Foursquare

“We're not going to share your data with anybody without, you know we're just not going to share your data.”

“We've built, you know, sort of NLP models that can read You know, text and extract these key recommendations and figure out their sentiment.”

“We've seen that 73% of the time a person is going to a place that they've already been to, or 62% of the time they're going to a place that someone in their social network has been to before.”

“You know, walk into a neighborhood or a place, and we make sure that you don't miss the most important information about the place that you're at, but only if you're in unfamiliar territory.”

“The idea, right, is you walk into a venue, and without having to do anything, you get a notification like this on your phone.”

“We're, we have over forty million registered users. We're aware of fifty-five million places all over the world. We've collected 4.5 billion check-ins. And we get about six million check-ins per day.”

“With our recommendation product, Explore, 18% of people who see a result in Explore check in there within the first three days.”

“It's really hard to fake a user with a, like, verified GPS trail going to a business, like, and having these real friends on a social network. You know, like, that's just, it's a very hard thing to fake at the moment, although I, I'm upset to say that, because…”

“Less than one percent per hour is the, is what it does.”

“We went on CNBC a couple weeks before Chipotle's Q-one earnings, and I said in two weeks they're gonna report their earnings, and you're gonna see same store sales down 30% in the United States post the E. Coli scale. And they were like, why should we trust yo…”

“Apple had a few problems with their map rollout, as you may have heard. And so you know, they came to us to try to improve the map data set around the world outside the U.S.”

“If you use Uber and you say, like, I, you know, please pick me up at the, you know, Regency Cinema in Tribeca and take me to the Starbucks on 27th street, rather than typing addresses, That's all powered by Foursquare's global data set and they moved off Googl…”

“We power a lot of the location inside Bing. We power a lot of Apple Maps around the world. If you search in Uber or Tencent, Pinterest, and Snapchat, Samsung, Twitter, Garmin, these are among the 100,000 companies that now are using this technology set.”

“Over time you build a data set over billions of check-ins, you know the shape of every place, and you know the 95% confidence interval in terms of lat-long where someone is.”

“Twitter runs on our hosted platform, which does about a billion API calls a day, and if anyone in the world wants to tag a tweet with the location where they are standing, that uses all of our machine learning to understand where the phone is and tag the tweet…”

“We can help you map out a hundred million places in the world, and for us it's a 32nd problem to do what you just said and show when you're inside those businesses the right ad or the right, you know, geo filter for this restaurant, this small restaurant in LA…”

“We have about fifty million people who use the Foursquare and CitiGuide and the Swarm, or the Foursquare Swarm location-based game around the world each month across websites and our apps.”

“When we predicted Apple the first weekend of sales for the iPhone six S, and at the time Wall Street consensus was you know, around 11 to twelve million units the first weekend, and we said it would be 13 to 14, and they came out over 13.”

“The Sanders campaign used the data in Michigan, which was the primary that they won, to sort of figure out likely voters, and so we know who goes to colleges. We know, you know, which phones go to yoga studios and buy Subarus, you know, and so, like, we were a…”

“We do more check-ins each day than ever in the history of the company”

“We predicted that retail shopping Black Friday weekend would be down three and a half percent watching store traffic in the six weeks leading up to Black Friday last year. NRF came out after the weekend said it was down 3.7%.”

“We understand when phones move in and out of a hundred and five million businesses passively.”

“And so I think from our perspective, the biggest shift and most important shift and one that we're the most happy about is we're moving from this very personalized ID, so mobile identifiers and so forth to a more anonymized world where people are looking at th…”

“We operate in a 190 countries globally, You know, two hundred million global POI, or places of interest”

“What we think is unique other than basically Google in the world, which is human confirmation.”

“A lot of our customers want to build some of those capabilities natively, and so and many have tried, and most have failed, because it's a very, very hard technical problem.”

“Using these techniques just completely changes the aperture of who our customer is, right? Customer on the planet with a physical location, which is most businesses. Inside the business, it's now not the data science department. It's literally the finance depa…”

“I think the most interesting thing for us really is when the cost of inference models becomes highly efficient, that's where like, for us, that's probably the most valuable crossing over of a new platform, because most of our questions are real time in nature …”

“They're not even using, in most cases when we talk to our customers, they're not using data that they've created inside their own walls, because it's just too complicated.”

“Right now, we have so many customers that will buy data from us over very long periods of time, and often when they churn now, it's because they can't get to value. They can't build whatever they were trying to build, and a lot of that is because they don't ha…”

“Trying to put together SQL queries in such a manner to understand those interrelationships is virtually impossible, and honestly was part of the reason that you don't see a lot of the value derived when you buy the data, because you have to spend so much time,…”

“One analogy I like to use for the team internally is what we've been up to over the last three years is really similar in some sense to Amazon building AWS many moons ago. Right? Realizing they had built up a bunch of infrastructure. Hey, a bunch of customers …”

“Everything that we do is based on sort of three data primitive layers, right? Places in the world, users, and movement of those users in relation to place.”