytics and multiple paths from filtering – useful for marketing analytics but not for discovery. This poses a major challenge for natural search indexing and retrieval because it wastes valuable “crawl budget” on pages that will be filtered out, reducing the indexing depth of your site and because pointing to duplicate pages squanders the benefit of links that if consolidated will make the primary page more discoverable.

“Duplicate content is one of the most common problems on the web, and is often very difficult for publishers to address for a variety of technical and marketing reasons. DDR provides these publishers a way to solve this huge problem that they may otherwise be forced to live with.” Eric Enge, co-author, The Art of SEO.

SEO professionals use rel-canonical tags to direct crawlers to the primary version of a page, but for some web businesses, it is challenging to implement and maintain rel-canonicals. BloomReach DDR finds and addresses duplicate content without rel-canonicals and can provide SEO professionals with the data to implement those tags if desired.

“Duplicated content on websites is a significant contributor to lost revenue because duplicate pages are not meant to be indexed and are often blocked by indexing technology – so the primary version is effectively invisible. BloomReach addresses duplication algorithmically, which is scalable to the largest websites. BloomReach DDR identifies and addresses duplication without taking up valuable staff resources with tedious manual work,” said Dr. Ashutosh Garg, CTO and co-founder of BloomReach. “With DDR, BloomSearch further ensures that the most relevant and highest quality web content gets found – only unique pages are indexed.”

BloomReach uses deep crawl and semantic interpretation technologies to continuously review all content on a site and automatically discover and act on duplicate pages. Upon discovery, BloomReach ensures that all BloomSearch-generated links within widgets and thematic pages across the site only point to the primary version. Finally, the primary page is the one crawled, indexed and discovered while the duplicates are essentially invisible to crawlers, but still useful for web analytics.

BloomReach DDR reduces index spam, concentrates natural search traffic on the most relevant pages and maximizes coverage from the crawl quota. It also lets client SEO resources spend more time creating compelling pages, writing new content, ensuring that tags are descriptive and accurate – and, when desired, adding rel-canonical tags.

This new DDR technology is now available to existing BloomSearch customers of the Web Relevance Engine at no additional cost. Incremental traffic to the primary page is paid for on the same cost-per-click model as with all BloomSearch traffic.

About BloomReach
BloomReach’s Big Data Marketing Applications maximize our customers’ revenues – attracting unmet demand and creating better user experiences by making the most relevant products and services easier to find.

BloomReach created the Web Relevance Engine (WRE), which collects and semantically interprets billions of consumer interactions, pages and daily. The cloud applications powered by the WRE dynamically adapt websites to capture existing consumer demand across search, social and advertising channels, driving an average of 94 percent increase in non-branded natural search traffic and significant incremental revenues across its large customer base from the retail, travel and listings industries.

The BloomReach team, comprised of accomplished leaders in machine learning, large-scale systems science, big data and search from companies like Google, Cisco and Facebook; is dedicated to delivering relevant results to customers across channels in a myriad of industries. BloomReach is headquartered in Mountain View, California and is backed by investment firms Bain Capital Ventures and Lightspeed Ventures. For more information, please visit http://www.bloomreach.com/.

Neiman Marcus, ModCloth, and Guess? Attracting New Customers and Sales with BloomReach Big Data Marketing Applications

Big Data Applications Company Ensures Content on Landing Pages is In-Stock with Current Pricing

MOUNTAIN VIEW, CALIF. – June 26, 2012– BloomReach, creators of Big Data marketing applications, today announced multiple well-known fashion retailers as successful customers. Neiman Marcus, ModCloth, and Guess?, Inc. are successfully attracting new customers and growing revenues using BloomSearch, its natural search application. Each BloomReach fashion retailer has experienced measurable return on investment in natural search along with increased revenue, often within weeks of implementation.

