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BloomReach Introduces Suite of Services From Their Multi-Channel Cloud Marketing Platform to Drive Intelligent Discoverability for Web BusinessesBig Data Solutions Drive Up to 80% More Natural Traffic to Web Businesses, Increase Profitability on Ad Campaigns Up to 50% and Drive Engagement With Social Experiences (February 22, 2012)
MOUNTAIN VIEW, CA -- (Marketwire) -- 02/22/12 -- BloomReach, creators of the Big Data cloud marketing platform, today launched BloomSearch, BloomLift and BloomSocial services to get Web-based content found and drive incremental revenue for web businesses. These web services grow multi-channel profitability and scale in an automated, intelligently structured fashion.
"Over 90% of the Web's content was created within the last two years, making it increasingly difficult for Web business to connect relevant products and services to interested consumers," said Raj De Datta, CEO and Co-Founder of BloomReach. "Businesses need a big data technology that captures consumer demand and gets relevant products and services found through any channel."
At the core of the BloomReach cloud marketing platform is BloomReach's Web Relevance Engine (WRE), that interprets site content and anonymous user behavior in real time through a web-scale, machine learning language system, identifying and presenting the most relevant products and services to consumers and platforms.
The market's first real-time, algorithmic natural search discoverability product that:
- Interprets a website to identify the most relevant content and map it to unmet demand
- Adapts a customer's site to reveal the right products and services for a more relevant onsite experience, reacting in real-time to changes in inventory and consumer intent
- Addresses structural limitations of websites by placing select reviews and descriptions onto targeted pages and creating a limited number of highly relevant category pages
In two years of customer success, BloomSearch has delivered an average annual lift of over 80% more high-quality, unbranded natural search traffic with comparable conversion rates to current, non-branded search site traffic.
"Williams-Sonoma, Inc., is continually looking for ways to improve its natural search performance and BloomReach has been a valuable partner in achieving this goal," said Patrick Connolly, EVP and Chief Marketing Officer for the Williams-Sonoma, Inc. portfolio of brands. "Since working with BloomReach, we've been better able to determine the products that consumers intend to find, which improves our relevance to that customer and ultimately their online shopping experience so they remain satisfied with our brands."
BloomLift improves online advertising by creating dynamic landing pages that reflect the most personalized information for consumers, based on available site content. Today, BloomLift focuses on paid search by using the catalogues of Web businesses to create relevant landing pages that maximize click-to-revenue conversion.
- Routes a consumer to the most relevant page, generated using items that best match the query
- Dynamically adapts landing pages based on observed and learned behaviors and known user history
- Identifies search terms that advertisers should be bidding for, but are not
The new paid search solution improves paid search profitability by more than 50%.
"Our goal is to deliver high value, high intent inquiries for our clients. BloomLift orients the user with personalized content based on their expressed interests. This approach encourages conversions while being transparent about our offer," said Chris Amos, Co-Founder and COO of Ampush Media.
BloomSocial analyzes consumer behavior, social interactions and web content to algorithmically create experience pages using relevant products and services. For example, people may search for attire for "interview" or "date night" experiences. These experience pages are derived from semantic understanding of the consumer clickstream as well as their behavioral and social graphs. The result is a more relevant user experience, and increased engagement, traffic and revenue from social sources.
- Dynamically creates experience pages
- Adds social capabilities such as "follow," "share" and "personalize" these experiences
- Communicates with followers and sharers about changes in the experience including promotions, new products and comments
"Beau-coup sells products that remind consumers of life's great experiences. It is very natural to show our customers the most relevant experiences associated with the product they are exploring. We are excited to test BloomSocial and offer our consumers persistent discovery of products they can share and follow as they plan the celebrations of their life." Tom Cole, CEO of Beau-coup, Inc.
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.
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