Advanced Visitor Analysis
Aggregated, anonymous visitor demographics — so your merchandising and marketing decisions start with who's actually walking in.
You know how many people came in. Do you know who they were? Advanced Visitor Analysis reports the gender distribution of your visitors — the customer profile behind the traffic number.
Advanced Visitor Analysis identifies the gender distribution of the customers who actually visit your site. The resulting profile informs decisions your traffic count alone can't: which product types to carry, where to place them, what purchasing patterns to expect — and, just as important, which customer groups you're currently reaching versus the ones you still need to develop.
Analysis is applied to detected visitors within the area you configure, and results are reported as an aggregated distribution — a profile of your audience as a whole, never records of individuals. That makes it a marketing and merchandising instrument rather than a surveillance one: the store learns its mix has shifted, not who walked in on Tuesday.
What It Does
Who Uses It
If the Floor Is 70% Women's Product but the Door Count Skews Differently, Something Is Off.
The visitor profile shows whether the assortment or the marketing is missing its audience — before a season of markdowns proves it. Know who's actually walking in, and match what's on the floor to who's coming through the door.
- Visitor demographic profile by daypart and day of week
- Compare floor assortment to actual customer mix at the door
- Catch audience mismatches before they become markdown problems
Match Promotions and Endcaps to Who Actually Shops Each Daypart.
Visitor profiles by time of day let you align promotions, endcap placements, and category adjacencies to the customer who's actually in the store — and measure whether a campaign aimed at a new customer group actually changed the mix at the door.
- Visitor profile by daypart to tune endcaps and promotions
- Measure whether campaigns shifted the customer mix
- Match category adjacencies to who shops each time window
Tenant Mix Decisions Shouldn't Rest on Assumptions About Who Visits.
Aggregated visitor demographics replace the assumption with measurement — and give prospective tenants a data-backed audience profile they can actually use to evaluate the opportunity, instead of taking your word for it.
- Aggregated visitor profile across the whole property
- Data-backed audience profile for prospective tenant conversations
- Replace leasing assumptions with measurement
The Lunch Crowd at This Location Isn't the Same as the One Across Town.
Visitor profiles across locations and dayparts show who each store actually serves — so menus, combos, and local marketing are tuned to the real audience, not a brand-wide average that fits no single location perfectly.
- Visitor profile by location and daypart across the portfolio
- Tune menus and combos to the audience each store actually serves
- Identify where local marketing should differ from the national playbook
If the Goal Was to Reach a New Customer Group, the Door Count Before and After Is the Scoreboard.
Close the loop on campaigns with the one number that shows whether they worked: the visitor profile distribution before and after. If the goal was to develop an underrepresented customer group, this is the measurement that says whether it moved.
- Before-and-after visitor profile comparison for campaign measurement
- Track whether campaigns shifted the customer mix at the door
- Close the loop between marketing spend and in-store audience change
How It Works
Advanced Visitor Analysis runs on the same Clear Watch cameras that secure your store. During business hours, the AI builds an aggregated visitor profile that feeds merchandising, placement, and marketing decisions. After hours, the identical cameras serve Clear Watch's 24/7 live security monitoring. One platform: customer intelligence during the day, protection at night.
FAQs
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No. Results are reported as an aggregated distribution across detected visitors — a statistical profile of your audience, not records of individuals. There is no identity matching.
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Two ways: fit the store to the audience you have — product types, placement, promotions matched to the actual visitor mix — and measure progress toward the audience you want, by watching the distribution shift after assortment or marketing changes.
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Yes. Analysis runs on detected visitors within the area you configure, so you can profile the whole entrance flow or a specific department, depending on the question you're asking.
You Know The Traffic Number, Now Know Who’s Behind It
GET STARTED
Advanced Visitor Analysis turns your door count into a customer profile — aggregated, anonymous, and built on the cameras already securing your store. Tell us what decisions you're trying to make and we'll show you what the data looks like.