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Advanced analytics

We analyse people and places to unlock value for your business

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Data can do anything

We’re experts at driving value through data, informing impactful decision making and turning insight into growth.

Whether that’s implementing self-service reporting to drive data-driven decision making, developing predictive models to maximise marketing, or using real-time consumer mobility insights to inform new site selection.

Learn more about our solutions, services and success-stories below – or book an introductory call with the team to tell us about you, your objectives, and how analytics can help.

Business analytics solutions diagram

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People and place are the key to unlocking value

Area prioritisation

Catalyse customer growth in your local markets with targeted comms based on highest value potential.
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Location analytics

Identify and track competitor customers, map retail catchment areas, and directly target market share growth.
Find out more

Area prioritisation

Catalyse customer growth in your local markets with targeted comms based on highest value potential.
Find out more

Location analytics

Identify and track competitor customers, map retail catchment areas, and directly target market share growth.
Find out more

Read the use cases

How you can apply analysis of people and place to unlock growth

IKEA registered 180,000 new loyalty members in just 2 weeks, using customer segmentation and profiling, to deliver highly targeted, personalised communications

Learn how to communicate with your target customers based upon their behaviour, life-stage, demographics and preferences.

Launching their biggest store ever in a new market, IKEA needed a fast sales start, only achievable if they could tempt the local population in to their loyalty scheme.

Find out how they achieved their goal
Profiling and segmentation

IKEA used RFV modelling to deliver a 9:1 ROI from communications to loyalty scheme customers

Learn how to apply RFV modelling to your customer base to enable segmented offer strategies deployed through marketing communications.

IKEA are ambitious to build brand loyalty, by rewarding their most loyal customers and reinvigorating dormant customers who have not purchased recently.

Read how they achieved 9:1 ROI
Customer engagement and value modelling

Using product recommendation engines has proven to identify customers 5 times more likely to buy recommended products than generic marketing offers.

Learn how to improve engagement rates, increase basket sizes and drive increases in sales revenue and customer satisfaction.

We create sophisticated recommendation engine that leverage transaction, product, and stock data to understand and predict customer purchasing behaviours.

Read how they will work for you
Product recommendation engines for relevant personalised offers

IKEA used location analytics to plan and forecast footfall and market share for a potential new store location.

Learn how to analyse visitation patterns and competitor customer behaviour to assess the viability of your next new store location.

IKEA accurately quantified potential share available at a new location, confirming their choice, and highlighting a very low overlap with current stores.

Read how they forecast success
Retail location planning

How can we help?

Discuss your growth challenges, your objectives, and see a demo of Area Prioritisation by booking a 30-minute call with one of our experts.

Just choose a date and time below that suits:

Our work

Location analytics

Location Optimiser analysis reveals new audiences for concept store

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.​

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Sustainability solutions

Sustainability data dashboards in retail

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.

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Analytics solutions

End to end data transformation for southeast Asia’s biggest furniture retailer

With 5 shopping centres and 12 IKEA stores across Southeast Asia, including Singapore, Malaysia, Philippines, and Thailand, plus one more in Mexico, Ikano Retail collects, stores and analyses enormous amounts of data from multiple locations and departments every day.

As the data analytics and business intelligence partner to Ikano Retail, Ikano Insight executed the data warehouse and dashboard capability of their business-wide data transformation strategy named “Data to Insight” (D2i).

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Location analytics

Frosts Garden Centres grow market share

Location analytics reveals competitor customer behaviour

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.

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Frequently asked questions

 

What are the core elements of retail BI?

The core elements of retail business intelligence (BI) encompass robust data collection methodologies, advanced analytics techniques, intuitive data visualisation, and comprehensive reporting mechanisms. These elements work together to empower retailers to unlock actionable insights from the vast amounts of data that they hold.

Why is business intelligence important in retail?

Business intelligence holds paramount significance in the retail sector due to its ability to catalyse data-driven decision-making. By leveraging BI, retailers can unearth invaluable customer trends, optimise inventory management, streamline operations, revolutionise marketing strategies, and ultimately gain a competitive edge in the dynamic retail landscape.

How does data integrate with other platforms used within retail business?

Data integration lies at the heart of an interconnected retail ecosystem. Through meticulous data integration practices, retailers can consolidate disparate data sources, including point-of-sale systems, CRM platforms, e-commerce portals, supply chain systems, and more. This seamless integration empowers retailers to achieve a comprehensive and holistic view of their business operations and customer interactions, allowing them to make insightful analysis and informed decision-making.

How do Ikano Insight work with their clients?

Ikano Insight adopts a consultative approach in their collaboration with clients, engendering a close partnership rooted in data analytics expertise. Through their proven methodologies, Ikano Insight assists retailers in unlocking the full potential of their data. Their services encompass comprehensive data analysis, granular customer behaviour insights, optimisation of marketing campaigns, deployment of machine learning, impactful self-service reporting via data visualisation, and data-driven business decision support, all aimed at increasing market share, driving growth and expansion, and enhancing customer value.

What types of retailers can benefit from data analytics?

The benefits of data analytics extend across nearly all retail verticals, including brick-and-mortar stores, e-commerce retailers, omnichannel enterprises, supermarket chains, and fashion retailers, among others. Irrespective of retail type, business intelligence empowers retailers to discern customer preferences, refine inventory management strategies, optimise pricing models, enhance marketing effectiveness, and strengthen overall business performance.

How long is a typical project?

The duration of a data analytics project depends upon its scope and intricacy. While project timelines can vary, a typical engagement may span several weeks to months. Factors influencing project duration include dataset size, complexity of analysis, availability of requisite data sources, and specific project objectives. A well-executed data analytics project ensures a comprehensive exploration of insights while balancing efficiency and thoroughness.

Get in touch and have a chat

Chat with our experts at a time that suits you, to explore how advanced analytics will change your business.

Drop us a line, leave a message, or fill in the form. Whatever you prefer. We’re here to help.

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