Apple Acquires Spotsetter, A Social Search Engine For Places
Spotsetter, a social search engine using big data to offer personalized recommendations as to places to go, has been quietly snapped up by Apple, TechCrunch has learned. The technology, which involves layering social data …
Context & Ripple Effects
Spotsetter is the third leg of a quiet Apple buying spree in search and local data: the company picked up Locationary for local business listings in July 2013, then paid north of $200 million for Twitter-analytics firm Topsy that December. Spotsetter adds what was missing between those two pieces — a social layer that turns friend activity and big-data signals into personalized place recommendations.
The fit is with Maps and local discovery rather than any consumer product of its own; Apple has no social network of its own to feed such an engine, which is precisely why buying one makes sense. It also closes a loop opened back when TechCrunch surveyed location-based social networking on the iPhone in 2008 — the platform has hosted these apps for years without owning the underlying recommendation machinery.
First-order effects
- Apple absorbs Spotsetter's team and its social-recommendation technology, gaining a way to personalize Maps results and local search using social signals rather than static listing data alone.
- Spotsetter's standalone service effectively becomes part of Apple, ending its run as an independent app while giving Apple's mapping stack a recommendation layer it had been assembling piecemeal via Locationary and Topsy.
Second-order effects
- Google, Yelp, and Foursquare — whose local-search products lean heavily on user-generated reviews and check-in data — face a competitor now buying its way to comparable personalization rather than licensing or scraping it.
- Small social-data startups with recommendation or analytics IP become more valuable as acquisition targets, since Apple has now demonstrated twice within six months (Topsy, then Spotsetter) that it will pay quietly and quickly for this capability.
Third-order effects
- If the pattern holds, Apple's search strategy consolidates around acquired data engines layered onto first-party surfaces like Maps and Siri, rather than building a social graph of its own — pushing the industry toward answer-style discovery where the winner owns both the data and the surface it renders on.
The trend: Apple is assembling a social-and-local search stack through serial acquisitions, moving discovery away from query-based listings toward personalized answers rendered inside its own apps.