May 24, 2016

Evergage For Email Launches

Cloud-based marketing platform Evergage announced the general availability of Evergage for Email on Tuesday -- a real-time personalization platform for email campaigns.

Evergage provides real-time personalization to Web site visitors based on customer data, behavioral analytics and historical engagement. Evergage for Email extends the personalization company’s technology to the email channel, which consistently has the highest return on investment for every dollar spent. 

Evergage has extended its predictive intelligence solution, Evergage Recommend, to the email channel to allow email marketers to build and deploy personalized emails. The new predictive email personalization solution applies machine learning algorithms to dynamically insert email content and product recommendations for each individual subscriber. 

The product is integrated into email templates with the insertion of a small line of code, allowing email marketers to rapidly deliver relevant email body copy, unique promotions and product recommendations.

Additional product features include a unified profile of customer data, price and brand affinity as well as historical engagement analytics.  

Karl Wirth, CEO of Evergage, says Evergage customers have already seen increased conversion rates with Evergage for Email.

Rue La La, a daily deal fashion e-commerce site and Evergage customer, increased its conversion rate by 20% when members saw and interacted with personalized recommendations placed on product detail pages and the home page. Gardener’s Supply Company, an online provider of gardening equipment and apparel, achieved an 11% increase in purchases by using Evergage Recommend on its home page in a holiday season campaign.

Evergage also provides account services to help marketers make the most of the company’s technology and every Evergage customer has a customee success manager to provide strategic support.

Read more:  http://www.mediapost.com/publications/article/276608/evergage-for-email-launches.html