Sporting goods retailers often discover broken product feeds only after campaigns die. Nightly validation across an 8,500-SKU catalog, AI-optimized titles and attributes for Google Shopping and Meta, and instant alerts on disapprovals keep disapproved products near zero.
Typical results
6
Disapproved SKUs, down from 340
+18%
Shopping ad click-through
+24%
Return on ad spend
4 hrs
Average disapproval fix time
Figures reflect typical results for this kind of automation.
The challenge
With 8,500 SKUs flowing from an aging e-commerce platform, feed errors were constant: missing GTINs, truncated titles, mismatched prices after every sale. At any moment around 340 products sat disapproved in Merchant Center — often bestsellers — and nobody noticed until a campaign's numbers collapsed. Disapprovals routinely went unfixed for two weeks.
Before and after
Products disapproved at any time
−98%Time to fix a disapproval
−99%Shopping ad click-through rate
+18%The automation
We built a nightly pipeline that validates every SKU against Google and Meta feed specifications before it ships. An OpenAI step rewrites weak titles and fills missing attributes — size, gender, material — following each channel's best practices, then the clean feed syncs to Google Shopping and the Meta catalog. The system polls Merchant Center hourly: any new disapproval triggers an instant alert with the exact reason and the affected product, so fixes happen the same morning.
How it works
- 01
Nightly validation
Every SKU is checked against Google and Meta feed specifications before the feed ships.
- 02
AI title rewrite
OpenAI rewrites weak titles and fills missing attributes — size, gender, material — per channel best practices.
- 03
Push to channels
The clean feed syncs to Google Shopping and the Meta catalog automatically.
- 04
Disapproval watch
Merchant Center is polled hourly; any new disapproval fires an alert with the exact reason.
- 05
Fix and resync
Corrected products resync within hours — before ad spend is wasted on dead listings.
Starts from
- 8,500-SKU catalog
- Nightly spec validation
Delivers
- Google Shopping feed
- Meta catalog sync
- Instant disapproval alerts
The impact
Disapproved products typically fall from a few hundred to single digits and stay there, with the average fix landing within four hours instead of two weeks. AI-optimized titles can lift Shopping click-through by about 18%, and with bestsellers never silently offline, return on ad spend often improves around 24% within a quarter.
Questions about this automation
What does the nightly validation check?
Every SKU is checked against the Google and Meta feed specifications before the feed ships: GTINs, title length, prices that changed during a sale and required attributes. Products that fail are corrected where the data allows it, and the rest are held back with the exact reason, so a broken listing never reaches the ad channels.
Can the AI change product information we want left alone?
The AI step only rewrites weak titles and fills missing attributes such as size, gender and material, following each channel's best practices. Prices, GTINs and stock levels always come from the store's own catalog. Rules can lock specific fields or product lines, and every rewritten title is logged so the team can review it.
How are new disapprovals caught after the feed is live?
Merchant Center is polled every hour. When a product is newly disapproved, the team gets an alert naming the product, the channel and the stated reason, and the corrected item resyncs once it is fixed. This is a multi-step build, usually rolled out in stages, starting with validation and alerts.