Deep catalog
104 active listings, with three no-rinse grooming bundles positioned as the growth products: a tear-stain remover, a shampoo + towel kit and a shampoo + gloves kit.
The shop had 264 affiliates, 114 shoppable videos and a running ad campaign. In 30 days it made one sale. We audited the Seller Center end to end — products, affiliate, ads, creative — and produced a full performance audit plus a per-video creative scorecard.
104 active products, a funded ad balance, an affiliate program with hundreds of creators and a product line built for demo-ready videos. On the surface, all the pieces of a working TikTok Shop.
104 active listings, with three no-rinse grooming bundles positioned as the growth products: a tear-stain remover, a shampoo + towel kit and a shampoo + gloves kit.
264 affiliates and 114 shoppable videos in rotation — more creative volume than most shops ever assemble.
A GMV Max campaign running with a $50/day budget and a funded account balance.
The owner believed three campaigns were running, one per bundle, with nine Spark Ads behind them. The audit found something different.
Activity was mistaken for performance. Videos, affiliates and campaigns existed, so the account looked busy — but nothing connected views to trust to checkout, and no one had audited the funnel beneath the surface.
This describes what the audit found, not an opinion about the shop's potential.
Two deliverables: a performance audit across the whole account, and a second document scoring the actual videos in rotation.
Seller Center analytics, product-page funnels, stock and listing quality, pricing vs discount depth, and the shop's review base — SKU by SKU for the three growth bundles.
GMV Max configuration, budget vs delivery, ROI target behavior, and the finding that two of the three believed campaigns did not exist as standalone campaigns at all.
Open-collaboration setup, the 264-affiliate / 114-video pool, and creator-attributed GMV per bundle — including the ones that produced nothing.
Every shoppable video reviewed and scored on hook, product clarity and call to action, with its real viewer count — so the client could see exactly which creative patterns were getting reach and which were converting.
Two ad accounts under the business center, one empty; payment state; security tasks outstanding; and TikTok's own health panel read back in plain language.
The report separates causes from symptoms: creative supply, review/trust gaps and ROI-target throttling — each with the evidence next to it, so fixes can be ordered by likely impact.
All figures below were read directly from the client's TikTok Seller Center and Ads Manager for the 30-day window, and appear in the delivered audit.
These are the client's own platform numbers, assembled and interpreted in the audit. They describe the account at audit time, not a before/after result of our work.
Seller Center, Ads Manager and Affiliate Center data exported SKU by SKU for the audit window.
Claims checked against the platform's own numbers — campaigns, spend, GMV and attribution.
Every video in rotation reviewed on hook, product clarity and CTA, with viewer counts attached.
A plain-language document that separates causes from symptoms and orders fixes by likely impact.
Where data could not be read (such as bot-blocked product-editor pages), the report says so and explains what the client should pull manually instead of guessing.
This engagement delivered the audit and scorecard. We do not claim the shop's metrics changed as a result — the fixes were the client's to run.
The numbers describe a 30-day window at audit time. TikTok Shops move; a single snapshot is a diagnosis, not a permanent verdict.
Where Seller Center did not expose data — per-ad CTR inside an automated campaign, for example — the audit marks it unavailable instead of estimating.
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