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BloomReach Keeps Landing Pages Fresh With Real-Time Freshness ServiceBig Data Applications Company Ensures Content on Landing Pages Is In-Stock With Current Pricing (June 06, 2012)
MOUNTAIN VIEW, CA -- (Marketwire) -- 06/06/12 -- 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 However, consumers are often fed outdated products and prices, because companies cannot adapt landing pages and category pages to all the changes in products, consumer intent and prices that happen all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.
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.
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