Victor Szczerba, CEO of Yeti Data, discusses the company's enterprise customer count and go-to-market scale with host Nathan Latka.
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“So we have, we're less than half a dozen.”
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More from Victor Szczerba
Insight
Szczerba: Professional services revenue is a failure for a software company
“Quite frankly, we see professional services revenue as a fail.”
Victor SzczerbaNov 3, 2017▶ 12:23832: SaaS: Machine Learning and AI for Re-Engaging Customers, $250k ACV and $1.5m Raised
PredictionNot checkable as stated
Szczerba: $1M ARR will secure a $15M to $20M Series A valuation
“I think a good AIR at a million bucks is gonna get us a really nice Series A. Where you're selling 10, 20% of the company in good terms? 10, 20% of the company in good terms, you know pre-money valuation between the 15 to twenty-ish.”
Victor SzczerbaNov 3, 2017▶ 13:01832: SaaS: Machine Learning and AI for Re-Engaging Customers, $250k ACV and $1.5m Raised
Insight
Szczerba: Data products should avoid seat-based pricing to maximize customer value
“In fact, we love universal usage of our data with inside of a customer, right? The more they use, the more valuable we are to them. And so we don't want to put in any kind of artificial barriers and saying, oh my God, there's only this many people get these re…”
Victor SzczerbaNov 3, 2017▶ 2:58832: SaaS: Machine Learning and AI for Re-Engaging Customers, $250k ACV and $1.5m Raised
Disclosure
Yeti Data offered a 30-20-10% decaying discount on its convertible note
“So, 30% discount if you discount, if you came in in the first 30 days of fundraising, then 20% in the second day, and then 10% after that.”
Victor SzczerbaNov 3, 2017▶ 8:39832: SaaS: Machine Learning and AI for Re-Engaging Customers, $250k ACV and $1.5m Raised
AssertionNot checkable as stated
Szczerba: Yeti Data customers pay $250k to $500k annually
“Average customers is paying us around two 50 to 500 K a year.”
Victor SzczerbaNov 3, 2017▶ 2:45832: SaaS: Machine Learning and AI for Re-Engaging Customers, $250k ACV and $1.5m Raised
Opinion
Szczerba: Machine learning is standard actuarial science used for a century
“Machine learning is something very, very specific, and not very hocus pocus, right? I mean, machine learning was something that I don't know, Actuaries inside the insurance industry have been using for, you know, a hundred years.”
Victor SzczerbaNov 3, 2017▶ 4:29832: SaaS: Machine Learning and AI for Re-Engaging Customers, $250k ACV and $1.5m Raised
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