Sustainability

Return Behavior Mitigation

Personalize Messaging Based on Customer Return Patterns

Turn return behavior insights into powerful retention strategies. By identifying high-return customers early, you can send targeted communications that encourage more thoughtful purchases and reduce return rates.

For example, send gentle reminders about sizing guides before checkout or reward loyal, low-return customers with exclusive perks. This approach transforms a costly challenge into a customer satisfaction opportunity.

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Why Marketers Use Bloomreach for Segmenting by Return Behavior

Returns represent a significant cost drain for most retailers — processing fees, restocking costs, and lost revenue add up quickly. Bloomreach Engagement with Loomi AI automatically segments customers based on their return patterns, enabling you to create personalized strategies that address the root causes.

You can reduce return rates while maintaining positive customer relationships, turning a reactive cost center into a proactive retention strategy.

Sustainability and profitability impact

High return rates hurt both your margins and the planet. A simple banner thanking customers for mindful shopping encourages more intentional purchases. This simple personalization reduces unnecessary returns, cuts emissions, lowers operational costs, and improves customer satisfaction, turning responsible shopping behavior into both an environmental win and a profitability boost.

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Get Inspired: Run Personalized Campaigns Based on Return Patterns

Banner Notification

AI-Powered Segmentation

Banner Notification for Customers With High Return Rates

Prebuilt Use Case

Display encouraging messages like « Thank you for being environmentally aware and only buying what you need! ♥ » to customers with high return rates while they shop.

This positive reinforcement approach promotes thoughtful purchasing decisions, reduces return rates, and fosters a sustainable shopping culture. The banner addresses high return rates proactively by encouraging customers to consider their purchases more carefully before completing transactions.

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“This use case can significantly lower return rates and boost customer satisfaction. Don’t let returns become a pain point for your business.”

AI-Powered Segmentation Based On Return Behavior

Loomi AI automatically identifies serial returners by analyzing purchase and return patterns, grouping customers into high, mid, low, or never returned segments.

For example, a fashion retailer could use this segmentation to create personalized strategies:

High returners receive virtual styling sessions
Mid returners get exclusive discounts
Low returners see loyalty rewards
Never returners get appreciation messages

The result is reduced costs, improved profitability, and increased customer retention through targeted communication strategies.

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How It Works

Loomi AI analyzes each customer’s purchase and return history to identify patterns and behaviors that indicate their likelihood to return items in the future.

Customers are automatically segmented into distinct groups: high returners, mid returners, low returners, and never returners based on their historical behavior.

High returners receive proactive support communications like personalized size recommendations, virtual styling sessions, or detailed product information to prevent future returns.

Low returners receive positive reinforcement messages highlighting their smart purchasing decisions and may see loyalty rewards or early access offers.

Never returners get special appreciation messages and thank-you communications that acknowledge their loyalty and thoughtful buying behavior.

Web personalization displays contextual messages during shopping sessions — for example, environmental awareness messages for high returners encouraging thoughtful purchases.

All communications are automatically triggered and personalized based on the customer’s segment, ensuring relevant messaging that drives better purchasing decisions.

Plein air/Fitness Plein air/Fitness Retail 50%

Isadore augmente ses revenus via l'email marketing et diminue les retours avec Bloomreach Engagement

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Campaigns Built Using Return Behavior Insights

Isadore, a sustainable cycling apparel company, used Bloomreach Engagement’s weblayer to reduce ecommerce returns and environmental impact. When customers added multiple sizes of the same item to their cart, a popup offered sizing assistance from support teams.

This intervention increased cart removals from 40% to 69%, resulting in a 29% decrease in potential returns while supporting the brand’s sustainability goals.