Retrieves customer interests from their location history and outputs distinctive user interest profiles, making them ideal for relevant targeting, recommendations, all kinds of personalization and user matching. Simply saying, the API helps answering a question of "WHO TO TARGET?"
Provides a detailed, rich, contextual knowledge of any given place by footfall interests and day part. The data feed is a result of aggregating, anonymising, and extrapolating of individual user interest profiles. API empowers marketers to make a decision of "WHEN AND WHERE TO TARGET THEIR AUDIENCE."
Summary: Locomizer used geo-enabled tweets to pinpoint user segments with a high affinity for eating/drinking and fast food in order to extrapolate them on a whole population of central Madrid for a fast food mobile ad targeting campaign. As the result, Twitter data proved to drive the click through and conversion rates by 40% and […]
Creating user interest profiles, as discussed in Part 1, is just one side of the story, the second part is that we can aggregate and anonymise those profiles to extrapolate on the whole population. We call it the Geo-Behavioral Interest Graph (The Graph) or Footfall API when we want to monetize it as a product. Imagine getting […]
Selected by London B2B incubator Collider12 for Winter/Spring 2013 Class and raised our first seed round.
Used advice and money from the Collider12 accelerator to build and test our MVP.
Selected by San Francisco Momentum startup accelerator for Summer 2013 Class hosted by RocketSpace.
Locomizer was named by Mashable a TOP25 UK startup!