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."
In marketing technology, Machine Learning and Artificial Intelligence are to the layman seemingly interchangeable, overused concepts and jargon designed to say a few things: Our technology is proprietary Our process is complicated Our results are superior And most of all, Artificial Intelligence says a marketing technology company might just have a high-tech solution to marketing’s […]
TechCrunch selected Locomizer to participate in their pitch-off at the Cannes Lions on June 25 to compete for tickets to attend an upcoming TechCrunch Disrupt SF or London. The best part is that the pitch contest will be conducted the Cannes-style – on a yacht right by the Cannes Lions exhibition hall! Mike Butcher of TechCrunch will […]
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!
Successful live trial with McDonald’s
First commercial contract in Sep 2014