Ecommerce Personalization
Go beyond generic experiences with Klevu AI’s one-to-one personalization
Transform every customer’s journey from the first click to the final purchase with Klevu’s intelligent personalization. Our advanced AI technology doesn’t just adapt – it individualizes, ensuring each visitor receives an experience as unique as they are.
Trusted by the world’s leading brands and retailers
Privacy-First Personalization
Personalization without sacrificing privacy
You don’t need to trade off user experience for privacy. Our platform understands shopper behavior and preferences, delivering a personalized shopping journey without using sensitive personal data.
Search Personalization
Personalize the product order of search results
When a user initiates a search, Klevu quickly identifies their shopping intent and correlates it with the behavior of similar users. This enables Klevu to utilize clickstream data for dynamically optimizing the product listings within the search results.
Category Personalization
Curate and automatically personalize category pages
On product listing pages, personalization is designed to reset after a short period of time, in line with Google’s personalization policy. This ensures relevancy and helps shoppers avoid getting stuck in a filter bubble when browsing.
Personalized Recommendations
Keep product recommendations fresh and relevant
Automatically tailor product recommendations to individual shoppers, and choose the ideal refresh timeframe based on your industry’s unique needs. This ensures that your customers always encounter fresh and relevant product suggestions.
Segmentation
Seamlessly combine segments with personalized one-to-one recommendations
Klevu elevates ecommerce experiences by fusing customer segments with advanced one-to-one personalization. Link customer searches back to tailored product recommendations, ensuring each user encounters the most relevant and enticing products, whether they are in the segment or not.
Collaborative Filtering
Unlocking collective preferences with collaborative filtering
Collaborative filtering leverages user behavior to predict individual preferences, much like Spotify’s recommendation algorithm. This approach fosters deeper customer connections and increases website conversion rates through more relevant suggestions.
Case Study: Topps Tiles
Topps Tiles: The Search for A Discovery Tool
Case Study: Eurokangas
How an omnichannel retailer doubled click through rates online in 2-weeks with Klevu Discovery Suite
Case Study: Sarah Raven
Dr Barbara Sturm used Klevu AI search and merchandising to achieve 61% click-to-conversion rate
Case Study: Monrovia
B2B plant retailer Monrovia saw a 50% increase in use of on-site search with Klevu
Case Study: Laura Mercier and BareMinerals
Personalized Klevu search improves conversion and engagement rates for Bare Minerals and Laura Mercier
Support Services
Technology that works and people who care
You don’t have to do it alone. Ensure you have a support team by your side that is highly responsive, knowledgeable, and hard-working.
Client Testimonials
Here’s why retailers 
Klevu
Klevu“We’ve found that using Klevu AI increases AOV, on site customer experience, CLV, and ROAS.”
“Now with Klevu, we have time and resources available to focus on scaling the business.”
“Klevu really works out of the box. We have been impressed by the flexibility of the APIs – straightforward, well documented, stable and working as advertised.”
“Klevu has allowed us to bring a feature set to our client that allows their customers to shop more efficiently.”
Let’s grow together
Take the next step, tell us your goals, and let us exceed them together.