WEBSITE
PERSONALIZATION

Retail Rocket analyzes the behavior of your visitors and adjusts your website in real time so that each customer gets their own version of the webshop, highlighting the products that they are most likely to buy, based on their preferences and purchase history.

20+ personalization scenarios for each step of the customer journey

A free 30-day trial with full support (see our performance-based pricing)

Up to 50% revenue lift (based on our clients A/B tests)

Retail Rocket Personalizes E-commerce Website In Real Time

Most popular products

The most popular products (based on views, searches, baskets, orders, etc.) from the categories they are interested in.We use a smart time-based discount system to display what’s popular right now.

New products that user is most likely to be interested in

New products from categories, that visitors are currently interested in. This algorithm shows the maximum results for fashion, entertainment (books, movies, music, games, etc.), home appliances, and so on.

Real-time personal recommendations

Product recommendations based on their interests and website behavior in real time. Our research shows that on average 50% of the visitors who end up buying make their purchase within 24 hours from the first interaction with your website, which makes the fast generation of personalized content very important.

Most popular products in category

The most popular products for each category of your website. Using smart profiling technology different segments of your visitors will receive different products.

Search-based recommendations

Products most relevant to the keyword your visitors used in a search engine before landing on your website. Using search-based recommendation personalizes SEO/PPC landing pages and slightly decreases the bounce rate.

New products

New products for each category of your website

Interest-based sorting

With Retail Rocket real-time user interests analytics technology you can sort sale or new arrival pages showing visitors the most relevant products.

Related products («other customers also bought», «you may also like»)

Complementary products that visitor can add to cart based on his current cart contents. This is a great tool to boost average order value of your shop.

Similar products («customers who viewed this also viewed», «customers who viewed this ultimately bought»)

The most similar products to the one that a visitor is currently looking at. Similarity is based on product properties (price, brand, category, text description, etc.) and other customers behavior (what they also viewed, what they ultimately ended up buying, etc.). It helps your customers to find the products they need.

The most popular products from the same category that a product that a visitor is currently looking at belongs to.

Similarity is based on product properties (price, brand, category, text description, etc.) and other customers behavior (what they also viewed, what they ultimately ended up buying, etc.). It helps your customers to find the products they need.

Similar products in stock

This algorithm is designed specifically for products that are sold out and can’t be purchased. It provides a list of similar offers that are most likely to be purchased instead of the product that is out of stock and slightly increases the conversion rate of traffic landing on these products from search engines and PPC ads.

Related product in stock

Complementary products that a visitor can add to cart with the current product.

Related products («other customers also bought», «you may also like»)

Complementary products that visitors can add to the cart based on their current cart contents. This is a great tool to boost average order value of your shop.

Search-based recommendations

Products, that are most relevant to the keyword, that your visitor used in a site search based on what other people with similar searches were interested in. It’s a great behavior-based add-on to text-based site search that is built in most CMS.

Personal recommendations personalization

A list of products that a user is most likely to buy based on his preferences, website behavior and order history.

Most popular products / bestsellers

The most popular products from the categories a user is interested in.

New products that user is most likely to be interested in

New products from categories, that visitors are currently interested in.

Search-based recommendations

Products, that are most relevant to the keyword, that your visitor used in a search engine before landing on your website. Using search-based recommendations personalizes SEO/PPC landing pages and slightly decreases the bounce rate.

Most popular products

The most popular products (based on views, searches, baskets, orders, etc.) from the categories visitors are interested in. We use a smart time-based discount system to display what’s popular right now.

Personal recommendations

A list of products that a user is most likely to buy based on his preferences, website behavior and order history.

How Does It Work?