Shoppers behavioral and demographic insights powered by AI-assisted security cameras analysis.

Complete Sales Funnel

With Figure It brands find out exactly who is buying and who is not buying an SKU. The user can see a complete sales funnel, including events before checkout in brick & mortar stores.

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In-store marketing demographic insights

Figure It is able to identify the best performing demographics of shoppers for the brand.

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Measure the Impact of Advertising: Cost of Impression, Cost of Touch

Figure It connects TV viewing and digital ad exposure to in-store behavior.

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Competitive Research

With our product, a brand could monitor current trends in a specific product category by tracking new competitors products and product extensions. By analyzing segmented data, a brand could detect opportunities in higher growing segments or segments with higher margins.

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A/B tests of promotions

Our product makes A/B testing efficient. In depth results from A/B tests help to cut unnecessary tests, reduce the number of iterations and get to market faster.

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Monetization of In-Store Data

Brands want to buy audience data. Retailers want to increase store revenue. Figure It provides new incremental revenue

for multi-brand retail stores, up to 5% of gross sales in a store.

With these insights, brands can evaluate consumer responsiveness to their product in-store. They can also optimize advertising investment (i.e. drive specific demographic groups in a specific zip code to the store)

and assess competitive dynamics with actual shoppers. 

The total economic impact of this information and actions based on this information is up to 30% of the sales

and marketing budgets of brands.

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Demographics data overlay on top of store layout

Today, retailers arrange products in a store by product category. Figure It helps to arrange products by probability

to sell to the most converting audience.

Figure It knows places where a specific demographic segment spends its attention and likely buys a product. We provide

an augmented layer of demographic data and conversion rates over a physical retail space.

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Decision-making trajectory of shopper's attention

• Figure It determines the direction of view and the product
• Effect of kids on decision-making
• Effect of promotions on decision-making

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We connect to security cameras in a store and build a skeletal model of all the shoppers. We use standard cameras, no specialized hardware required. We are then able to know when a person: stops at the shelf, turns to the product, looks at the product or picks up the product.

We determine the direction of view and the product in their hands. When a person’s face enters the camera, we determine their age, gender, and other demographic data.

Plug & Play

We aggregate & anonymize

We build AI software that sits on top of security cameras to automate analysis. Hence there is no need for new software and hardware.

Your data on-site. All personalized data will stay with the retailer alone. At no point will it be possible to recognize faces and identify a person. We never store any data nor backlink processed data to the original image source. This guarantees full GDPR compliance without having to obtain customer consent.

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