Understand who visits your store, without identifying anyone.
Visitor profiles summarize who is shopping, in aggregate, including group types and broad demographics, and how each segment behaves. The result is useful for planning and anonymous by design.
Add-on for Counting · Anonymous · No facial recognition
Live example: visitors sorted into broad, anonymous segments as they shop. No one is identified.
The make-up of the people who visit your store.
Turn anonymous visitor numbers into the audience picture that informs your product range, staffing and marketing, without a single shopper file.
Aggregate demographics
The broad make-up of your visitors, such as the balance of adults and children and the mix of group types, reported as anonymous totals and never as individuals.
Group types
Understand how visitors arrive, whether alone, as couples, as families or in larger groups, broken down by hour, day or store.
Behavior by segment
Compare how long visitors stay, the routes they take and the share of visitors who make a purchase across segments, such as families compared with people shopping alone, without ever building a file on any shopper.
A picture of your visitors, not a file on anyone.
A profile here is a reporting segment, such as "families on Saturday afternoon", rather than a named shopper. CountPort measures how the mix breaks down and discards the rest, so you receive the planning value without the personal data. It does not use facial recognition and does not identify individuals.
- Group make-up: people shopping alone, couples, families and larger groups.
- Broad age mix: adults and children, in aggregate.
- No identities, no faces and no shopper records.
From visitor numbers to an anonymous picture of your audience.
Connect your cameras
CountPort works with the overhead cameras you already have. No new hardware is required.
Classify into broad segments
Software that runs on a computer inside your store sorts each visit into broad, anonymous segments, such as group type and the balance of adults and children. It does not use facial recognition and does not identify individuals.
Combine into segment summaries
Individual visits are combined into anonymous totals. The result is proportions and trends, not a record of any one person.
Compare segments and behavior
See how the mix shifts by hour and by store, and how each segment moves through your store, how long it stays and the share that makes a purchase.
Profiles are aggregate and anonymous: broad segments and proportions, never named shoppers or stored faces. CountPort does not use facial recognition and does not identify individuals. All video is processed on-site, inside your store, and is never uploaded; only the metrics you choose are shared. This reduces privacy risk and simplifies data-protection review. Read privacy details ›
Understand your audience, anonymously.
Add visitor profiles when the make-up of your audience matters more than any single shopper, using the cameras you already have.
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