With an unlimited number of ways to describe apparel, handbags, watches, footwear, and other fashion products, it is impossible for marketing teams to manually keep up with all of the ways in which consumers search. Neiman Marcus, ModCloth, and Guess?, Inc, leverage BloomSearch, the Big Data marketing application that interprets websites, product data, and images through a machine learning language model that algorithmically identifies and captures additional demand for their products. These fashion retailers are making their products more discoverable by immersing customers in a relevant brand experience, while generating quality traffic and improved conversion rates.

“BloomReach supports the Neiman Marcus brand by making user discovery of our products intuitive, frictionless and satisfying, just like our associates do in the store,” said Aaron Shockey, vice president of marketing at Neiman Marcus Direct. “BloomReach introduces new consumers to Neiman Marcus and improves the overall quality of the customer shopping experience, maximizing demand captured for the products we sell before they are out of style.”

The BloomReach Web Relevance Engine (WRE) powering BloomSearch offers fashion retailers a technology-driven approach to getting more products found, keeping pages fresh, and making a website’s invisible, hard-to-find content visible to search channels. BloomSearch interprets product variations and attributes while monitoring consumer behavior, then adapts the website in real time to changes in consumer behavior, language, site content, and competitive content – using existing site content to maximize the relevance of every page. BloomSearch anticipates what online shoppers want, and presents it on fashion retailer’s sites when consumers click.

“With product offerings often in the tens of thousands, it’s impossible for fashion retailers to manually scale to capture the huge long-tail of the consumer market,” explained Raj De Datta, CEO and co-founder at BloomReach. “BloomSearch analyzes website content, queries and consumer behavior in real-time to deliver the relevant results consumers want. With BloomSearch, fashion retailers present the right in-stock products to the right buyers, resulting in an increase in sales and revenue and an instantly gratifying search experience for consumers.”

“ModCloth’s crowd-sourcing model means our inventory is constantly growing and changing “said Hema Padhu, vice president of marketing at ModCloth.“BloomReach offers an algorithmic way of helping our customers to find our products that match their long-tail keyword searches.”

Relevant Links

BloomReach Additional Information:
Guess?, Inc .Case Study
ModCloth Case Study
BloomReach Web Relevance Engine

About BloomReach

BloomReach’s Big Data Marketing Applications maximize our customers’ revenues – attracting unmet demand and creating better user experiences by making the most relevant products and services easier to find.

BloomReach created the Web Relevance Engine (WRE), which analyzes one billion consumer interactions and semantically interprets the products and services on over one billion web pages daily.  The cloud applications powered by the WRE dynamically adapt websites to capture existing consumer demand across search, social and advertising channels, driving an average 80% increase in non-branded natural search traffic and significant incremental revenues across their large customer base from the retail, travel and listings industries.

The BloomReach team, comprised of leaders in machine learning, large scale systems science, big data and search from companies like Google, Cisco and Facebook; is dedicated to delivering relevant results to customers across channels in a myriad of industries.  BloomReach is headquartered in Mountain View, CA and is backed by investment firms Bain Capital Ventures and Lightspeed Ventures. For more information, please visit http://www.bloomreach.com/.

BloomReach Keeps Landing Pages Fresh with Real-Time Freshness Service

Big Data Applications Company Ensures Content on Landing Pages is In-Stock with Current Pricing

MOUNTAIN VIEW, CALIF. – June 6, 2012– BloomReach, creators of Big Data marketing applications, today unveiled the real-time freshness service, a new technology inside its Web Relevance Engine that delivers real-time, relevant content, and ensures that a consumer’s natural and paid search landing pages have the most up-to-date information. The real-time freshness service ensures that the products on thematic pages are in-stock and that the prices are current, maintaining virtually real-time response rates to clients by comparing content to integrated product feeds. Marketers can ultimately use the real-time freshness service to insert relevant content and messaging throughout their site.

