Quick Answer
For search, voice, and "just tell me what to do".
Bundles increase revenue by making customers buy more per transaction - but only when bundled products actually make sense together. AI can analyze purchase patterns, product relationships, and customer segments to identify bundles that feel natural and valuable. The best bundles aren't random combinations; they're curated solutions that solve complete problems. AI finds the combinations you'd miss.
Key Takeaways:
- Bundles increase transaction value when done right
- AI identifies natural product affinities
- Problem-solving bundles outperform random combinations
- Bundle pricing psychology affects perceived value
- Different segments want different bundles
Playbook
Analyze purchase data for product correlations
Use AI to identify complementary product clusters
Create bundles that solve complete problems
Price bundles to show clear value vs. individual purchase
Test bundle combinations and optimize
Common Pitfalls
- Random bundles without logical connection
- Bundles that don't save money vs. individual items
- Too many bundle options confusing customers
- Bundles that cannibalize higher-margin individual sales
Metrics to Track
Average order value increase
Bundle attachment rate
Bundle revenue vs. individual item revenue
Customer satisfaction with bundles
Bundle return rate vs. individual products
FAQ
How many products should be in a bundle?
Usually 2-4 products. Enough to provide clear value, not so many that the bundle feels overwhelming or unfocused.
How much discount should bundles offer?
10-25% off individual pricing typically. Enough to motivate bundled purchase, not so much that it feels desperate or devalues products.
Should I offer bundles for all products?
Only where combinations make sense. Forced bundles hurt perception. Focus on natural complements where buying together genuinely serves customers.
Related Reading
Next: browse the hub or explore AI Operations.