How to place customized offers and product proposals that are well received and convert.
Webtrekk makes it easy to provide customers and prospects with relevant product suggestions on websites, in apps, or via email. The basis for customized purchase recommendations is click and purchase behavior plus the history of each individual user. Enriched user profiles and search queries additionally support targeted recommendations. Select which products and offers are most relevant to your contacts.
- Customizable rules for customized cross-channel campaigns (localization, device information, purchase history, etc.)
- Products, articles, special offers—create significant uplifts by linking products
- Product recommendations can be displayed across multiple channels and easily adapted contextually
- Leverage personalized offers to reduce cart abandonment rate
- Segmentation and integration with existing User Relationship Management (URM) profiles
- Utilize recommendation widgets to optimize for maximum conversion rates
Whether on websites, in apps or e-mails, implementation is very easy!
Our Product Recommendations can be used “out of the box.” Recommendations and purchase suggestions are based on personal user information, which promises to lead to successful results. This applies to websites and apps as well as email marketing.
Frequently Asked Questions:
How versatile are the Product Recommendations?
You can easily adjust your recommendations at any time in order to precisely address target groups. You can segment everything from past user behavior to shopping history and referrers. You can define specific rules for each individual campaign. For example, for a campaign to run, you could specify that the weather conditions must meet certain criteria – it’s difficult to sell swimsuits when it’s cold outside.
How can I create added value with Product Recommendations?
If a customer recently bought a tablet, it’s likely that they are also interested in a tablet cover or bag. Product recommendations based on related offers create significant added value. Combined with artificial intelligence, such recommendations can go that step further in granularity. In addition to complementary products, you can offer purchase recommendations based on customer preferences and expected conversion probabilities.
Are Product Recommendations only relevant for e-commerce companies?
Other industries can benefit significantly from precise recommendations, too. For example, as a publisher, you can identify interests from analyzing visitor reading behavior. Use this as your basis for recommending suitable content—both onsite and via e-mail or push message. Leverage this to recommend articles behind the paywall. The higher the relevance the content has for the user, the higher the conversion probability.