SOURCE: BloomReach

BloomReach

June 26, 2012 08:00 ET

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

Immersive and Relevant Customer Experiences Expand Demand for Leading Online Retailers

MOUNTAIN VIEW, CA--(Marketwire - Jun 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 retailers' 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: http://www.bloomreach.com/buzz/white-papers/ 
Guess?, Inc. Case Study: http://go.bloomreach.com/rs/bloomreach/images/CS_Guess%202-12.pdf
ModCloth Case Study: http://go.bloomreach.com/rs/bloomreach/images/CS_ModCloth_6-12.pdf
BloomReach Web Relevance Engine: http://www.bloomreach.com/what-we-do/inside-the-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/.

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