Name: Exploring Web Recommendations in SAP Engagement Cloud, Emarsys Edition
Uploaded: 2026-6-18
Duration: 188 s
Description: This video discusses the Predict web recommendation engine, which analyzes the online behavior of your customer base and serves more personalized product recommendations.

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<div><div>This video discusses the Predict web recommendation engine, which analyzes the online behavior of your customer base and serves more personalized product recommendations.</div></div>

Exploring Web Recommendations in SAP Engagement Cloud, Emarsys Edition

Now let’s move on to the Web Recommender. Product recommendations  appear on your website pages in the form of recommender widgets. These display a selection of relevant products served by their own specific recommender logic. The integration is done on the page’s frontend using standard technologies like Javascript, HTML and CSS. On the home page of your site, a series of recommender widgets populated by the HOME widget engage first-time visitors and returning customers alike with popular product offers from the most relevant product categories. First-time visitors receive generic trending product offerings, while returning customers receive a fully personalized experience. On your product pages the Predict RELATED widget helps boost this revenue by suggesting visitors find the Right Product from a selection of interesting, but similar items. RELATED widgets usually generate the major part of Predict's direct added value. If you are going to use just one Predict widget, use RELATED on your product pages. Finally, products are placed in the cart. Because we know buyers are indecisive and 70% of carts get abandoned, the CART widget targets buyers with a mix of complementary and alternative products to drive cross-sell opportunities. These are the recommender widgets most visitors interact with. However we do offer a few more widgets to integrate as well. The Web Recommender reporting page lets you keep track of all the interactions of your customers with the Predict recommendations on your website. The overview report at the top shows the contributions that your widgets have made to your business over the defined time period. These are broken down by total contribution in percentage, total revenue earned and overall click-through-rate from all widgets. Below you see the impact broken down by the different widget you have. Predict attributes revenue from web recommender widgets by tracking which links a visitor clicks in a widget during their visit to the website. If the visitor purchases the same item within 24 hours, the item purchase is attributed to that widget (other items purchased at the same time are not attributed to the widget). Clicking on Compare widgets expands a series of charts with each widget represented by its own line. Widget performance is shown per day, week or month. You can compare widgets according to: Impressions, which is the number of times the page containing each widget was loaded, Click-through-rate, which is the clicks as a percentage of Impressions, Revenue, which is the total value of all the Order lines, or Revenue contribution, which is the revenue from the recommender as a percentage of total revenue. By merging cross-channel behavior into a single record we are able to ensure the most relevant and personalized experience for each individual user. In addition, thanks to the tight integration between our recommendation engine and the Emarsys email infrastructure, anonymous profiles are easily matched with identified contacts, ensuring maximum touch-point coverage. The result is that you can personalize significantly better to more contacts with an omnichannel approach than you could ever imagine. We hope this video was useful. Thank you for your attention!