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The Future of Test-and-Learn Retail Analytics

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The retail landscape has fundamentally shifted. Today's successful retailers must go beyond simply collecting data and orchestrate multiple data streams to create symphony-level insights that drive measurable business outcomes. When a leading global apparel brand with iconic fashion labels across diverse international markets sought to optimize their store strategies at scale, they discovered that the real breakthrough came not from any single platform, but from integrating complementary technologies that could answer both the "what" and the "why" of customer behavior.

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For years, retailers have approached store optimization through isolated lenses. Traffic counting systems tell you how many customers entered. A/B testing platforms measure what works. But neither alone provides the complete picture needed to make confident, scalable decisions in today's complex retail environment.

The convergence of RetailNext's comprehensive traffic intelligence with MarketDial's controlled testing capabilities creates something more powerful: a unified approach to understanding and optimizing the entire customer journey. This integration enables retailers not only to test new strategies but also to understand the behavioral dynamics driving those results.


Consider how this global apparel retailer approached optimizing their front-of-store fixtures. Initial A/B tests showed mixed results for different product placements on feature tables near the entrance. The sales data alone suggested abandoning the strategy. However, by layering RetailNext's traffic flow analytics onto MarketDial's test results, a different story emerged.

The integrated data revealed that customers were actually bypassing these front tables entirely, shopping them from behind rather than engaging with the intended front-facing displays. The issue wasn't the merchandise or the concept; it was the placement within the store's decompression zone. Armed with this insight, the retailer moved the fixtures back just a few feet, creating proper breathing room for entering customers while also enhancing the back-of-fixture presentation.

The result? A successful strategy that could be confidently rolled out across hundreds of stores, backed by both statistical significance from controlled testing and behavioral validation from traffic analytics. This exemplifies how integrated platforms enable innovation, agility, and impact in retail operations.

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One of the most challenging aspects of physical retail has always been quantifying opportunity costs. When this retailer's merchandising team proposed moving trending products from floor fixtures to wall displays during a pre-floorset walkthrough, MarketDial's testing capabilities could measure the sales impact. But RetailNext's historical exposure rate data added crucial context: wall placements typically saw 40% less customer traffic than floor fixtures.

By combining both datasets, the retailer could actually calculate the potential sales loss from reduced exposure before making the change. This preemptive analysis influenced the decision to maintain floor fixture placement for high-performing items, protecting what would have been significant lost revenue across their fleet.

This predictive capability transforms how retailers approach space planning and merchandising decisions. Instead of learning from mistakes after chain-wide rollouts, teams can now model scenarios using historical behavior patterns validated through controlled experiments.


Sometimes the most valuable discoveries come from understanding not just what happened, but who made it happen. When testing a double-exposure strategy for men's underwear, MarketDial's market basket analysis showed increased sales and higher attachment rates. The quantifiable success was clear. But RetailNext's demographic analytics uncovered something unexpected: the overwhelming majority of increased engagement at these secondary fixtures came from female shoppers, despite being men's products.

MarketDial x RetailNext Blog Pull Quote

This behavioral insight led to immediate action. The retailer adjusted the product heights on these fixtures to improve shopping ease for its actual customer base, further amplifying the already positive test results. Without the integrated view, they would have missed this optimization opportunity entirely.

These demographic insights extend beyond individual tests. Understanding who shops where within stores enables more sophisticated assortment strategies and helps retailers design experiences that resonate with their actual customers rather than their assumed ones.

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The ability to quickly identify, test, and scale successful strategies separates leaders from followers. This integration dramatically accelerates the innovation cycle. What previously took months of pilot programs and subjective evaluations now happens in weeks with statistical confidence and behavioral validation.

The global apparel brand regularly uses this rapid testing approach to stay ahead of market changes. Whether evaluating new fixture types, testing seasonal layouts, or optimizing product placement, they can quickly move from hypothesis to validated strategy. Each test builds upon previous learnings, creating a compound effect where every decision becomes more informed than the last.

This velocity matters particularly in fashion retail, where trends move quickly, and customer preferences evolve constantly. The ability to test, learn, and adapt faster than competitors becomes a sustainable competitive advantage.


What makes this integration particularly powerful is how each platform amplifies the other's strengths. MarketDial provides the scientific rigor of controlled experiments with clear ROI metrics. RetailNext delivers the behavioral context that explains why strategies succeed or fail. Together, they enable what individual platforms cannot: complete visibility into both customer behavior and business impact.

For retailers evaluating their technology stack, this case demonstrates why integration strategy matters as much as individual platform selection. The leading apparel brand didn't just implement two systems; they created a unified intelligence layer that informs decisions from the corporate office to individual stores.


As retail continues to evolve, the winners will be those who can seamlessly blend digital precision with the complexity of physical retail. This integration represents more than just connecting two platforms; it's about creating an ecosystem where every test generates behavioral insights, and every traffic pattern informs testing priorities.

The success this global fashion retailer has achieved through integrated analytics and testing isn't unique to large enterprises. The same principles apply whether managing ten stores or ten thousand. What matters is the commitment to data-driven decision-making and to choosing technologies that work together to provide complete visibility.

For retail leaders planning their strategic priorities for the year ahead, consider not just what each technology can do on its own, but how integrated platforms can transform your ability to innovate, respond with agility, and drive measurable impact across your organization.

The future of retail belongs to those who can turn data into decisions, and decisions into consistent, scalable success. The integration of comprehensive traffic intelligence with controlled testing capabilities isn't just an operational improvement; it's a fundamental shift in how winning retailers will compete and thrive.

About the author:

Johnny Stoddard

Johnny Stoddard, CRO & Co-Founder, MarketDial

Before starting MarketDial, Johnny worked at McKinsey & Company advising leading retailers on growth strategy, analytics, and transformation initiatives. Johnny brings an executive perspective on scaling data-driven decision-making across complex retail organizations, helping retailers make smarter decisions through real-world experimentation.

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