bundle-pricing

Bundle pricing raises AOV by grouping complementary, non-substitutable SKUs into good-better-best tiered offers. It uses SKU co-purchase affinity and explicit margin math to drive revenue lift while actively checking for cannibalization risk.

The good-better-best strategy structures bundles into starter, middle, and anchor tiers. Each tier applies specific discount ranges and explicit expected margin calculations to guide customers toward higher-value purchases without cannibalizing single-SKU revenue.

Building bundles based on SKU affinity requires analyzing co-purchase data to group complementary, non-substitutable items around an anchor SKU. This data-driven composition prevents guesswork and ensures offers align with actual customer purchasing behavior.

Testing bundle offers to protect gross margin involves structured experimentation on tiered discounts and reveal placements. You analyze margin by product and attach rates to output actionable bundles alongside a dedicated testing plan.

Bundle reveal placement to maximize AOV lift depends on analyzing attach rates across product pages, cart upgrades, and post-purchase touchpoints. Strategic placement ensures offers appear where customers are most likely to upgrade their order value.

Bundle pricing is the right lever for low AOV after diagnosing AOV trends and catalog discount dynamics. If analysis shows stagnant AOV and underperforming single-SKU sales, affinity-based bundle composition with good-better-best tiering becomes a viable optimization strategy.