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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 /PRNewswire/ -- 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.

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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.

SOURCE BloomReach

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