Kevin Tan

Executive in Residence, Progress Partners · 1 appearance on the record.

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Kevin Tan co-founded the audience data marketplace Eyeota in 2010 and served as its founding CEO until 2019, leading its global expansion prior to its acquisition by Dun & Bradstreet. Across a 30-year career in digital data and advertising, he also founded iamasia and directed regional growth for firms including comScore.

10statements → 6claims → 1claims resolved → 3.8/5average certainty → 1.2/5average debate potential →

0 supported 0 partly supported 1 contradicted 5 not checkable as stated how the 6 claims stand · each chip opens the sources

6 assertions · 4 disclosures · every statement was checked. The predictions and assertions are the 6 claims: statements the public record can support or contradict. 1 is resolved, and 5 name no date, number or outcome precise enough to check. Everything else (opinions, insights, what ifs, disclosures) can never be settled by the record, so it carries no assessment.

The record, in short

What the tape says about how Kevin argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.

Their most notable contradicted claim

Assertion Contradicted
Eyeota integrates into over 100 global audience data platforms
“We're integrated into over a hundred of the world's leading platforms that you use assume audience data. So those can be DSPs, they can be DMPs, they can be MarTech platforms, they can be, you know, content delivery systems, they can be native ad platforms, mo…”
Kevin Tan May 8, 2018 ▶ 6:29 1018 Why He's Making Leap from AdTech to Data As A Service Business Model

How they sound: not measured why? →

We measure speaking style by listening to the audio itself, and a fair number needs at least 2,000 words from one person on tape we have measured. There is too little of Kevin Tan on measured tape to publish a rate. This says nothing about how they speak.

Everything Kevin Tan said on Top Founders that made the record, most notable first. Filter by type, assessment or year in the ledger →

Assertion Not checkable as stated
Eyeota handles the most offline data onboarding outside the US
“Another part of our business is the onboarding of offline data, and we're the company that does the largest amount of this outside the United States, although we do it in the U.S. Now.”
Kevin Tan May 8, 2018 ▶ 3:09 1018 Why He's Making Leap from AdTech to Data As A Service Business Model
Assertion Not checkable as stated
Eyeota transactional revenue resists erosion from brands bringing media buying in-house
“We're not seeing it because our data is being sold not only through advertising and media and to a whole bunch of other channels where It makes sense for them to buy it on a use case by use case basis. So, you know, PM or the like. So that part of our business…”
Kevin Tan May 8, 2018 ▶ 12:00 1018 Why He's Making Leap from AdTech to Data As A Service Business Model
Assertion Not checkable as stated
Eyeota tracks 3.5 billion unique users across 30,000 global publishers
“We track 3.5 billion uniques across the planet and our data is based out of a variety of different things. I suppose the base levers, base level is based on relationships with over 30,000 publishers around the globe.”
Kevin Tan May 8, 2018 ▶ 2:23 1018 Why He's Making Leap from AdTech to Data As A Service Business Model
Assertion Contradicted
Eyeota integrates into over 100 global audience data platforms
“We're integrated into over a hundred of the world's leading platforms that you use assume audience data. So those can be DSPs, they can be DMPs, they can be MarTech platforms, they can be, you know, content delivery systems, they can be native ad platforms, mo…”
Kevin Tan May 8, 2018 ▶ 6:29 1018 Why He's Making Leap from AdTech to Data As A Service Business Model
Disclosure
Eyeota's fastest-growing revenue streams are Data as a Service and SaaS
“The fastest growing areas are the areas where we're selling data as a service, or we're selling things on a SaaS basis where we're distributing data or doing onboarding as a service.”
Kevin Tan May 8, 2018 ▶ 8:52 1018 Why He's Making Leap from AdTech to Data As A Service Business Model
Assertion Not checkable as stated
Eyeota has thousands of advertisers buying its data monthly
“We have Thousands and thousands of advertisers buying our data on a monthly basis.”
Kevin Tan May 8, 2018 ▶ 10:17 1018 Why He's Making Leap from AdTech to Data As A Service Business Model
Disclosure
Eyeota's audience data marketplace remains its primary revenue driver
“I'd say probably the leader for us is where we started from seven years ago, globally, that was building out an audience data marketplace.”
Kevin Tan May 8, 2018 ▶ 5:39 1018 Why He's Making Leap from AdTech to Data As A Service Business Model
Disclosure
Eyeota raised $12 million total through its Series A round
“You know, the last, as of the Series A, we'd raise twelve million dollars.”
Kevin Tan May 8, 2018 ▶ 7:28 1018 Why He's Making Leap from AdTech to Data As A Service Business Model
Disclosure
Founders bootstrapped Eyeota using proceeds from the sale of Adify
“Initially, we bootstrapped because we'd all made money off of the sale of the previous company.”
Kevin Tan May 8, 2018 ▶ 13:29 1018 Why He's Making Leap from AdTech to Data As A Service Business Model
Assertion Not checkable as stated
Eyeota's SaaS customer count doubled over the past two years
“In terms of total customers, I mean, you know, I think the growth has probably doubled over the last two years since we started doing this.”
Kevin Tan May 8, 2018 ▶ 15:07 1018 Why He's Making Leap from AdTech to Data As A Service Business Model

Appearances (1)

EpisodeDateSpeaking time
1018 Why He's Making Leap from AdTech to Data As A Service Business Model May 8, 2018 11m
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