Shopify data management and marketing attribution challenges

E-commerce businesses using Shopify face challenges regarding data accuracy and integration. Marketing platforms such as Meta Ads Manager, Google Ads, and Klaviyo often provide conflicting reports on revenue and conversion attribution. Because each platform uses different reporting logic and lookback windows, brands may struggle to identify the true customer journey, making multi-touch attribution (MTA) a necessary tool to distribute credit across multiple touchpoints.

Additionally, as Shopify stores scale, businesses often require more advanced data management than the standard dashboard provides. Since Shopify does not natively support SQL or permanent data ownership, integrating Shopify data with PostgreSQL databases is a common solution for performing complex queries and joining sales data with other business metrics like ad spend or support tickets. Tools like Coupler.io are used to automate these ETL processes without requiring manual coding.