Foursquare Explore now has ratings powered by where people actually like to go, not just star ratings
With today's iOS update, we've made finding the best place on-the-go even easier. Now when you search for somewhere to go in Explore, you'll see a score from 1 to 10 next to the name of a place.
Context & Ripple Effects
Foursquare has been assembling Explore into a recommendation engine for a year: the November 2011 big-screen discovery push framed check-in data as the raw material for suggestions, and a May 2012 update added search over check-in history. Today's iOS release completes that arc with a visible output — a 1-to-10 score next to every venue in Explore results.
The pickup was unusually broad for a feature update: The Next Web, VentureBeat, GigaOM, parislemon, SocialTimes and WebProNews all covered it the same day, reflecting how closely the local-search crowd watches whether behavioral data can displace the star-rating model.
First-order effects
- Explore users now see a single 1-to-10 score per venue computed from where people actually go, replacing comparison across scattered star reviews at the moment of search.
- Venue visibility in Explore becomes tied to check-in behavior, giving merchants a direct reason to drive check-ins rather than solicit written reviews.
Second-order effects
- Rival local-discovery services built on explicit review volumes face pressure to fold passive behavioral signals into their own rankings or defend why star averages alone suffice.
- Foursquare's check-in corpus turns into a differentiating asset it can productize beyond its own app, since the score demonstrates the data predicts preference.
Third-order effects
- If behavioral scoring holds up against review-based rankings, local discovery consolidates around whoever accumulates the richest passive location signal, and explicit reviews become a supplement rather than the foundation.
- Merchants' marketing spend follows: incentives shift from review solicitation toward tactics that generate visits and check-ins, reshaping how local businesses compete for placement.
The trend: Local discovery is shifting from explicit user reviews toward preference scores inferred from passive check-in and location data.