Use your data to give customers what they want

With Onsite Personalization you can optimize your website visitor’s experience – this creates a win-win for both the visitor and your organization. Define target groups based on numerous variables, such aslocation, device information, historic user behavior, purchase history, referrer,  and keep your visitors engaged.

Content Changes with your Customer:

  • Use analytics data and rich user profiles to segment your visitors into behavioral groups.
  • Create custom rules for specific campaigns both short and long-term
  • Individual teasers, smart product recommendations or even completely customized landing pages.
  • Test different content for each segment to find out what people are truly interested in

Customize, Optimize, Win

Keep people on your website longer by engaging them in smarter ways. Interests and needs are different for new shop visitors, returning visitors or long-term customers so you need to treat them differently, too.

Frequently Asked Questions

If I want to show banners to specific user groups, can I set that up myself?

Yes, as a customer, you have access to all the configuration settings. You can take a look into how it works in more detail here.

What’s an example of Onsite Personalization?

There are many! For example, show banners to return visitors who visited a product page giving them a special offer for that same product. A content example – suggest content to people who visited more than one page of a specific site section so that they find more related content, or perhaps you have an offer or whitepaper for them regarding the topic they previously read about.

Your imagination is the only limit to what you can do with this… so put your marketing hat on, put yourself in the visitor’s shoes, make a plan then try things out. Then test, measure and repeat.

Is Onsite Personalization the same as Product Recommendations?

Not completely. Of course, Product Recommendations are personalized, however, in terms of how our tool works, Product Recommendations has different configuration options. You can read more about Product Recommendations here. They all use the same data in the background but the visual options are different.