Understand what our SDK and location intelligence solution means for retail brands and publishers.

Accurat PREDICT calculates the propensity
of actual events happening

Tracking app users’ constant behaviour allows our algorithms to detect behavioural patterns, providing valuable feedback about future events happening. Vice versa, anomaly detection supports brands in preventing users from churning.

Ongoing pattern and anomaly detection

On an average day we collect between 70 and 100 data points for every app user that you track using our SDK solution. Once patterns are understood by our AI solution, we constantly monitor deviations to build “predictive segments”.


Building patterns takes days, weeks or even months, depending on the user’s behaviour. Detecting supermarket preference or a weekly running behaviour is easy, defining a user’s “gifting behaviour” potential takes more time.

From churn prediction to predicting the next buy

Our predictive models constantly measure pattern deviations to define the propensity of an event happening. A drop in a regular pattern is categorized as churning behaviour, visits to a new category are considered “next buy” signals.


Our algorithms are smart to separate noise from voice – true preditive signals. Not every drop is a churning signal: context – being abroad for holidays, weather conditions, festivities … – suggests drops can be ignored.

Augment predictive power using your own data

Just like our segment builder, we believe flexibility is required to make the accurat solution tailored to your objectives. Therefore, our API allows you to connect your data with ours or vice versa.


Our API can handle three types of data. User data – whether in-app interactions or static data about your app user, location data – about your venues – or context data – campaign efforts, events you host, … can be shared.

Translate our predictive power to direct impact

Our predictive signals are often relevant for a limited time frame. Cars are bought over months, but supermarket churners churn over weeks. Our “predictive segments” only lead to impact when used.


Make our prediction insights work by following up on signals via targeted campaigns, email messages or custom notifications nearby. Connecting your tools is easy via our mParticle integration.

Discover our solutions for
retail brands & publishers

Request a demo

Want to start tracking your app users and get a better understanding of their offline behaviour? Get in touch and we’ll be happy to talk you through a demo.