Fit Score

Revenue predictions – Maximize your earnings

Turn data into powerful insights with our machine learning and AI models. Our platform blends your store's performance with extensive third-party data, delivering customised, area-based revenue predictions for new areas.

Data for every retail location

We have extensive third-party data around every retail location. From footfall and demographics, to card transactions and public transport, we've got it all covered.

Understand what drives your revenue

Our models integrate your performance metrics with our third-party data to understand what your business needs to succeed and what drives your revenue.

Area-based prediction

Leverage our platform's capabilities to predict your potential revenue based on the specific area conditions and your revenue drivers.

Finding high-revenue areas with confidence

Turn insights into actions. With our precise revenue predictions, you can optimise your business strategies, maximise your performance, and reach your revenue goals.

Related features and data

Compare Areas

Benchmark areas and identify growth opportunities by comparing key metrics across multiple locations.

Similar Areas

Turn your top-performing location into a blueprint for success by discovering new areas with similar potential.

Visitors’ Origin

Discover where your visitors come from and gain a deeper understanding of your true catchment areas.

Dashboards

Build your data story through custom dashboards with AI-powered insights, interactive presentations, and easy sharing.

Walk & Drive Time

Select areas based on walking, driving, and cycling times to explore realistic catchment areas.

Movement

Unlock a world of insights with our datasets from Telia and Norlys, providing granular, timely and comprehensive insights into movement patterns.

Spending

Dive into our BankAxept dataset, which offers comprehensive coverage of card transactions in Norway.

Demographics

Explore population distribution, household types, income levels, and demographic trends.