Compare Metrics Grows Exponentially as Leading Retailers Embrace the Future of Humanized Merchandising
Austin, Texas – September 24, 2013 – Compare Metrics, the leading provider of Adaptive Commerce navigation and discovery tools, today announced that its merchandising and Content Curation team has tripled in size to support new client growth. Since receiving $4.2 million in series A funding in May 2013, the company has grown its client base by 200 percent.
Compare Metrics’ Adaptive Commerce solution offers a more “humanized” approach to product search and discovery when engaging shoppers online. Consumers can use their own natural language to express personal preferences and style rather than terminology driven by standardized merchandising keywords. These efforts result in improved relevancy and efficiency in demand generation and a more tailored marketing strategy for a wide array of retailers.
“The beauty of what Compare Metrics is doing is not just in increasing the amount of product discovery criteria, but in creating a more natural product vocabulary for shoppers to use in their discovery process,” said Brett Hurt, vice chairman and co-founder, Bazaarvoice. “Letting online shoppers think and decide more like they do in the real world is going to be mandatory for retailers who want to compete and win.”
Compare Metrics’ growth has been fueled by retail merchandisers seeking new ways to quickly expand and optimize their product discovery criteria. The Compare Metrics Content Curation Team brings to the table proven methodologies and first-to-market curation technology to extend the value of retailers’ merchandising efforts, expand their product discovery criteria, and then provide fast feedback on the strategies that provide the desired search and discovery results.
For current clients, this process results in a three to four times increase in new possible product attributes for discovery, expanding the ability of consumers to find exactly what they are looking for online.
Compare Metrics’ Five-Step Process of Content Curation
- Mine the retailer’s website and proprietary content (such as user guides, customer ratings and reviews) for product discovery criteria that may be buried and not usable for product discovery and navigation.
- Mine the deeper web (i.e. Pinterest) for new criteria that reflect how shoppers think about a product.
- Adapt and translate criteria into shopper jargon, reflecting the changing ways shoppers think about products.
- Tag new criteria to products using proprietary Quick Tagging technology.
- Conduct evergreen curation, using real-time intelligence to identify optimization opportunities.
“The reality today is that Merchant teams are feverishly trying to promote large product catalogs with limited resources. They’re looking for ways to not only make their products more findable and relevant to a growing and diverse shopper base, but also ways to differentiate their brand,” said Garrett Eastham, Compare Metrics’ CEO. “As proven by our growth, retailers are excited about the value we can provide in expanding their merchandising prowess and fostering a more personalized discovery experience on their website.”
Compare Metrics will be at Shop.org’s 2013 Annual Summit in Chicago, September 30- October 2, Booth #1335. Please contact email@example.com to meet with Garrett Eastham, CEO, or to see a product demonstration of Compare Metrics’ Adaptive Commerce solution.
About Compare Metrics
Compare Metrics’ Adaptive Commerce solution offers a more “humanized” approach to online product discovery, allowing consumers to use their own natural language to express personal preferences and style, rather than terminology driven by standardized merchandising categories and keywords. Adaptive Commerce solutions from Compare Metrics understand and react to what consumers want, resulting in increased shopper engagement and conversion, as well as improved relevancy and efficiency in demand generation and marketing strategies. The company is led by a team that combines extensive experience in retail technology with disruptive innovations that push the boundaries of machine learning and natural language processing. For more information, visit edgecase.io.
Ketner Group (for Compare Metrics)