Truthset Secures $5M Series A Funding
Truthset, a frontrunner in data validation-as-a-service, has raised $5 million in Series A funding, signaling the next big leap in its mission to revolutionize consumer data accuracy.
This round, led by Data Point Capital and backed by over 20 industry insiders, highlights the growing recognition of Truthset’s potential in reshaping how advertisers, publishers, and consumers engage in the trillion-dollar digital ecosystem.
The challenge that Truthset tackles is one the advertising world knows all too well—big data is everywhere, but often, it’s not all that precise.
In a space where scale has often trumped accuracy, Truthset steps in with its big data platform that independently verifies consumer data against a database of over 1.27 billion hashed emails and 147 million households. Quite a feat, isn’t it?
CEO Scott McKinley, whose estimated net worth is rumored to hover around $10 million, shared that this investment comes at a crucial time when the financial landscape isn't exactly a walk in the park.
He said:
"At a time when the overall financing environment is stressed, support for Truthset from both institutional investors and industry insiders is a true testament to our work and mission,"
Truthset’s technology is already trusted by big names like Heineken and TelevisaUniversal, and McKinley, a former Nielsen executive, believes this boost in funds will take things to the next level.
The company plans to expand its product offerings, tackle identity resolution issues, and even the thorny problem of third-party cookie deprecation.
Plus, expect some new faces joining the team soon as strategic hires are on the horizon.
In an amusing twist, it seems that even the giants of consumer data—Experian, TransUnion, and Epsilon—have joined the party. These heavyweights have teamed up with Truthset under the aptly named Data Collective, which now benchmarks accuracy like never before.
With its fresh funding in place, Truthset is poised to continue shaking up the data world, one accurate segment at a time.