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Test promotions, layouts, pricing, operating changes, and marketing programs on a controlled group before committing the full chain. TestSmart measures incremental impact against matched stores and identifies where the result is strong enough to scale.
Trade spend, pricing, assortment, and new-product programs compete for the same investment. TestSmart measures the incremental volume each program created, helping teams separate genuine growth from demand already on its way.
Styles, price points, assortments, and merchandising strategies move faster than a full-season read allows. TestSmart measures response against comparable stores and products while there is still time to scale a winner into the season.
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In our clients’ own words
“This partnership allows us to eliminate repetitive, low-value tasks so our merchandisers can focus on understanding what is truly happening in our brand and make quicker, higher-quality decisions to get the right products in the right places for our customers.”
“We conducted a comprehensive review of marketplace providers. Impact Analytics was the clear choice given their deep experience in fashion retail and their leadership in Agentic AI solutions that address the complex challenges faced by modern retailers.”
“This partnership allows us to eliminate repetitive, low-value tasks so our merchandisers can focus on understanding what is truly happening in our brand and make quicker, higher-quality decisions to get the right products in the right places for our customers.”
Test and learn software measures whether a business change actually caused an outcome by comparing a test group against a statistically matched control group. TestSmart automates experiment design, matching, measurement, and analysis so teams can make rollout decisions from evidence rather than correlation.
TestSmart evaluates historical performance and relevant characteristics such as sales, traffic, product mix, store attributes, and demand patterns to identify comparison groups that most closely match the test population before the experiment begins.
TestSmart measures the incremental difference between test and control performance and provides the statistical evidence behind the result, helping teams distinguish a meaningful change from normal variation.
Yes. Iris can break results down across stores, regions, products, customer groups, and other dimensions to identify where a test produced the strongest incremental impact and where the result did not hold.
Once a result is strong enough to act on, Iris recommends whether to scale, refine, or retest it. Through autonomous orchestration, an approved result can feed directly into the pricing, promotion, assortment, inventory, demand, or store plan the experiment was designed to improve.
