How We Measure Net-New Coverage

How we measured it

A test you could run yourself.

STEP 01

Random sample of 1,500 contacts

We drew 1,500 contacts at random from the Datasigma index — not hand-picked. They span 1,481 distinct companies (about one contact per company), so the result isn't skewed by a handful of accounts.

STEP 02

Looked each one up on the platform

For every contact we queried the platform's People Search API by first name + company domain — the same way a rep prospecting that person would. We recorded whether the platform returned a matching person record.

STEP 03

Scored match vs. no-match

Matched = the platform returned a person at that company for that name. No match = the platform returned zero results. We did not count partial or wrong-person hits as matches.

STEP 04

Spot-checked the misses

We manually re-ran a random subset of the "no match" contacts by hand in the platform's own UI to confirm they were genuine gaps — not query errors on our side. The 64.2% reflects real absences from their database.

Even the matches were thin

Found isn't the same as usable.

Of the 537 contacts the platform did have, a large share were missing the details that make a contact actionable — no email or no direct dial on the record.

80%20% had none

of the platform's matches had an email

49%51% had none

of the platform's matches had a direct dial

Where the gap is widest

The misses aren't random. They cluster.

Breaking the same 1,500 lookups down by seniority shows a clear pattern — the platform thins out fastest on the owners and founders who actually sign off on deals.

Not found — by seniority

Owner / Foundern=140

81%

Managern=117

62%

C-suiten=80

61%

Directorn=145

56%

Seniorn=36

56%

VPn=40

52%

Even at VP-and-above, the platform is missing roughly half the people we index.

Was the sample fair?

Built to be representative, not cherry-picked.

A random draw across markets, industries, and seniority — so the number reflects the database as a whole, not a favorable slice of it.

1,500

contacts, randomly sampled

countries represented

1,481

unique companies

Nothing up our sleeve

Explore all 1,500 records.

The complete dataset from the run — search, sort, and filter every contact we tested against the platform's People Search API. First names and the company domain are shown; emails and direct dials are withheld. Results are as of August 2026.

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First name	Title	Company domain	Country	In their database?

Emails and direct dial numbers are withheld here for privacy — they're available in-app. Every Datasigma record links back to the exact page it was found on, so you can confirm the person is real.

In the interest of honesty

What this does — and doesn't — prove.

It's a sample, not a census. The 64.2% comes from a random draw of 1,500 contacts, so treat it as a close estimate of the true figure across the whole database — not an exact, fixed number.

The platform's coverage varies. Results can differ by region, plan tier, filters, and over time. This is a snapshot of what the platform returned at the time of testing (August 2026), not a permanent claim.

"No match" means no match on name + domain. A contact absent from one platform may still exist on another. This test measures overlap with a single major platform — which is why it runs higher than our broader "found on no other platform" figure.

You don't have to take our word for it. Every Datasigma contact links to the public page it was sourced from — so you can verify any record, and re-run this comparison against your own tools.

We ran a random 1,500 of our contacts through a leading prospecting platform.
64.2% weren't there.