Retail chains
We help shopping centres turn visits into experiences that keep people coming back.
We analyse footfall patterns, purchasing decisions and what makes visitors stay longer.
How we buy
In the age of online shopping, where shopping centre visitors have more and more reasons to stay at home, the centres that succeed are those that understand what people are looking for beyond the screen and are able to deliver it.
A shopping centre is an environment where every aspect of the space influences how long a visitor stays and whether they will return. Whether you manage a shopping centre, are planning a refurbishment, or are repositioning a property in a changing market, you need to know what attracts visitors, what shortens their visit, and what actually translates into tenants’ results.
At Inquiry, we help shopping centre managers and owners make informed decisions by combining visitor experience research, footfall and movement pattern analysis, visitor segmentation, tenant mix research, catchment area analysis, and tracking of the centre’s image and positioning. We utilise the full spectrum of methods: from field research, observation and barrier analysis to modern techniques such as passive mobile data tracking and place ethnography.
Our international perspective enables us to deliver solutions that tangibly improve footfall, the visitor experience and the venue’s commercial performance.
How can we help you?
Qualitative research
UX/CX research
Omnibus survey
Omnibus
Quantitative research
Communication research
CONTACT US
Ask us about our research
Today, a shopping centre is much more than just a place to shop. Visitors come with different expectations than they did a decade ago – and they’ll leave if the space doesn’t keep up with what they’re looking for. Over the years, I have observed that the shopping centres that succeed are not those with the longest list of tenants, but those that understand why people actually come to them.
Please get in touch and let’s see how things stand at your end.
Agnieszka Górnicka, Managing Director of Inquiry Ltd.

ABOUT US
Why Inquiry?
In a world where retail spans offline, online and omnichannel channels, we provide insights that enable you to make informed decisions across all channels. We combine research expertise with advanced analytics to turn data into actionable recommendations.
For years, we have been studying shopper behaviour across every shopping environment: in high-street shops, in e-commerce, and at the intersection of channels. We understand how customers’ decisions change depending on the context, device, product display, journey, and shopping situation. This enables us to provide insights that help build experiences consistent with real consumer behaviour — regardless of where the purchase ultimately takes place.
We utilise the full spectrum of analytical methods — from classic regression analyses to pricing models, segmentation, driver analyses and behavioural predictions. However, our strength lies not in the models themselves, but in their interpretation: we translate the results into specific action plans, priorities and recommendations that marketers and managers can implement immediately.
We carry out projects across many markets in Central and Eastern Europe, ensuring consistent methodologies, comparable results and an understanding of local differences. We keep a close eye on how global players are adapting their strategies in digital and brick-and-mortar retail, and we translate this knowledge into practical recommendations for our clients. As a result, we provide insights that work not only here and now, but also in the next markets you plan to enter.

OUR PROJECTS
How can a chain of shops compete with a discount store?
CHALLENGE: How can we change customers’ perception that our shop is more expensive than the competition – and understand where this belief comes from?
INDUSTRY: Food retail
ROLE OF INQUIRY: Development and implementation of a proprietary methodology. Data analysis based on benchmarks. Monitoring of price positioning. Recommendations for changes.
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