Everything Jason Tan said on any show that made the record, most notable first. Each card names its show and opens the statement there.
Tan: Making Over $1M on Startup Equity Typically Requires Facebook-Scale Outcome
“You know, typically to make more than a million dollars at any company, it would require kind of a Facebook size outcome.”
Tan: Traditional rule-based fraud detection systems do not scale
“So this is the way that things are done, is really building these rule-based systems that do not scale, okay?”
Jason Tan: Email addresses containing digits have higher fraud rates
“If you have numbers in your email address, more likely to be a fraudster.”
Tan: Google generates $55B annually due to its search data lead
“They make fifty-five billion dollars a year, because they have so much data by being the number one search engine.”
Tan: Sift Science customers pay thousands up to $100,000 monthly
“Oh, it's probably going to be a in the minimum of a few thousand dollars per month. We have some customers paying us a 100,000 dollars per month.”
Tan: Max Levchin personally invested $1M to lead Sift Science seed round
“He wanted to lead our seed round. So he put a million dollars of his own money in and we raised a total of 1.6 million dollars back in September of 2001.”
Tan: Sift Science has raised approximately $54 million in total funding
“Oh, we raised about fifty four million dollars.”
Tan: Sift Science has approximately 500 paying customers
“We have, we're lucky to have quite a few just about 500”
Sift Science has more than doubled revenue annually for past few years
“We've been more than doubling our revenue for the last few years.”
Tan: Sift Science maintains an LTV to CAC ratio over 3:1
“I think that our LTVCAC is more than three to one.”
Tan: Sift Science achieves CAC payback in under 18 months
“I mean, ours is sub 18 months.”
Tan: Sift Science revenue churn is under 1%
“Our churn is, our revenue churn is sub one percent.”
Tan: Sift Science annual logo churn is under 3%
“Oh, I think you're sort of sub-three percent.”
Tan: Sift Science has 25 employees and 175 customers including Twitter and Uber
“We have 25 people out in San Francisco just closed our Series B recently, and we have about a 175 customers around the world, including Twitter, Square, Match.com, OpenTable, Uber, Airbnb, Kickstarter and others.”
Jason Tan: Gmail domains carry lower fraud risk than obscure domains
“Gmail is much more trustworthy than some of these other domains, right?”
Jason Tan: Sift Science builds global models across 175 customers
“We build this global model that learns across all of our 175 global customers”
Tan: Sift Science charges per billable transaction or account creation
“In terms of how we make money, we charge per billable event, and that usually ties to a significant transaction or an account created on our customer's website.”
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