Want to see how our predictive personalization technology works? See the personalized recommendations here
With the help of 870 Million pages we have personalized so far, we have learned that understanding the visitor is the key in doing personalization right on an online store.
That is why we're happy to say that we're not a 'yet another recommendation engine'. We not only analyse behaviours around products but also the visitor’s individual preferences and similar users’ preferences.
• We track and micro-segment your visitors in real time.
• We show each visitor the right set of recommended products, at the right moment.
• We offer a consistent experience across web and mobile.
• We match visitors with similar tastes to come up with recommendations similar to a good-old friend’s advice.
• Boost sales
• Sell more products
• Increase customer loyalty
• Help visitors find the right products
It only takes 3 clicks to install the app and then you step into our world of automated recommendations! No need to insert any codes or play with the styling of the app.
The context of the visit is often ignored by the recommender systems; obviously that’s not us! We understand the visitor’s context or in other words ‘intention to visit’ and greet her with a set of personalized recommended products on the homepage.
Let’s say a visitor browsed through a pair of shoes worth USD 150 in his last visit. When he visits the shoes category page, wouldn’t it mean lost sales or confusion for this guy to see USD 50 shoes? That is why we personalize the category pages according to the visitor’s previous behaviour and show him the recommended products that he is likely to buy.
If a visitor has landed on a product detail page, then we can assume that she already has something on her mind. We understand what kind of a page she’s visiting and we show her personalized related products from that specific category.
Search on online sites do not always yield results. Still; this page is important for the online retailer as that user is likely to convert if he is treated well. Showing personalized recommendations is a great way to motivate the visitor to browse through other pages even if his search was not successful.
If the visitor has already added an item to her basket, she can as well add another one. With the help of our cross-category engine that keeps track of your stores' baskets in real time, we know which categories are bought together. We use this information to display personalized cross sell recommendations; a great way to increase the size of the basket in the cart page.
Note: Perzonalization’s recommendations only appear on dedicated pages/URLs of your store.