Analyze Shopify product returns by Klaviyo email segment
ConvertMate's growth team connects your Shopify return and refund data with Klaviyo customer acquisition segments to identify which email campaigns, flows, and list sources drive purchases that result in the highest return rates versus segments that generate customers who keep their orders. This analysis enables budget reallocation toward email strategies that maximize net revenue after accounting for return processing costs.
Request a demoHow your data flows
Export return and refund data
Pull complete refund transaction history including product SKUs, return reasons, refund amounts, and customer IDs from your Shopify store
Import email attribution sources
Extract customer acquisition data including campaign names, flow types, list sources, and email engagement metrics for each customer
Calculate return rates by segment
Match return transactions to email acquisition sources and calculate segment-specific return rates, refund costs, and net revenue impact
Tag high-return segments
Apply performance tags to campaigns and flows based on return rate analysis to inform future budget allocation decisions
Export return and refund data
Pull complete refund transaction history including product SKUs, return reasons, refund amounts, and customer IDs from your Shopify store
Import email attribution sources
Extract customer acquisition data including campaign names, flow types, list sources, and email engagement metrics for each customer
Calculate return rates by segment
Match return transactions to email acquisition sources and calculate segment-specific return rates, refund costs, and net revenue impact
Tag high-return segments
Apply performance tags to campaigns and flows based on return rate analysis to inform future budget allocation decisions
How it works
Export return and refund data from Shopify
ConvertMate's growth team extracts your complete Shopify refund transaction history including product SKUs, return reasons, refund amounts, and customer identifiers. This data includes both full and partial refunds across all order channels. The team captures return timestamps to correlate with email send dates and campaign windows.
Import email attribution sources from Klaviyo
The growth team pulls customer acquisition data from Klaviyo including the specific campaigns, automated flows, and list sources that originally acquired each customer. This includes email engagement metrics like open rates and click patterns that preceded the purchase. The team matches Klaviyo customer profiles to Shopify customer records using email addresses and customer IDs.
Calculate return rates by segment in ConvertMate
ConvertMate processes both datasets to calculate segment-specific return rates for each email campaign, flow type, and list source. The analysis identifies which email strategies drive purchases with return rates above 15% versus segments generating customers who keep their orders. The team calculates net revenue impact by factoring in refund processing costs, restocking fees, and lost shipping revenue for each segment.
Tag high-return segments in Klaviyo
The growth team applies performance tags to Klaviyo campaigns and flows based on return rate analysis, marking segments that generate excessive returns for budget reduction. These tags inform future campaign planning and budget allocation decisions. The team provides monthly reports showing which email strategies maximize net revenue after accounting for return costs.
Use cases
Fashion retailer identifies promotional email segments driving 40% return rates
ConvertMate's growth team discovered that a fashion brand's discount-heavy welcome series drove 40% return rates compared to 12% for educational content flows. The analysis revealed that aggressive first-purchase discounts attracted deal-seekers who ordered multiple sizes with intent to return most items. The team reallocated email budget toward product education flows that generated lower gross revenue but 3x higher net profit after return costs.
Home goods brand stops promoting high-return products to specific lists
The growth team identified that customers acquired through a specific lead magnet list returned furniture products at 35% rates versus 8% for blog subscriber segments. Analysis showed the lead magnet attracted customers seeking design inspiration rather than purchase intent. The team excluded high-return product categories from campaigns targeting this segment while maintaining promotions for low-return accessories and decor items.
Supplement company reallocates budget from high-churn email campaigns
ConvertMate's team analyzed a supplement brand's email performance and discovered that flash sale campaigns drove 28% return rates as customers tried products impulsively then requested refunds. In contrast, educational nurture sequences explaining ingredient benefits generated only 6% returns. The team shifted 60% of promotional email budget toward education-first campaigns that converted fewer customers initially but retained 4x more after accounting for returns and subscription cancellations.
Electronics retailer identifies campaigns attracting serial returners
The growth team discovered that specific abandoned cart campaigns drove purchases from customers with 50%+ historical return rates across multiple orders. These serial returners exploited liberal return policies by ordering premium electronics for short-term use then requesting refunds. The team implemented Klaviyo exclusion rules preventing high-return customers from receiving aggressive promotional emails while maintaining educational content access.
Frequently asked questions
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analyzeLet our growth team analyze your return patterns by email segment
ConvertMate's growth team will connect your Shopify return data with Klaviyo attribution sources to identify which email campaigns drive keeper purchases versus high-return orders. Get monthly analysis and budget reallocation recommendations that maximize net revenue after return costs.