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TAM coverage map

TAM coverage map is licensed CC BY 4.0. Attribution: Katafacts (katafacts.com).

1 · What it is

What it is

A TAM coverage map answers two separate completeness questions honestly, not one blended impression. First, list coverage: of your whole total addressable market, how much is even tracked as a named target account? Second, Market visibility: within the accounts you do track, how completely does each one's buying-group roles have a real, named contact — not just a company logo on a slide? Both are computed from what you actually enter, never asserted. Market visibility is specifically the second number — the contacts you actually have against the contacts you need, not a vague sense of 'good coverage.' Every tracked account with zero real contacts is named directly as a dark account, and every buying-group role that's systemically missing across your tracked accounts is flagged the same way. This matters because B2B contact data decays fast — a contact found and never revisited stops being real coverage within months, not years — so this is meant to be a living, re-measured map, not a one-time snapshot.

2 · When to use it

When to use it — and when not to

Use it when

You have a rough sense of your TAM's size and want an honest measure of how much of it is even on your radar as a real target account, not just a number in a slide.
You want to know which buying-group roles you're systemically missing across your tracked accounts, before that gap costs a deal at the worst possible moment.
You're planning where to invest in data enrichment or outbound effort and want a real, computed priority list instead of a hunch.

Not when

You need to calculate your TAM itself — firmographic filtering, technographic signals, market sizing are a separate discipline; this tool takes a stated TAM figure as given and starts from there.
You don't have any real contacts yet for any account — that's a fine starting point, but list the accounts and roles first and let the map show 0% honestly rather than padding it with guesses.
Your target list is small enough to track from memory without losing anyone — a handful of accounts doesn't need this structure.

3 · How to fill it in

How to fill it in

Target units: Describe your segment roughly — a first-pass target-account list gets drafted, each with a segment/tier. Add or correct with the real accounts you're actually tracking; the gap between this list and your stated TAM is itself a real finding.
Known contacts: Only enter a contact where you actually have a real, named person at a real account and role. An empty cell is a real gap — never invent a plausible-sounding name to make coverage look better than it is.
Coverage: Computed for you from your target accounts, buying-group roles, and known contacts — nothing to enter here.
Narrative: Drafted from the map actually built.
Next steps: What will you do about a dark account or a systemic role gap, ranked by impact and effort, owned and dated.

4 · What good looks like

What good looks like

The example below is Beacon Analytics' own mid-market logistics segment — only 10 of 40 addressable accounts are actually tracked, one tracked account has no contact at all, and Procurement is honestly named as the most systemically under-covered buying-group role rather than smoothed over.

Same example, as a downloadable xlsx workbook.

Download .xlsx

Stakeholder coverage map · Mid-market logistics / RevOps segment

Beacon Analytics — mid-market logistics TAM coverage map

Sam Cole, Sales Enablement · 2027-02-10

Team: Priya Anand, RevOps · Sponsor: Renee Okafor, VP Sales

Target units

Northline Freight
Mid-market
2 of 4 roles covered
Meridian Logistics
Mid-market
2 of 4 roles covered
Cascade Transport
Enterprise
4 of 4 roles covered
Harbor Fleet Co
Mid-market
1 of 4 roles covered
Union Freightways
Mid-market
1 of 4 roles covered
Delta Cargo Systems
Enterprise
2 of 4 roles covered
Apex Distribution
Mid-market
Dark
0 of 4 roles covered
Riverside Logistics
Mid-market
2 of 4 roles covered
Summit Carriers
Enterprise
1 of 4 roles covered
Vantage Freight
Mid-market
2 of 4 roles covered

