PERSONALIZATION MODULES
Map individual customer behavior against advanced targeting and audience segmentation tools to display the right piece of content to the customer. Find out more about Personalized Content.
Enhance the browse and navigation experience with personalization that dynamically adapts to each shoppers unique behaviors and preferences. Find out more about Personalized Browse and Navigation.
Powerful machine-learning engine selects the most relevant, data-driven personalized product recommendations for each customer interaction. Find out more about Personalized Recommendations.
Captivate shoppers with dynamic search results, optimized for each individual with the only full stack search solution powered by 3 layers of personalization. Find out more about Personalized Search.
Powerful Personalization
The Personalization Cloud™ is a revolutionary personalization engine that allows you to quickly innovate and deliver personalized, brand centric experiences across the continuum of your customer lifecycle. The result is deep engagement and loyalty from customers. RichRelevance personalization tools create experience continuity across mobile, web, in-store and other sales channels
RELEVANCE IN ACTION
Shop Direct Case Study
Shop Direct were looking for a forward thinking technology partner to take their personalization to the next level. Hear from Kathryn Jones, Onsite Search and Navigation Manager at Shop Direct talk about how they are currently utilizing RichRelevance and the results they are seeing.
Additional Resources
How to Get Shoppers to Log In
WEBINAR
Learn tips on how to get your shoppers to log in by demonstrating the value of a more individualized experience.
5 Types of User Matching Challenges
WHITE PAPER
This paper shares how you can leverage user ID matching and RichRelevance features to identify users and motivate shoppers to log in.
Homebase Utilize More Data
CASE STUDY
To optimize its website experience for customers, Homebase incorporated stock updates, trends and personalization into the recommendations.