StoreDNA review
Connects in-store video behavior with sales data to inform retail decisions.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
StoreDNA analyzes physical-store shopper behavior from video feeds and connects those observations with sales data. It is aimed at mid-market and enterprise retailers that want to understand how shoppers move through stores and engage with products. Teams can examine footfall, dwell time, shopper demographics, zone activity, space usage, and SKU engagement, then relate those measures to sales outcomes. The emphasis is on improving decisions about store layouts, assortments, promotions, customer flow, and staffing across one or more locations.
The product’s central strength is linking behavioral signals to commercial outcomes rather than treating traffic or dwell as isolated metrics. StoreDNA compares zone behavior with zone revenue and presents data-science-driven recommended actions. Team learning and A/B test results can also be shared, supporting a process for reviewing store changes and their observed effects. The site describes near-real-time analysis, while category specifications identify real-time refresh and cloud deployment. This focus makes the product more relevant to retailers with video feeds and sales data to connect than to teams seeking a general-purpose retail analytics system.
StoreDNA uses a contact-sales pricing model, so a buyer would need to speak with the vendor about commercial terms. Its web platform and cloud deployment align with centralized analysis across store portfolios, but the product’s value depends on access to in-store video and the ability to relate behavior to sales. Retailers looking to study physical shopper journeys, product engagement, and space performance should consider it; businesses centered on online retail, or those seeking intelligence beyond in-store behavior, should look for a broader fit.
StoreDNA pros and cons
- Where it wins
- Measures SKU engagement alongside store traffic, dwell, and demographics
- Connects shopper interactions with sales and zone-level revenue
- Offers recommended actions and sharing for team learnings and A/B results
- Where it doesn't
- Relies on in-store video feeds, so it is focused on physical retail
- Pricing requires contacting sales
- Its focus on in-store behavior may not suit broader retail intelligence needs
StoreDNA fact sheet, pricing and score →
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