Known contacts

Northline's VP RevOps — Champion at Northline Freight (engaged)
Northline IT lead — Technical evaluator at Northline Freight (identified)
Meridian Ops Director — Champion at Meridian Logistics (identified)
Meridian VP Finance — Economic buyer at Meridian Logistics (identified)
Cascade RevOps Lead — Champion at Cascade Transport (engaged)
Cascade CFO — Economic buyer at Cascade Transport (engaged)
Cascade IT Director — Technical evaluator at Cascade Transport (engaged)
Cascade Procurement Manager — Procurement at Cascade Transport (engaged)
Harbor Ops Manager — Champion at Harbor Fleet Co (identified)
Union Freightways IT — Technical evaluator at Union Freightways (identified)
Delta RevOps Manager — Champion at Delta Cargo Systems (engaged)
Delta Procurement Lead — Procurement at Delta Cargo Systems (identified)
Riverside Ops Lead — Champion at Riverside Logistics (identified)
Riverside IT Manager — Technical evaluator at Riverside Logistics (identified)
Summit CFO — Economic buyer at Summit Carriers (identified)
Vantage RevOps Lead — Champion at Vantage Freight (engaged)
Vantage IT Lead — Technical evaluator at Vantage Freight (engaged)

Coverage

Scope size

40 target accounts

Tracked units

List coverage

25%

Market visibility

42.5% (17 / 40)

Dark units

Economic buyer

3 / 10 units

Champion

7 / 10 units

Technical evaluator

5 / 10 units

Procurement

2 / 10 units

Dark units

Apex Distribution

Narrative

Only 10 of the segment's 40 addressable accounts are actually tracked with any real contact work — a 25% list-coverage gap before contact coverage even enters the picture. Within those 10, contact coverage across the four buying-group roles sits at 42.5% (17 of 40 cells). Procurement is the most systemically under-covered role — a named contact at just 2 of 10 tracked accounts — narrowly ahead of Economic buyer at 3 of 10, both real gaps worth a targeted enrichment push rather than assuming they'll surface on their own. Apex Distribution has no contact at all yet. Northline Freight — the deal already in motion — still has no Economic buyer contact here either, consistent with its own mutual action plan's still-unowned CFO sign-off milestone.

Next steps

Prioritize identifying and reaching the remaining 30 untracked accounts in the segment, starting with the highest-fit tier.
Only 10 of 40 addressable accounts are tracked — 25% list coverage · Impact: high · Effort: high · Sam Cole · 2027-03-15
Run a targeted data-enrichment pass specifically for Procurement and Economic buyer contacts across the 10 tracked accounts.
Procurement covered at only 2 of 10 accounts; Economic buyer at 3 of 10 · Impact: high · Effort: medium · Priya Anand · 2027-02-28
Get any named contact at Apex Distribution before the next pipeline review.
Apex Distribution — no known contact at all · Impact: medium · Effort: low · Sam Cole · 2027-02-20

5 · Common mistakes

Common mistakes

Treating a company name on a target list as real coverage.
An account with no named contact behind it is a dark account, not a covered one — a long target list isn't the same thing as real reach into the market.
Inventing a plausible-sounding contact to make a gap look filled.
A fabricated name defeats the entire point of this tool — the honest gap is the useful signal, and a fake one just moves the discovery of the real gap to a worse moment, usually mid-deal.
Treating a stale, never-reverified contact as real coverage.
B2B contact data decays roughly 2% a month — a contact found six months ago and never checked again isn't reliable coverage today, which is exactly why this needs to be a re-measured map, not a one-time exercise.

6 · What it connects to

What it connects to

upstream

downstream

Discovery call standard work
A newly-identified contact on this map is exactly what turns into a real discovery call.
Value hypothesis
A fully-covered buying group is what a value hypothesis needs before it's built on real evidence instead of a guess about who cares and why.

7 · Where AI helps

Where AI helps

Judgement — stays yours

Deciding whether a drafted target account or buying-group role actually reflects the real segment
Deciding which dark account or role gap to chase down first

Analysis — AI helps

Drafting a target-account list and buying-group roles from a rough description of the segment
Drafting the narrative from the map actually built

Drudgery — automated

Computing list coverage and Market visibility percentages
Flagging dark accounts and tallying role gaps
Exporting to xlsx in the house format

9 · Rate this kata