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Chronicles

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Here Is How Foursquare Plans On Turning Your Life Into Ads

On stage at TechCrunch Disrupt earlier today (RIP, Sam Biddle's press credentials!)  Foursquare CEO Dennis Crowley acknowledged the haters, before offering a confident dismissal: “I think there are a lot of people …

Valleywag Nitasha Tiku

Context & Ripple Effects

This Disrupt appearance is the public payoff of an arc Foursquare has been telegraphing since at least June 2012, when Dennis Crowley laid out the pivot away from check-ins toward digging into its data and moving toward revenue, followed by October's pledge of specific targeting rather than dumb banners. What changed on stage is tone: Crowley is no longer describing a roadmap, he is defending one against critics who read 'turn your life into ads' as desperation.

The defensiveness lands against unconfirmed March chatter about acquisition interest and fundraising difficulty — rumors, not established fact, but they explain why Valleywag and eight other outlets (TechCrunch twice, plus CNET, Business Insider, VentureBeat) treated a CEO revenue pitch as a story worth syndicating widely.

First-order effects

  • Foursquare's location history — where users actually go, not just where they check in — becomes explicit ad inventory, with Crowley confirming the company will sell targeting built on that behavioral record.
  • Advertisers gain access to a dataset competitors like Yelp can only partially match: passively observed visits across venues, not reviews or claimed preferences.

Second-order effects

  • Local merchants become the demand side: 'specific targeting' implies pricing power shifts from banner networks toward whoever owns the visit data, pressuring Yelp and Groupon-style players to weaponize their own behavioral logs.
  • Every consumer app holding location trails now faces the same monetization template, raising the bar for what users are told their movement data is worth.

Third-order effects

  • If the pattern holds, the durable asset in consumer location apps stops being the user base and starts being the inference engine — the app becomes a sensor whose output is sold to advertisers, with privacy backlash and possible regulatory attention as the counterweight.
  • Check-ins were the visible act; the structural shift is toward invisible, always-on behavioral capture as the default business model for free consumer services.

The trend: Consumer location apps are converting behavioral traces into targeted-ad inventory, trading check-in novelty for a data-brokerage business model.