Evergage Recommend Adds New Recommendation Capabilities into Industry's Most Complete Personalization Platform

Solution Enables Marketers to Test and Deploy Individualized, Maximally Relevant Product and Content Recommendations Based on Customer-Defined Strategies That Combine Traditional Aggregate Visitor Data with Deep Behavioral Tracking

Aug 11, 2015, 08:00 ET from Evergage

SOMERVILLE, Mass., Aug. 11, 2015 /PRNewswire/ -- Evergage, the leading provider of real-time personalization, today unveiled Evergage Recommend, the first integrated recommendation system that is a native part of a full testing, targeting and personalization solution. This new offering builds on the foundational real-time personalization capabilities of the Evergage Platform, incorporating dynamic suggestions of pertinent products or pieces of content that will resonate with individual visitors. Leveraging deep behavioral analytics and insights, Evergage Recommend delivers these suggestions based on visitors' expressed or implied preferences, as well as the aggregated browsing and past purchase behaviors of other visitors. This enables marketers to more completely act upon customer intent and respond with the most relevant recommendations, improving customer experiences and increasing conversions.

Unlike standard point-solution recommendation engines, Evergage Recommend gives marketers greater flexibility and control with the ability to utilize pre-built algorithms, build their own from scratch, or customize pre-built formulas by defining various parameters. Once created, recommendations can be deployed anywhere within a website by a marketer, not just placed in fixed positions.

"We strive to offer the most robust real-time personalization platform available today. A natural extension of that, Evergage Recommend was designed to work across industries and verticals – from the more obvious adopters such as retailers, to travel, financial services and publishing companies," said Karl Wirth, co-founder and CEO, Evergage. "This is an exciting new offering for our customers, and we're thrilled to provide a tightly integrated platform for making relevant recommendations that are uniquely tailored to each individual's experience."

Evergage users are familiar with the company's deep analytics, easy campaign creation, robust targeting, A/B and multivariate testing, and attribution capabilities. But now, the company is innovating in recommendations. To date, standard recommendation solutions have continued to operate in a silo, cut off from testing, segmentation, customer data and analytics. Evergage Recommend bridges this gap in five key ways:

  1. Control – The recommendation algorithms aren't hidden in a "black box". Instead, Evergage provides complete transparency so marketers can see the details and implications of their product or content recommendation strategies, modify them or create new ones from scratch.
  2. True Intent – Where other recommendation solutions have traditionally leveraged product popularity data based on clicks or purchases, Evergage also factors in deep individual visitor behavioral data – including time spent and overall engagement – to deliver highly targeted recommendations based on true intent and personal preferences.
  3. Relevancy – Deeper data and better algorithms enable Evergage-powered recommendations to consider individual affinity, segment and survey response data along with overall intent, resulting in greater relevancy and effectiveness.
  4. Real-Time Catalog – The solution does not require companies to integrate with product or content catalogs via APIs. Instead, catalog data is collected in real time as visitors browse the site so it can be used instantly for personalized recommendations.
  5. Complete Personalization Solution – Seamless integration with the core Evergage Platform and other modules enables marketers to optimize recommendations per audience, place them anywhere on a Web page, A/B test different strategies, and even utilize CRM, segment, survey and social affinity data.

"With Evergage Recommend, our Merchandising team can introduce relevant product recommendations with minimal effort," said Paul Kisicki, director of merchandising, Zumiez, provider of clothing, footwear and accessories for active skate and snow lifestyles. "And because we're able to control and preview the algorithms driving recommendations, we're much more confident in what's being presented to shoppers based on their unique interests and preferences. Most importantly, the results have been validated by the measurable increase in sales of recommended products."

For more details on Evergage Recommend and how the combined power of real-time recommendations and personalization can improve digital customer interactions, please visit: http://www.evergage.com/products/recommend/.

About Evergage
Evergage's cloud-based platform delivers real-time personalization to more than 500 million web visitors, improving demand generation, revenue growth and customer success for over 120 organizations, including Gardener's Supply Company, Intuit, Publishers Clearing House, Rue La La, Tivo and Travelzoo. Evergage empowers marketers to increase engagement and conversions of website visitors and users through personalized content and experiences based on deep behavioral analytics. Evergage is a 2014 Marketing ARC Award winner, a 2014 MITX What's Next Award winner, a Red Herring Top 200 North American company, and a two-time BostInno "50 on Fire" finalist. For more information, visit http://evergage.com or contact the company at info@evergage.com or 1-888-310-0589. 

Media Contact:
Sarah Otterstetter
Davies Murphy Group
Email: evergage@daviesmurphy.com
Phone: +1 781-418-2416

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SOURCE Evergage