From simple if/then rules to sophisticated scoring algorithms and AI-powered matchingβbuild the perfect logic for your products.
Each logic type is designed for specific use cases. You can even combine multiple types in a single quiz.
Each answer upvotes, downvotes, includes, or excludes products. At the end, the highest-scoring non-excluded products are recommended.
Best for: Complex catalogs, skincare routines, supplement matching
Classic if/then rules for straightforward product matching. "If they answer X, show product Y." Simple, predictable, and easy to set up.
Best for: Gift finders, curated bundles, smaller catalogs
Map answer combinations to specific product variants using a spreadsheet. Perfect for shade matching where you need to recommend the exact right SKU.
Best for: Foundation matching, size finders, color matching
Ask different questions based on previous answers. Skip irrelevant questions. Create unique paths for every customer.
Best for: Long quizzes, complex journeys, varied product lines
Assign point values to quiz answers, then use score thresholds to control which products appear and what content shows on your results page.
Best for: Assessments, tiered recommendations, severity scoring
Not sure which to use? Here's a side-by-side comparison of all logic types.
| Feature | Dynamic Scoring | Custom Logic | Variant Matrix | Branching | Points Logic |
|---|---|---|---|---|---|
| Best for | Complex catalogs | Curated bundles | Shade matching | Long quizzes | Assessments |
| Complexity | Medium | Low | Medium | Low | Medium |
| Output type | Ranked products | Specific products | Exact variant | Question flow | Content visibility |
| Handles exclusions | β | β | β | β | β |
| CSV import | β | β | β | β | β |
| Multiple recommendations | β | β | Single | N/A | β |
| Controls question flow | β | β | β | β | β |
| Score thresholds | β | β | β | β | β |
| Syncs to Klaviyo | β | β | β | β | β |
Not sure which to use? Most customers combine multiple logic types.
Talk to an Expert βThe real magic happens when you combine multiple logic types. Use branching to ask the right questions, dynamic scoring to narrow down products, and points-based logic to personalize the results page.
See how Octane AI's flexible recommendation engines can drive more conversions.