Visit behaviour
Group shoppers by how they visit.
Create audiences based on the time shoppers spend in the store or the number of categories they regularly stop by during their visits.
Smart Audiences
Reach shoppers by what they did in store, not by who they are.
Target audiences by interest in a category before they purchase, and track the ROI and engagement of your in-store media ads. Built from anonymous behaviour, GDPR compliant.
Audience 01Stock-up
- Visits / week
- 3
- Audience size
- 18.4k
- Interest
- Produce, prepared food
- Campaigns
- Email, flyer
Audience 02Fill-in
- Visits / week
- 1
- Audience size
- 26.1k
- Interest
- Canned food, meat, fish
- Campaigns
- Flyer, e-commerce
Audience 03Urgent item
- Visits / week
- 5
- Audience size
- 9.7k
- Interest
- Soft drinks, salty snacks
- Campaigns
- Flyer, e-commerce
Audience 04Fresh food
- Visits / week
- 2
- Audience size
- 6.2k
- Interest
- Produce, fruit, wine
- Campaigns
- None yet
Six audience types
Every trip leaves a signal. Group them.
Combine any of these rules in the audience builder and activate the result on screens, flyers, e-commerce or loyalty email.
Shopping mission
Create audiences by shopping mission.
Use each shopper's behaviour to create audiences based on the categories visited, the time of day or the day of the week they show up in the store.
Visited planograms
Group shoppers by the shelves they visited.
Gather customer profiles by creating lists of planograms with a common interest. You can also build audiences from shoppers who did not visit certain planograms or categories.
Missed opportunities
Interested, but didn't buy.
Use missed opportunities to build audiences with a shared interest and no conversion: the shoppers most likely to respond to the next campaign.
Shopping tool
Split customers by basket or trolley.
Classify audiences by their preferred shopping tool and target them with the right product formats and pack sizes.
Preferred checkout
Model audiences by checkout type.
Use the type of checkout each shopper chooses to create custom audiences. Distinguish self-checkout from staffed checkout to learn more about each group's interests.
New audienceDraft
- MissionisStock-up
- andVisitedCoffee bay 4no purchase
- andShopping toolisTrolley
- andCheckoutisSelf-checkout
Estimated reach
4,812 shoppers / week
Related metrics
The metrics behind Smart Audiences
FAQ
Questions, answered.
Are audiences based on personal data?
No. Audiences are built from anonymous trips: the tag is on the trolley or basket, not on the person. Activation through loyalty channels uses the retailer's own consented, pseudonymised data, where available.
Where can I activate an audience?
On in-store screens and placements, in flyers and coupons, on the retailer's e-commerce site and through loyalty email, depending on the channels the retailer operates.
How big does an audience need to be?
The builder shows the estimated weekly reach as you add rules. Audiences below a minimum size are not activated, to protect anonymity.
More Retail Media
CampaignsOffline Campaigns→Screens, flyers, secondary touchpoints and seasonal campaigns measured like digital.ProductsProduct Analytics→Traffic, engagement and conversion for every product, planogram and channel.AttributionOffline Attribution→Closed-loop attribution from in-store exposure to the ticket.
See your store the way your shoppers do.
Book a meeting with our retail analysts and see real trips, real tickets and real conversion.