Recommendation Strategies
Learn how to choose and apply the right recommendation strategy to deliver relevant items across different user touchpoints.
Overview
A Recommendation Strategy defines how CleverTap selects and ranks items for each user. Each strategy uses a different approach: some surface items with high engagement across all users, others personalize based on an individual's browsing or purchase history, and others identify items with similar attributes. Choosing the right strategy determines whether a recommendation feels relevant or generic.
Recommendation Algorithms
CleverTap recommendation strategies are built on three underlying algorithms. Each algorithm determines how items are selected and ranked.
The following table lists the algorithms and the CleverTap recommendation strategies they power:
| Algorithm | Description | Strategies Powered | Examples by Vertical |
|---|---|---|---|
| Rule-Based |
| Popular, Trending, Best Sellers, Popular in Category, Trending in Category, Best Sellers in Category, Last-Minute Add-ons, Last-Minute Add-ons in Category |
|
| Content-Based |
| More Like These, Similar to What You Viewed, Premium Alternatives |
|
| Hybrid |
| Based on What You Viewed, Because You Viewed, Frequently Bought Together, Frequently Viewed Together |
|
Available Strategies
The following strategies are available to generate recommendations from your catalog:
Choose Right Strategy
Pick a strategy based on where the recommendation appears and what user data you have available:
| Goal | Available Data | Recommended Strategies |
|---|---|---|
| Drive initial discovery | No user data required | Popular, Trending, Best Sellers |
| Surface popular or emerging items | No user data required | Popular, Trending, Best Sellers |
| Drive category-level discovery | No user data required | Popular in Category, Trending in Category, Best Sellers in Category |
| Personalize within a category | Browse and view history | Based on What You Viewed |
| Keep the user exploring | Browse and view history | Based on What You Viewed |
| Show similar items | Catalog attributes | More Like These |
| Drive repeat engagement | Purchase and view history | More Like These |
Select the strategy that best matches the user's context to keep recommendations relevant and effective.
Updated about 14 hours ago