Relevance is the most important factor in consumer satisfaction when it comes to the online shopping experience. However, consumers are often fed outdated products and prices, because companies cannot adapt landing pages and category pages to all the changes in products, consumer intent and prices that happen all the time. The ripple effect of dissatisfied users can result in a significant loss of potential revenue for a brand’s ecommerce channel as well as overall loss in confidence for that brand. The real-time freshness service allows online brands to maintain quality, static and crawlable high-quality pages while improving the consumer buying experience. BloomReach is able to do this by harnessing the power of its Big Data application, which is capable of updating data across hundreds of customers and millions of products in milliseconds. Real-time freshness reduces the possibility of inaccurate product information being displayed and frustrating the potential buyer.

There is so much information flooding the Internet, IBM estimates that 90 percent of Web content was created in the last two years alone. Businesses always need a way to make sure their information is relevant, up to date, and useful for their consumers; and today BloomReach is taking another step, ensuring that Web content is as fresh as possible. The BloomReach Web Relevance Engine allows companies to capture Web-wide demand and present their most relevant products in real-time, without exhausting resources and compromising on quality in other areas.

“Consumer experience is the core of any brand’s success and the BloomReach product development process,” said Ashutosh Garg, co-founder and CTO of BloomReach. “Delivering a satisfied, quality experience is ultimately what drives a brand’s ability to secure new consumers and generate loyalty with their products and services. The last thing any company wants to do is frustrate the consumer out of stock items or outdated pricing, so the real-time freshness service allows our customers to optimize their customers’ experience, by presenting only currently stocked and accurately priced items to help them more easily convert browsers into buyers.”

The real-time freshness service is an industry-first Big Data solution that reviews all the content being delivered to landing and thematic pages and compares content to updated information in real-time, allowing the most accurate content to appear in BloomReach widgets on customers’ web pages. The real-time technology works within the BloomReach Web Relevance Engine (WRE) at the core of their Big Data Applications, which crawls and continuously analyzes over one billion consumer interactions and one billion Web pages daily to deliver relevant products and services on any consumer platform and Web site. Now, a brand’s product and pricing information will not only be as relevant as possible, but as up-to-date as well.

As a new core component of the WRE, the real-time freshness service creates a more relevant user experience and maximizes traffic, customer loyalty and profitability for more than 80 BloomReach customers. Customers like Williams-Sonoma, Orbitz and Drugstore.com use BloomReach’s Big Data marketing applications, which include BloomSearch and BloomLift to increase discoverability without compromising on experience.

About BloomReach
BloomReach’s marketing Big Data applications maximize our customers’ revenues — attracting unmet demand and creating better user experiences by making the most relevant products and services easier to find.

BloomReach created the Web Relevance Engine (WRE), which analyzes one billion consumer interactions and semantically interprets the products and services on over one billion web pages daily. The WRE dynamically adapts websites to capture existing consumer demand across search, social and advertising channels, driving an average 80% increase in non-branded natural search traffic and significant incremental revenues across their large customer base from the retail, travel and listings industries.

BloomReach is headquartered in Mountain View, CA and is backed by investment firms Bain Capital Ventures and Lightspeed Ventures. For more information, please visit http://www.bloomreach.com/.

Red Herring Names BloomReach Winner of 2012 Top 100 Tech Start-Ups in North America Award

Creators of Big Data Cloud Marketing Platform Honored for Excellence in Technology, Growth Strategy and Business Achievements

MOUNTAIN VIEW, CALIF. – May 25, 2012– BloomReach, creators of the Big Data marketing application, today announced it has been selected as a 2012 Red Herring Top 100 North America Start-Up from over 2000 applicants. The prestigious award recognizes the most promising privately-held companies in North America, celebrating their achievements in innovations and technologies across their respective industries.

Red Herring’s Top 100 North America list has become a mark of distinction for identifying promising new companies and entrepreneurs. Red Herring editors were among the first to recognize that companies such as Facebook, Twitter, Google, Yahoo, Skype, Salesforce.com, YouTube, and eBay would change the way we live and work.

