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Advertising·5 min read

How to Vet TikTok Creators Before Paying (Using Competitor Ad Data)

Skip follower counts and fake engagement. Find TikTok creators already proven to convert by analyzing competitor ad campaigns spending real money.

How to Vet TikTok Creators Before Paying (Using Competitor Ad Data)

Why TikTok Creator Vetting Usually Fails

You check follower counts. You scroll through their recent posts. You look at comments and likes.

This is the standard vetting process. It fails because you’re looking at surface metrics. You have no idea if their audience actually buys anything.

A creator with 500K followers might have fake engagement. Their audience might not match your niche. Their content might get views but zero conversions.

You find this out after you pay them. The campaign underperforms. The budget is spent.

The real signal isn’t in their profile. It’s in the ad performance data of brands already paying them.


Find Competitors Spending on TikTok Creator Campaigns

Start with the brands already winning in your space.

Open Brandsearch Discovery. Set the platform filter to TikTok. Search for a competitor brand name or a product keyword from your niche.

You’ll see every TikTok ad they’re running. The filter shows you video ads, Spark Ads, and organic-style content they’ve turned into ads.

Look for the creator tag. TikTok ads that use a creator’s content show their TikTok handle directly on the ad. This is your starting list — creators a successful brand is already paying to use.

A brand spending $5K+/day on TikTok isn’t testing random creators. They’re scaling what works. Their ad library is a pre-vetted list.

Discovery interface filtered to TikTok platform, showing creator-tagged ads
Discovery interface filtered to TikTok platform, showing creator-tagged ads

Read the Ad Performance Signals

Seeing a creator in an ad is step one. You need to know if that ad is actually working.

Check the Running Days. An ad using a creator that’s been live for 60+ days is a strong signal. The brand kept spending. The creative kept converting.

Check the Phase. Filter to Winning or Scaling ads in Discovery. These are ads getting consistent budget because the ROAS justifies it. A creator featured in a “Winning” phase ad has proven they can sell.

Look for duplication. If a brand duplicates a creator ad 5 or 10 times, that’s a scaling signal. They found a winner and are pouring budget into it. That creator is a known converter.

This moves you from “this creator looks popular” to “this creator makes this brand money.” You’re using the brand’s bank account as your validation tool.

Gymshark's TikTok ad performance data showing creator content with 60+ running days
Gymshark's TikTok ad performance data showing creator content with 60+ running days

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Cross-Reference Creators Across Multiple Competitors

A creator appearing in one brand’s winning ad is good. A creator appearing in multiple winning ads across different brands is gold.

Go back to Discovery. Don’t search by brand now. Search by a broad niche keyword — “yoga pants,” “protein powder,” “skincare.”

Filter to TikTok, Winning phase, 25+ running days. Scroll through the results.

You’re looking for the same creator handle appearing in ads from different, unrelated brands. When two competing brands in the same niche both use a creator and both keep the ads live for months, the data is clear. That creator’s audience converts for that product category.

This cross-referencing eliminates niche misfit. It shows you creators who resonate with a specific buyer demographic, not just a general audience.


Build Your Vetted Shortlist from Performance Data

Your vetting criteria shifts from vanity metrics to performance data.

Proven runtime. Only shortlist creators featured in ads running 25+ days. A 7-day test tells you nothing. A 60-day ad tells you everything.

Scaling signals. Prioritize creators in duplicated ads or ads marked “Scaling” or “Winning” in Brandsearch. These are the money-printing creatives.

Niche validation. Value creators who appear for multiple brands in your category over a creator with one brand in a different niche.

Avoid red flags. A creator only in “Testing” phase ads (under 7 days) is unproven. A creator whose ads all died after 3-5 days failed to convert. Competitor ad data shows you the failures, too — the campaigns they killed.

Save these creator handles. Use Brandsearch Swipe Files to save the winning ads they’re in. You now have a shortlist backed by conversion data, not influencer marketing pitches.


The Free Starting Point

You don’t need a paid account to start this process.

Install the free Brandsearch Chrome Extension. When you land on a competitor’s TikTok profile or Shopify store, click the extension icon. You’ll see their estimated traffic, active ad count, and tech stack instantly.

It’s the fastest way to identify which competitors are serious about TikTok ads. A brand with 200+ active ads and 2M monthly visits is a good candidate for deeper research in Discovery.

From there, you can use the free Meta Ad Library and TikTok Creative Center to manually look up their ads, though you’ll miss the running days and phase data. For the full performance picture, Discovery’ filters are what turn browsing into a vetting system.


Your New Vetting Workflow

Stop looking at creator profiles first. Start with the money.

  1. Identify payers. Use Brandsearch Discovery to find 3-5 competitors spending heavily on TikTok ads in your niche.
  2. Extract creators. Scroll their active TikTok ads and note every creator handle tagged on ads running 25+ days.
  3. Validate performance. Cross-reference those handles against a broad niche search in Discovery. See which creators appear in multiple winning campaigns.
  4. Shortlist and reach out. Your pitch changes. You’re not asking for their rates blind. You’re referencing the specific competitor ads you saw them in that performed well. This aligns incentives immediately.

You stop guessing which creators might work. You start with a list of creators who already do work — proven by the ad budgets of brands you’re trying to catch.

Your next creator partnership starts with data, not a DM.

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