01
Sync Shopify product data with ad catalogs
Start from the catalog surfaces that feed paid channels, not just the storefront product page alone.
Back to product playbook
Recover paid growth when winning products get blocked by catalog or feed issues
Use Spark to monitor catalog sync status, rejected items, missing fields, and product-to-ad performance so the team can fix the feed issue that is suppressing revenue, not just guess at the campaign level.
Product
Spark: AI Store Assistant
Category
Catalog
How it works
See how this workflow runs from signal to action so the team can actually reach the intended outcome.
02
Review feed errors and rejected items
Identify missing images, field mismatches, pricing issues, rejected products, and other catalog health problems.
03
Prioritize the fixes by business impact
Use Spark to connect product issues to ad performance so the team fixes what matters most first.
Frequently asked questions
Frequently asked questions
Is this just a feed error list?
No. The stronger use case is that Spark helps connect feed problems to actual product and ad performance, so the team knows what to repair first.
Why is this a Spark use case instead of a generic feed app page?
Because the real operator job is not only fixing fields. It is understanding how catalog quality, ad delivery, and product performance connect.