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 in more detail here.
What’s an example of Onsite Personalization?
There are many! Showing banners to return visitors who visited a product page with a special offer for that product. For content, you can suggest content to people who visited more than 1 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. The limits are as limited as your imagination… so put your marketing hat on, put yourself in the visitor’s shoes, make a plan and try things out – test, measure, 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.