Every affiliate channel plan rests on one number nobody has actually measured: how many qualifying publishers exist in the vertical. We size it against 120M+ classified domains, so you fund the channel against evidence instead of a hopeful guess.
Headcount, tooling budget, and forecast payouts all scale off "how many good publishers are out there." Guessing low kills a viable channel in the planning meeting; guessing high burns a year of quota. A measured TAM removes the guess.
A recruiter can work through a finite list. Knowing whether the addressable set is 8,000 or 180,000 publishers tells you how many recruiters, and for how long.
A finance case built on a measured universe and a labeled yield projection survives scrutiny. "We think there are a lot of blogs" does not.
Deciding between two categories to launch? Measured TAMs put them on the same axis, so you enter the market with the deeper uncontested bench first.
The famous portals everyone already recruits are a rounding error against the independent long tail. When you count the whole web instead of a network's enrolled list, the magnitude shifts. These are labeled estimates from our classification database, not guarantees.
Even a narrow sub-vertical in a single market typically clears the low tens of thousands of qualifying publishers once the long tail is counted.
A full category — travel, personal finance, home & garden — regularly sizes into the hundreds of thousands of addressable publishers.
Broad, multi-country scopes push the pre-screen universe into the millions of domains — the reference travel run alone identified 1.73M vertical domains.
A TAM is only as good as the method behind it. Every figure we hand over carries its calibration basis, so the number can be defended in a planning review.
Your vertical maps to categories in the 120M+ classified-domain database. We pull the full in-scope domain count — the raw universe, including the long tail no directory profiles.
TAM is not "every domain" — it is every domain that could plausibly qualify as a publisher. We set that bar as an explicit signal set, agreed with you up front.
A representative random slice is LLM-screened against the filter. Because it is random, the fit rate it measures projects cleanly to the whole category.
Fit rate times category count gives the addressable estimate. Every projected figure is labeled an estimate and shipped next to the slice size it came from.
We break the number down by country, language, sub-niche, and monetization signal, so you can see where the reachable capacity actually concentrates.
The TAM feeds a recruitment-capacity model: publishers per recruiter, expected coverage per quarter, and the yield you can realistically bank.
An illustrative TAM sheet for a broad consumer vertical across three markets. Category counts come from the classification database; qualifying counts are estimates extrapolated from a reviewed slice.
| Segment | Category domains | Qualifying publishers (estimate) | Basis |
|---|---|---|---|
| Market A — English | ~1,100,000 | ~140,000 | 1,000-domain reviewed slice |
| Market B — German | ~380,000 | ~44,000 | 1,000-domain reviewed slice |
| Market C — French | ~310,000 | ~33,000 | 1,000-domain reviewed slice |
| Total addressable | ~1,790,000 | ~217,000 (estimate) | weighted across slices |
The same measurement method ran across the travel vertical for a large-scale production run on our own classification platform. It is the anchor for how a full-web TAM behaves at scale.
Reference: a large-scale production run on our own classification platform. Your vertical's TAM is measured on your scope and your reviewed slice.
Not a single headline number, but a defensible model with the parts a planning committee will ask for.
Addressable publisher estimates split by country, language, and sub-niche — each cell labeled an estimate with its slice basis attached.
The reviewed-slice fit rate and precision figure that every extrapolation rests on, so the number is auditable rather than asserted.
Share of the TAM showing affiliate links, display ads, or neither — reachable capacity you can already monetize versus greenfield.
Publishers-per-recruiter and coverage-per-quarter assumptions turning the TAM into a staffing and forecast plan you can fund.
The free pilot runs the full pipeline on your vertical and returns your first 20 qualified publishers plus a full-run yield projection — the evidence a TAM decision needs. No cost, no obligation.
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