Your Returns Policy Is an Ad Targeting Decision

Returns as an Acquisition Lever

Brands use generous returns policies to reduce purchase friction. "Buy 3 sizes, return 2" is now standard in fashion. "Try before you buy" removes all risk from the customer - and transfers it entirely to you.

This works beautifully for conversion rates. A "free 60-day returns" badge on your product page can lift conversion by 20-30%. But it also means your effective CPA is 30-50% higher than your platform reports, because a significant chunk of "conversions" will be returned.

If your Google Ads bidding is set against platform-reported CPA without adjusting for returns, you're systematically overbidding. The algorithm thinks it's hitting target. Your P&L shows it isn't. This is the core insight behind return-adjusted bidding.

The Generous Policy Trap

The trap is that generous policies appear to work because they lift the metrics agencies report on: conversion rate, ROAS, CPA. All improve when returns friction is removed. But these are pre-return metrics. Post-return economics tell a different story.

Example: you spend £10,000 on Google Ads and generate 200 orders at £50 CPA with £100 AOV. Your platform says £20,000 revenue, 2x ROAS. But 60 orders (30%) get returned. Your real revenue is £14,000. Your real CPA is £71. Your real ROAS is 1.4x. At 25% margin, you've just lost money.

Category Variation

Return rates vary dramatically by category, and this variation should drive different bidding strategies:

• • Fashion/apparel: 25-40% return rate - size and fit drive returns
• • Beauty/skincare: 5-10% return rate - low returns, high repeat
• • Electronics: 8-15% return rate - spec mismatches and buyer's remorse
• • Home & furniture: 5-12% return rate - but shipping cost of returns is extreme
• • Supplements: 3-8% return rate - consumable, low return friction

A fashion brand and a supplements brand with identical pre-return ROAS have wildly different actual profitability. Your bidding should reflect this - yet most accounts use the same target across all categories.

Bidding Adjustments

The fix is straightforward: calculate your category-level return rate and adjust your bidding targets accordingly. If your fashion category has a 35% return rate, your target CPA should be 35% lower than your breakeven CPA to account for the returns that will follow.

For POAS bidding, include estimated return costs in your margin calculation. Returns cost more than just the lost revenue - there's shipping, restocking, and often markdown when returned items can't be resold at full price. These are the hidden costs that serial returners amplify.

Policy Segmentation

Advanced brands segment their returns policy by product category. Full-price items get generous returns. Sale items get restricted returns (final sale or exchange only). High-return categories get shorter return windows.

This segmentation should map directly to your Google Ads structure. Campaigns promoting sale items with restricted returns can bid more aggressively (lower return risk). Campaigns promoting try-on categories need conservative targets to absorb the inevitable returns.

Next Steps