Leverage behavior, demographics, and real-time insights to build your audiences and maximize campaign impact.
Anonymous visitors don’t leave name tags. Without segmentation, you’re stuck trying to figure out who’s just passing by, who’s interested, and who might actually buy—like playing eCommerce detective.
When your data is scattered across multiple touchpoints, determining the optimal number of segments and identifying which ones drive the most revenue, retention, and customer lifetime value is a complex task.
Even when you track their favorite categories, analyze their browsing patterns, and time your follow-ups perfectly, turning one-time shoppers into repeat customers remains one of the most stubborn challenges.
Group customers based on their shopping habits—how recently they purchased, how often they shop, and how much they spend.
Segment audiences based on their purchase history, browsing patterns, and cross-channel campaign interactions.
Use attributes like location, age, gender, privacy consent, and more to create messages tailored to each profile.
No coding skills? No problem! Build and customize your audience segments easily with our intuitive interface.
Identify customers that drive the highest revenue, engagement, and long-term customer value with AI-powered predictions.
Keep your segments fresh and relevant with real-time updates based on customer actions and preferences.
PBSL, a building materials supplier, achieved a 160% revenue increase by using customer data effectively. They combined data from different systems, identified specific customer groups, and created personalized messages that really connected with their construction clients.
Miriade, an Italian fashion retailer, saw their customers spend 40% more on average after making better use of their loyalty program data. They studied shopping patterns, personalized recommendations, and created targeted offers that their customers actually wanted.
Riverford, delivering organic food across the UK, grew their newsletter to 38,000 subscribers by getting smarter with customer data. They studied buying patterns, customized their messages, and sent relevant content that kept customers engaged and coming back for more.
Turn your customers into superfans with hyper-personalized messages they can’t ignore.