By recommending the right product at the right place and time, Resulticks helps each customer get to what they need in minimum time, eliminates any unnecessary lag in their journey towards conversion, and maximizes your campaign ROI.
To ensure the precision of your cross- and up-selling efforts, Resulticks identifies the right products to recommend for each individual based on their evolving profile and behavior—past purchases, browsing history, propensities, and more.
Tailor the browsing experience with products, offers, and interactions specific to each individual through AI-driven merchandising. Automate the display of relevant categories, like “frequently bought together,” and “popular now”—according to advanced segmentation and AI-derived attributes.
Resulticks provides the flexibility to accommodate rule-based recommendation models from the brand through API integration and incorporate existing product catalogues into campaign communications.
Easily include relevant product recommendations in your omnichannel marketing campaigns and embed them in a wide range of touch points to seamlessly engage your audience, wherever and whenever.
Resulticks’ lookalike targeting capability examines your database to create an audience similar to your target segment, maximize reach, and boost potential conversions.
Align the delivery of product recommendations with each audience member’s channel, time, and content propensities as well as past behavior, demographics, and more for optimal engagement and conversion. To avoid repetition, Resulticks also automatically stops showing recommendations to your audience once they purchase the products.
Resulticks’ AI-powered, next-best engine contextualizes every product you recommend in real time. It examines your product catalogue and diverse attributes such as campaign type, share of wallet, purchase pattern, propensities, real-time behavior, location, and more to deliver individually relevant recommendations.
With a dynamic Smart Link embedded in your communications, direct your audience to tailored endpoints that display individualized product recommendations.
Resulticks’ AI and machine learning-driven product recommendation grows stronger with every interaction. It analyzes your audience’s responses to previous recommendations to continuously improve what it recommends next and achieve better outcomes in the future.
