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Retail

Position testing

Quantitative

How a Footwear Retailer Used Compeers AI to Refine Product Positioning and Omnichannel Strategy

Quick summary
  • Compeers AI can execute complex footwear consumer research in one workflow, combining brand awareness, category perceptions, purchase-driver analysis, open-ended response coding, statistical testing, regional comparisons, and decision-ready recommendations.
  • The completed study examined how consumers evaluate premium cold-weather footwear, including the product attributes they value, their willingness to pay, shopping-channel preferences, durability expectations, and reactions to potential brand positioning.
  • One established competitor accounted for nearly half of unaided brand mentions, revealing a substantial opportunity for the retailer to strengthen brand salience and differentiation.
  • Nearly half of consumers were willing to pay more for enhanced water resistance, while four in ten would pay more for sustainable materials.
  • Approximately six in ten consumers preferred a combination of online and in-store shopping, and about half of in-store shoppers wanted to try on, feel, or inspect the footwear before purchasing.
  • The research identified different regional opportunities: water-resistance messaging had greater potential in metropolitan markets, while sustainability, comfort, and brand heritage resonated more strongly outside major metros.
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What business question did the footwear retailer need to answer?

The retailer needed to understand how consumers choose premium footwear and how its brand could compete more effectively against a dominant category incumbent.

The research had to determine which attributes influence purchase, how much consumers value water resistance and sustainable materials, how long they expect premium footwear to last, and whether they prefer to shop online, in stores, or through both channels.

The retailer also needed to understand whether purchase motivations differed by geography and whether its positioning around quality, comfort, durability, sustainability, and brand heritage was sufficiently distinctive.

How did Compeers AI execute the footwear consumer research?

The study included unaided and prompted brand awareness, category associations, material expectations, purchase occasions, ranked purchase drivers, willingness-to-pay questions, shopping behavior, brand-positioning statements, advertising preferences, and open-ended feedback.

Compeers AI brought the structured and unstructured data into one analytical workflow. The platform coded open-ended responses, ranked purchase drivers, evaluated overall and regional results, tested statistically meaningful differences, and connected consumer attitudes with shopping behavior and product expectations.

The analysis was converted into charts, narratives, an executive summary, and recommendations that remained verifiable to the underlying survey data.

What did the footwear market research reveal?

The retailer faced a significant awareness challenge: one competing brand generated nearly half of all unaided mentions in the category.

Product functionality created a clear route to differentiation. Almost nine in ten consumers were either willing or potentially willing to pay more for enhanced water resistance. More than eight in ten showed similar openness toward sustainable materials.

Durability expectations were also high. Just over half expected quality footwear to last two to three years, while nearly one-third expected four years or longer.

Shopping behavior reinforced the importance of omnichannel retail. Consumers valued online channels for convenience, selection, and deals, but physical stores remained essential for fit, comfort, tactile assessment, and visual inspection.

How could the retailer use the findings?

The research provided a roadmap for strengthening brand awareness, prioritizing functional and sustainable product attributes, and building a more integrated online and in-store experience.

It also supported region-specific marketing: emphasize water resistance and warmth in metropolitan markets, while highlighting sustainability, comfort, craftsmanship, and brand heritage elsewhere.

This use case demonstrates how Compeers AI can transform footwear brand and shopper research into verifiable guidance for product strategy, positioning, merchandising, advertising, and omnichannel growth.

At a glance
~50%
of unaided brand mentions went to one competitor
~90%
were willing or potentially willing to pay more for water resistance
~60%
preferred a combination of online and in-store shopping
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The business question
How Compeers AI ran it
What the research revealed
How to use the results
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