Export Shopify returns by SKU to Merchant Center exclusions
ConvertMate's growth team analyzes your Shopify return rate data by individual SKU to automatically exclude products with return rates exceeding 25% from your Google Merchant Center feed, preventing wasted ad spend on items that generate high acquisition costs but low net revenue due to excessive customer returns and refund processing. This workflow helps ecommerce brands focus their advertising budget on products that customers actually keep, improving overall campaign profitability by eliminating the hidden costs of high-return merchandise.
Request a demoHow your data flows
Extract return data by SKU
Pull return rates, refund frequency, and return reasons for every product variant from your Shopify order history
Calculate return rate thresholds
Analyze which SKUs exceed 25% return rates and calculate the true cost impact including refund processing fees
Build exclusion feed rules
Create custom feed rules that automatically exclude high-return products while maintaining visibility for items with acceptable return patterns
Apply product exclusions
Update your Shopping feed to remove high-return SKUs from ad eligibility while preserving organic listings
Extract return data by SKU
Pull return rates, refund frequency, and return reasons for every product variant from your Shopify order history
Calculate return rate thresholds
Analyze which SKUs exceed 25% return rates and calculate the true cost impact including refund processing fees
Build exclusion feed rules
Create custom feed rules that automatically exclude high-return products while maintaining visibility for items with acceptable return patterns
Apply product exclusions
Update your Shopping feed to remove high-return SKUs from ad eligibility while preserving organic listings
How it works
Extract return data by SKU from Shopify
ConvertMate's growth team connects to your Shopify order and refund data to extract return rates for every product variant in your catalog. This analysis includes return frequency, refund amounts, and common return reasons to identify which specific SKUs generate excessive returns. The team calculates return rates over rolling 90-day windows to account for seasonal variations and ensure accurate threshold detection.
Calculate return rate thresholds and cost impact
The growth team analyzes which products exceed your defined return rate threshold (typically 25%) and calculates the true cost impact of each high-return SKU. This calculation includes not just the refunded revenue but also payment processing fees, shipping costs, restocking expenses, and customer service time. Products that generate high acquisition costs through advertising but low net revenue due to returns are flagged for exclusion from your paid campaigns.
Build custom exclusion feed rules
ConvertMate's team creates custom feed rules that automatically exclude high-return products from your Google Merchant Center advertising feed while maintaining their presence in organic Shopping listings. These rules can be configured with different thresholds by product category, price point, or customer segment to ensure you're not unnecessarily restricting your catalog. The team also sets up monitoring to re-evaluate excluded products quarterly in case return patterns improve.
Apply product exclusions to Merchant Center
The growth team updates your Google Merchant Center feed to implement the exclusion rules, removing high-return SKUs from paid Shopping ad eligibility. This ensures your advertising budget focuses on products that customers actually keep, improving overall campaign profitability by eliminating the hidden costs of excessive returns. The team monitors feed health to ensure exclusions don't trigger disapprovals or negatively impact your account standing.
Use cases
Fashion retailer reduces ad spend on sizing problem items
ConvertMate's growth team implemented this workflow for a fashion retailer whose sizing inconsistencies across brands created 40% return rates on specific dress styles. By excluding the 15 highest-return SKUs from Google Shopping campaigns, the team reduced overall return processing costs by $8,200 monthly while maintaining ad visibility for properly-sized items. The client reallocated the saved ad budget toward their best-performing styles with sub-10% return rates, improving net profit margin by 18% across their paid search channel.
Electronics brand stops advertising defective product batches
ConvertMate's team helped an electronics retailer identify that a specific manufacturing batch of wireless headphones had a 35% return rate due to connectivity issues, compared to 8% for other batches. The growth team excluded the problematic SKU from Merchant Center while the client worked with their supplier on replacements, preventing $12,000 in wasted ad spend on a product generating negative net revenue. Once the quality issue was resolved and return rates normalized, the team re-enabled the SKU in the Shopping feed without manual intervention.
Home goods store eliminates advertising on customer expectation mismatches
ConvertMate's growth team analyzed return reason data for a home decor brand and discovered that certain furniture items had 30% return rates specifically due to size expectations not matching product photos. Rather than continuing to advertise these problematic SKUs, the team excluded them from Shopping campaigns and recommended the client improve product photography and dimension callouts. This reduced the client's refund processing volume by 22% while maintaining advertising efficiency on their core catalog of accurately-represented products.
Supplement brand excludes products with taste complaints
ConvertMate's team implemented return rate monitoring for a supplement brand and identified that three specific flavor variants had 28% return rates with customer complaints about taste, compared to 6% returns for other flavors. By excluding these variants from Google Shopping ads, the growth team helped the client avoid spending $6,400 monthly acquiring customers who would immediately request refunds. The client reformulated the problematic flavors and the ConvertMate team re-enabled them once return rates dropped to acceptable levels, ensuring advertising spend focused on products customers actually enjoyed.
Frequently asked questions
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exportLet our growth team optimize your Shopping feed based on return data
ConvertMate's growth team will analyze your Shopify return patterns, configure custom exclusion rules, and manage ongoing feed optimization to ensure your Google Shopping budget focuses on products customers actually keep. Available as fully managed service or self-service platform for teams with in-house expertise.