“We are honored to receive the Red Herring 100 North America award for our commitment to technology innovation in the Big Data Applications space, and for being an integral part of our customers’ success in online commerce,” said Raj De Datta, co-founder and CEO of BloomReach. “BloomReach has experienced tremendous growth and continued momentum since our official launch in February, and we’re very excited to leverage our unique combination of previous experience and forward thinking in Big Data technology to develop new products so our customers’ content gets found by more consumers.”

“Choosing the companies with the strongest potential was by no means a small feat,” said Alex Vieux, publisher and CEO of Red Herring. “After rigorous contemplation and discussion, we narrowed our list down from hundreds of candidates from across North America to the Top 100 Winners. We believe BloomReach embodies the vision, drive and innovation that define a successful entrepreneurial venture. BloomReach should be proud of its accomplishment, as the competition was very strong.”

Red Herring’s editorial staff evaluated the companies on both quantitative and qualitative criteria, such as financial performance, technology innovation, management quality, strategy, and market penetration. This assessment of potential is complemented by a review of the track record and standing of start-ups relative to their sector peers, allowing Red Herring to see past the “buzz” and make the list a valuable instrument of discovery and advocacy for the most promising new business models in North America.

About BloomReach
BloomReach’s marketing Big Data applications maximize our customers’ revenues — attracting unmet demand and creating better user experiences by making the most relevant products and services easier to find.

BloomReach created the Web Relevance Engine (WRE), which analyzes one billion consumer interactions and semantically interprets the products and services on over one billion web pages daily. The WRE dynamically adapts websites to capture existing consumer demand across search, social and advertising channels, driving an average 80% increase in non-branded natural search traffic and significant incremental revenues across their large customer base from the retail, travel and listings industries.

BloomReach is headquartered in Mountain View, CA and is backed by investment firms Bain Capital Ventures and Lightspeed Ventures. For more information, please visit http://www.bloomreach.com/.

BloomReach Leverages Silicon Valley Success and Recruits Elite Engineering Team to Develop New Products on the Web Relevance Engine

Former Google Engineering Leader to Head New BloomReach Research & Development Center in India

MOUNTAIN VIEW, CALIF. – April 24, 2012 – BloomReach, creators of the Big Data cloud marketing platform, today announced its expansion into India with the official launch of a research and development center in Bangalore, India. Building on BloomReach’s success to-date, the new R&D center is led by a search engineering leader in India, Vinodh Kumar, who formerly served as the technical leader of a number of products at Google, including Google News, Google Apps Marketplace and Google India Music Search.

As the Director of Engineering and Head of BloomReach India, Vinodh Kumar has recruited top engineering talent from Google and Bell Labs to building additional premium products for BloomReach that will enrich the consumer online experience by making products and services, lost in the deep Web, more visible. Vinodh’s technical expertise and proven leadership will play a critical role in continuing BloomReach’s technology leadership in the big data and interactive marketing space.

“We’re pleased to announce the global expansion of our company,” said Ashutosh Garg, CTO and co-founder of BloomReach. “We started in Silicon Valley with a small team of amazing engineers and product executives, and some of the brightest minds in machine learning, large scale systems science and search from companies like Google, Cisco and Facebook. Our presence in India will serve as a second heartbeat for our research and development efforts.”

“India-based operations are often outsourcing and support centers, but BloomReach’s expansion into the region is wholly focused on developing the complex solutions that help close the gap between web businesses and consumers on the web,” said Vinodh Kumar, Director of Engineering and Head of BloomReach India. “Great products are the heart of the company’s success and I look forward to leading the Bangalore office with a laser focus on developing new products for the relevant web.”

The BloomReach cloud marketing platform offers a suite of products, including BloomSearch, BloomLift and BloomSocial, built upon a Web Relevance Engine (WRE) that continuously analyzes over one billion consumer interactions and one billion web pages daily to surface relevant products and services on any consumer platform and web site. The Web Relevance Engine creates a more relevant user experience and drives increases in traffic, customer loyalty and online revenues for more than 70 successful BloomReach customers.

