With ambitious objectives in Thailand, including a new store opening in 2025, but also facing increased competitive pressures, IKEA needed to grow customer value as efficiently as possible.

The IKEA team turned to Area Prioritisation Engine from Ikano Insight, which combines multiple data sources to build a comprehensive picture of different local areas. Results revealed a significant revenue opportunity, enabling the client to optimise their marketing investment for the greatest return.

Just like IKEA, sustainability is a fundamental driver of business strategy for Ikano Group, and the Group has a challenging set of defined environmental, social and governance (ESG) ambitions.

The stakes are high for all businesses, where failure to comply with the CSRD reporting requirements can mean reputational damage, loss of customer trust and financial penalties.

The biggest impact of the IBM Envizi platform implementation by Ikano Insight for all the Group businesses has been the simplification of complex data capture and reporting, allowing individual companies to focus on taking crucial action.

Family owned Frosts Garden Centres constantly feel the pressure of competition from larger nationwide brands. Fierce discounting in the highly competitive UK garden centres market demanded that they find new ways to maximise profitability whilst growing market share.

By understanding consumer visitation behaviours to each Frosts Garden Centre and then each of their competitor sites, Frosts could identify where their most loyal customers originate, and where to find those susceptible to conquest.

IKEA have big ambitions for 2030, already totally committed to doing their part to tackle climate change, unsustainable consumption, and inequality.

They are delivering sustainable solutions, ensuring positive change for people and the planet by “Making life at home a little more sustainable. Everyday”.

And just like all other companies, the success of their strategy is reliant upon access to accurate, up-to-date data, to measure their current performance and to make the right decisions that ensure even better future performance.

Whilst IKEA already possessed extensive customer data within their Family loyalty programme, they now needed to understand the potential of new audiences, and how to directly access them.

Quite simply, IKEA needed to rapidly visualise customer location behaviour, integrated with multiple additional sources of customer profiling data, and customer shopping or transactional data. All in an easy to consume format, that would surface insights quickly, and facilitate positive business decisions.​

Maximising customer engagement and value requires constant communication with customers, and IKEA are experts in this field.

RFV modelling was applied to the base to enable a segmented offer strategy deployed through email and MMS.

The RFV model was then overlayed with a recommendation engine to determine the optimum offer for each value based customer segment.