Fresh Relevance Launches Contextual Personalization Tool

In the UK, personalization platform Fresh Relevance has added a tool called Contextual Auto Optimize to its platform, to enable online businesses to automatically serve the most relevant experience to each customer, based on different contexts relating to when they are viewing.

Fresh Relevance helps commerce-driven businesses deliver personalized customer experiences across their web sites, apps, e-mails, paid social media and ads, without having to rely on IT support. The firm's new Contextual Auto Optimize tool is designed to enable organisations to automatically optimize the cross-channel customer experience for each shopper, in order to improve conversion rates, average order value (AOV), web bounce rates and more.

Contextual Auto Optimize is an extension to the firm's existing Auto Optimize feature, which identifies changes in asset performance, based on factors such as weather, season or external events, and then automatically serves the variant that will achieve the best results. Contextual Auto Optimize ensures that every shopper is presented with content that will resonate strongest with them. Individual content assets, or the entire customer experience can be automatically optimized across multiple channels for many different contexts when users are viewing, such as day of week, time of day, the shopper's country, device type, purchases, and predicted purchase price.

Mike Austin (pictured), CEO and co-founder, comments: 'Contextual Auto Optimize helps marketers to get the most out of the web and app content they are showing and the e-mails and SMS they are sending. The context of a shopper can influence which content gives the best results, so Contextual Auto Optimize gives better results without any extra work for the marketer.'

Web site: www.freshrelevance.com .

All articles 2006-23 written and edited by Mel Crowther and/or Nick Thomas, 2024- by Nick Thomas, unless otherwise stated.