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Verslay
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Marketing & Ads

Catalog Feed & Ads Health

One audit for the seam between your catalog and your ads: missing SKUs, disapproved ads, and price mismatches, ranked by money.

Feed drift silently taxes shopping campaigns — products drop out of feeds, prices go stale, ads point at dead SKUs. This makes the seam visible and fixable in one run.

Best forB2BB2b2cB2C
Agents5 required
Duration3-5 minutes

One audit for the seam between your catalog and your ads: missing SKUs, disapproved ads, and price mismatches, ranked by money. Feed drift silently taxes shopping campaigns — products drop out of feeds, prices go stale, ads point at dead SKUs. This makes the seam visible and fixable in one run.

How it runs

Multi-agent orchestration — here's the flow, step by step.

01

Pull the full sellable catalog: SKU, title, price, stock state, image presence, and category. This is the source-of-truth product set.

ecommerce scanner
01

Pull the promoted-product side from every connected ad platform: which SKUs are in live feeds or campaigns, their approval statuses, advertised prices, and any disapproval reasons.

ads scanner
02

Diff the two sets: SKUs missing from the feed entirely, SKUs advertised at stale prices, ads pointing at out-of-stock or discontinued products, and disapproved ads grouped by reason. Quantify lost coverage and wasted spend per gap.

data analyst
03

For each fixable gap, draft the concrete fix: feed field corrections, price sync needed, which ads to retire vs which products to add. Rank by revenue coverage impact.

catalog optimizer
04

Deliver the health report: coverage score, gap table with revenue at risk, ranked fix list, and the disapproval digest. Call verslay_memorize to store the coverage baseline for next-run comparison.

executive briefing writer

Required Agents

5
  • ecommerce-scanner
  • ads-scanner
  • data-analyst
  • catalog-optimizer
  • executive-briefing-writer

Connections

Required

googleshopify

What it does

  • Feed-vs-campaign diff at SKU granularity — the full promoted-coverage picture
  • Missing SKUs, stale prices, and ads-on-out-of-stock named explicitly
  • Disapproval reasons grouped and counted, not buried in platform UIs
  • Every gap quantified in revenue coverage or wasted spend
  • Coverage baseline stored so the next run shows movement

Example prompt

Audit my product feed against my live ad campaigns — what's missing, disapproved, or priced wrong?

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