
Worked on the Shopify/extensions-templates repository to stabilize customer segmentation query handling by addressing a compatibility flaw in the Customer Segmentation Data Extension. Focused on updating Liquid templating syntax, the work involved modifying the 'products_purchased' filter to use the MATCHES operator and correcting the insertion of pipe characters for product IDs, ensuring alignment with new query parsing rules. This targeted bug fix improved the reliability of segmentation analytics and reduced the risk of misqueries in production environments. Leveraged skills in Data Extension and Liquid to enhance maintainability and accuracy within the query layer, contributing to more robust customer data segmentation.
Month: 2025-09 highlights for Shopify/extensions-templates focused on stabilizing customer segmentation query handling. Delivered a bug fix to align Liquid data-extension queries with the updated parsing rules, specifically for the Customer Segmentation Data Extension. The 'products_purchased' filter now uses MATCHES and the pipe character insertion for product IDs was corrected to align with new parsing requirements. This fix reduces misqueries, improves segmentation analytics reliability, and enhances maintainability of the query layer.
Month: 2025-09 highlights for Shopify/extensions-templates focused on stabilizing customer segmentation query handling. Delivered a bug fix to align Liquid data-extension queries with the updated parsing rules, specifically for the Customer Segmentation Data Extension. The 'products_purchased' filter now uses MATCHES and the pipe character insertion for product IDs was corrected to align with new parsing requirements. This fix reduces misqueries, improves segmentation analytics reliability, and enhances maintainability of the query layer.

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