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I Build Automated Product Feed Exports for Ad Platforms
Service description
When a store catalog changes every day, manually re-exporting product data for advertising campaigns quickly turns into a routine that eats hours and still leaves feeds out of date. I build automated feed pipelines that pull your product data, prices, and stock levels directly from your store or database and reformat them into whatever structure the advertising platform expects, whether that is XML, CSV, or JSON.
Once the pipeline is in place, the feed refreshes itself on a schedule you choose, so a price change or a sold-out item is reflected in your ads without anyone touching a spreadsheet. I pay close attention to field mapping, category matching, currency and availability formatting, and character limits, because a rejected feed usually comes down to small formatting mistakes rather than missing data. I also add validation so broken rows get flagged instead of silently breaking the whole feed.
Every setup is tailored to the platform and catalog size involved, and I document the schedule and structure for easy future changes. Typical work includes:
— connecting to your store, database, or spreadsheet source
— mapping fields to the required feed format
— setting an update schedule matching your assortment turnover
— adding validation and error alerts for broken rows
— testing the feed against platform requirements before launch
Once the pipeline is in place, the feed refreshes itself on a schedule you choose, so a price change or a sold-out item is reflected in your ads without anyone touching a spreadsheet. I pay close attention to field mapping, category matching, currency and availability formatting, and character limits, because a rejected feed usually comes down to small formatting mistakes rather than missing data. I also add validation so broken rows get flagged instead of silently breaking the whole feed.
Every setup is tailored to the platform and catalog size involved, and I document the schedule and structure for easy future changes. Typical work includes:
— connecting to your store, database, or spreadsheet source
— mapping fields to the required feed format
— setting an update schedule matching your assortment turnover
— adding validation and error alerts for broken rows
— testing the feed against platform requirements before launch
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