why aren't all 33 resolved? a statement only gets an assessment when the public
record can support or contradict it. opinions and what-ifs never can, and 0 checkable
ones are still open, waiting for their date. predictions held up or didn't;
assertions are supported or contradicted. on every card:
▮▮▮▮▮ certainty ·
▮▮▮▮▮ debate potential. speakers are clickable
Assertion Supported
Uber dropped Google Maps for Foursquare to power venue search
“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…”
Assertion Not publicly verifiable
Glueck: Bernie Sanders' campaign used Foursquare data to target Michigan voters
“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…”
Assertion Not checkable as stated
The location data industry is shifting from mobile IDs to anonymized aggregates
“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…”
Assertion Supported
Foursquare Predicted Chipotle's Q1 Sales Drop Within 0.3% Using Location Data
“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…”
Assertion Supported
Apple used Foursquare data to improve international maps after botched rollout
“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.”
Assertion Not checkable as stated
Only Foursquare and Google use human confirmation for location data
“What we think is unique other than basically Google in the world, which is human confirmation.”
Assertion Not checkable as stated
Most enterprise customers fail when trying to build native location attribution
“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.”
Insight
AI shifts spatial data usage from data science to general business teams
“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…”
Insight
Cheaper AI inference models will unlock real-time spatial data queries
“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 …”
Assertion Not checkable as stated
Enterprise clients rarely use their own internal location data due to complexity
“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.”
Assertion Not checkable as stated
Enterprise customers churn from raw data because they cannot derive value
“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…”
Insight
Standard SQL queries are virtually impossible for complex location data analysis
“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,…”
Insight
Foursquare's platform strategy resembles Amazon building AWS
“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 …”
Assertion Supported
Foursquare location technology powers Apple Maps, Uber, Bing, and 100,000 others
“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.”
Assertion Partly supported
Glueck: Foursquare outpredicted Wall Street on iPhone 6s launch sales
“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.”
Assertion Not checkable as stated
Glueck: Foursquare's daily user check-ins hit an all-time high in 2017
“We do more check-ins each day than ever in the history of the company”
Assertion Not checkable as stated
Foursquare passively tracks user phone movements across 105 million businesses
“We understand when phones move in and out of a hundred and five million businesses passively.”
Disclosure
Foursquare commits to not sharing raw user location data with third parties
“We're not going to share your data with anybody without, you know we're just not going to share your data.”
Assertion Not checkable as stated
Foursquare data reveals 73% of venue visits are to previously visited places
“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.”
Assertion Not checkable as stated
Faking Foursquare accounts with verified GPS trails and social graphs remains difficult
“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…”
Assertion Supported
Foursquare tracks 200 million points of interest across 190 countries
“We operate in a 190 countries globally, You know, two hundred million global POI, or places of interest”
Disclosure
Foursquare builds its products on places, users, and user movement
“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.”
Assertion Not checkable as stated
Foursquare maps venues within a 95% confidence interval using check-in data
“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.”
Assertion Not checkable as stated
Foursquare processes one billion daily API calls to power Twitter location
“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…”
Assertion Not checkable as stated
Glueck: Foursquare can map 100 million places worldwide for venue targeting
“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…”
Assertion Not checkable as stated
Glueck: Foursquare reaches 50M monthly users across web and apps
“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.”
Assertion Supported
Foursquare Predicted Black Friday Retail Drop Within 0.2% Using Store Traffic Data
“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%.”
Disclosure
Foursquare triggers automated notifications only when users enter unfamiliar territory
“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.”
Disclosure
Foursquare launches automated location recommendations that require no manual check-ins
“The idea, right, is you walk into a venue, and without having to do anything, you get a notification like this on your phone.”
Assertion Not checkable as stated
Foursquare reports 40 million registered users and 4.5 billion total check-ins
“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.”
Assertion Not checkable as stated
18% of users shown a Foursquare Explore recommendation check in within days
“With our recommendation product, Explore, 18% of people who see a result in Explore check in there within the first three days.”
Assertion Not publicly verifiable
Foursquare claims its background contextual notifications use under 1% battery hourly
“Less than one percent per hour is the, is what it does.”
Disclosure
Foursquare built NLP models to extract venue recommendations and sentiment from tips
“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.”