What return policy information should I include during checkout?

Product Bundling Strategy for Cosmetics

Bundles work in cosmetics because customers want a complete solution, not individual products. A customer buying a cleanser is often looking for a full routine. Presenting that routine as a curated bundle - at a meaningful discount - converts the need into a single, higher-value transaction rather than three smaller ones over time.

Bundle Types and Typical AOV Impact

Bundle Pricing Strategy

• Minimum 15% savings: Below 10%, customers don't perceive meaningful value and buy items individually; 15-20% is the sweet spot for bundle acceptance without excessive margin sacrifice
• Show original total clearly: "Would cost $89 individually - bundle price: $72" frames the savings concretely
• Anchor on the most expensive item: Lead with your premium hero product, add supporting items at high perceived discount
• Test bundle discount threshold: Some audiences respond better to 15%, others to 20%. A/B test with meaningful traffic before committing to a permanent structure.

Frequently Bought Together Integration

Growth Suite's Frequently Bought Together surfaces product pairings based on actual co-purchase data from your store, ensuring bundle suggestions reflect what your real customers actually buy together rather than guesswork. This data-driven approach consistently outperforms manually curated bundles because the pairings are validated by real purchasing behavior. Combined with Advanced Cart Drawer features, bundle suggestions can appear at the moment of highest receptivity - when a customer adds the first product to their cart.