Who

Establish customer demographics and personalise communications for a more profound impact

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Shopper & Customer Insights

Increase the impact of marketing campaigns with personalised and timely messages to passing store traffic.

Identify how different shopper profiles navigate your store, interact with merchandise and engage with colleagues to enhance their shopper experience. Create valuable shopper segment profiles, which transfer into marketing successful campaigns that boost traffic and sales.

Increase conversion and interest with clear defined demographic profiles of like-behaving segments to tailor retail services and refine product offerings.

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Benefits

Convert more browsers to buyers using targeted messaging
Effectively plan workforce productivity and identify different types of shopper that call on shop assistants for service
Improve marketing ROI and target marketing messages to different shopper profiles
Enhance product appeal with shopper profile insights
Implement innovative strategies combining both footfall analytics and customer demographics

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The insights

The identity of customers and their purchase history and patterns are fundamentals in retail analytics. Capturing demographic and profile statistics on those that come into stores, but don’t make purchases is equally insightful. Such data provides feedback on opportunities failing to be converted.

Generating patterns on how different profiles of people shop stores, interact with merchandise, engage with colleagues and navigate spaces introduces another level of granularity in the quest to understand shoppers better. The era of retailing to the mass market is over. Shoppers increasingly want personalised offers and experiences. Knowledge of the demographics of buyers and browsers helps refine offers and measure the success of target market appeal.

Some of the key metrics are measured include:

Audience Counts: the number of people who have viewed the area under analysis
Average Impression Length: the dwell times
Shopper Gender
Shopper Age Band
Opportunity to See: how many people walked past the display and what ratio actually stopped to look

So, if you want customer insights on shopper gender, we can tell you:

The sex of the shopper viewing the area
The different dwell times of male and female shoppers
How long men are looking at a specific display compared to women
How to make your visual displays work harder to match gender types
The impact a change in merchandising or visual messaging has on dwell times

If you want customer insight on Shopper age bands, we can tell you:

The age range of shoppers who viewed the display
Which age groups spent the most time looking at the specific area
How to make those displays work harder by matching content to the customer age group
The impact a change in merchandising or visual messaging has on dwell times

How does it work?

Powered by Intel’s pioneering AIM face recognition software, the system uses video sensors to take the co-ordinates of the shopper’s eyes, nose and mouth and working against a database of co-ordinates, can determine the gender and age of the shopper.

Our face detection sensors can log facial patterns of shoppers who are looking at any specified item such as visual messaging, a window or digital screen and then log that data to create customer demographic profiles.