Whitelabeler Revenue Estimator

See roughly how much a Shopify store is making. Count their active ads in the Meta Ad Library, fill in what you can see on their site, and get a monthly revenue range. Everything runs on published ecommerce benchmarks. Treat the result as a ballpark.

What you can see

Only the ad count is required. The rest sharpens the estimate.

Store or brand name Open the Meta Ad Library

Active ads on Meta

The "results" number at the top of their Ad Library page with "Active" selected.

Oldest active ad has run

Countries targeted

Main product price ($)

Niche

If you have them

Either of these gives the tool a second opinion to check against.

Monthly website visits

Known monthly Meta spend ($)

Replaces the ad-count guess in step 1 when filled in.

Estimated monthly revenue

Enter the number of active ads to see an estimate.

How the math works

The estimate works backwards from advertising. First it guesses monthly Meta spend from the number of active ads, adjusted for how long the oldest ad has been running (long-running ads are usually profitable ones getting budget) and how many countries they're in. Then it assumes Meta is about 70% of their total ad budget. Last, it divides total ad spend by the share of revenue that stores in that niche typically spend on ads.

Active ads	Assumed Meta spend / month
1	about $1.5k
5	about $5k
20	about $20k
50	about $55k
150	about $180k
400	about $450k

Counts between these points are smoothed. The 20-ad level lines up with published data showing advertisers with 20+ active ads usually spend $10k+ a month; the rest of the curve is an estimate and should be tuned against stores with known revenue.

Ad spend as a share of revenue: apparel 36%, health and wellness 51%, pets 52% and automotive 27% come from published DTC benchmarks. Beauty, home, gadgets, jewelry, sports and other are set between 33% and 40%, in line with the typical 20 to 35%+ range for DTC brands.

The traffic check uses visits × conversion rate × average order value, with conversion between 1% and 2.5% and average order value set at 1.2× the main product price to allow for bundles and upsells.

Ad count is a noisy signal. Some brands run dozens of ads on a small budget, others run a handful with big spend behind them. The range is wide on purpose.

These numbers are estimates only, based on public signals and industry benchmarks. They are not the store's actual revenue.

Whitelabeler Revenue Estimater