About BloomReach

BloomReach’s cloud marketing platform maximizes our customers’ revenues – attracting unmet demand and creating better user experiences by making the most relevant products and services easier to find.

BloomReach created the Web Relevance Engine (WRE), which analyzes one billion consumer interactions and semantically interprets the products and services on over one billion web pages daily.  The WRE dynamically adapts websites to capture existing consumer demand across search, social and advertising channels, driving an average 80% increase in non-branded natural search traffic and significant incremental revenues across their large customer base from the retail, travel and listings industries.

BloomReach is headquartered in Mountain View, CA, with an office in Bangalore, India, and is backed by investment firms Bain Capital Ventures and Lightspeed Ventures. For more information, please visit http://www.bloomreach.com/.

BloomReach Named One of the Best Places to Work in the Bay Area

The San Francisco Business Times and the Silicon Valley/San Jose Business Journal Honor Big Data Company for Its Workplace Excellence

Mountain View, CALIF. – April 20, 2012 – BloomReach, creators of the Big Data cloud marketing platform, today announced that it has been named one of the San Francisco Bay Area’s “Best Places to Work” by the San Francisco Business Times and San Jose/Silicon Valley Business Journal. The award ranks companies based on employee survey responses to determine the best places to work in the Bay Area based on environment, practices, goals and values.

Founded in 2009, BloomReach is led by Raj De Datta, CEO and co-founder, and Ashutosh Garg, CTO and co-founder, who built a team comprised of some of the brightest minds in Big Data, machine learning, large scale systems science and search from companies like Google, Cisco and Facebook. BloomReach’s ability to compete with larger, Fortune 100 companies in employee benefits, work-life balance, workplace culture and career opportunities continues to attract the industry’s best talent. Its team of 70 employees has grown ten-fold in the past 14 months alone and the company is projected to double in size by the end of year.

The San Francisco Business Times and Silicon Valley/San Jose Business Journal conducted an independent, third-party survey, of employees from more than 300 Bay Area companies in order to rank BloomReach in the #8 slot. Employees were asked to rate their company based on team effectiveness, alignment of goals, trust in coworkers, trust in senior leaders, feeling valued, work engagement, and people practices.  Company rankings were announced at the 2012 Best Places to Work in the Bay Area Awards reception, held on Thursday April 19, at the Hilton San Francisco Union Square.

“Today’s recognition by San Francisco Business Times/Silicon Valley Business Journal reaffirms that our focus on creating a thriving workplace benefits both the business and an employee’s personal career path,” said Raj De Datta, CEO and co-founder of BloomReach. “This focus has resulted in a group of motivated, hard-working people whose dedication to innovate solutions for our customers has propelled BloomReach into one of the most forward-thinking Big Data companies in the industry.”

Offering the first Web Relevance Engine, BloomReach is a high-tech company that bridges the digital discovery divide by closing the gap between what companies have to offer, and what consumers find online. BloomReach hosts a suite of products including BloomSearch, a natural search discoverability product; BloomLift, a product that creates dynamic landing pages based on search analysis; andBloomSocial, which analyzes consumer behavior and social interactions in order to algorithmically create experience pages using relevant products and services. These products, and the BloomReach team help companies such as Williams-Sonoma, Orbitz and Guess? make their content significantly more discoverable on the Web.

Related Links

About BloomReach

BloomReach’s cloud marketing platform maximizes our customers’ revenues – attracting unmet demand and creating better user experiences by making the most relevant products and services easier to find.

BloomReach created the Web Relevance Engine (WRE), which analyzes one billion consumer interactions and semantically interprets the products and services on over one billion Web pages daily.  The WRE dynamically adapts websites to capture existing consumer demand across search, social and advertising channels, driving an average 80% increase in non-branded natural search traffic and significant incremental revenues across their large customer base from the retail, travel and listings industries.

BloomReach is headquartered in Mountain View, CA and is backed by investment firms Bain Capital Ventures and Lightspeed Ventures. For more information, please visit http://www.bloomreach.com/