01
See first-time and returning visits
Understand the mix of observed new and returning visits at each location.
MEASURE / FOOT TRAFFIC ANALYTICSKnow who comes back,
Know who comes back,
not just how many people walk in.
There’s more to traffic than a total. See observed first-time and repeat visits, compare patterns across locations, and get a clearer picture of who keeps coming back.
SAME LOCATIONS. MORE CUSTOMER CONTEXT.Product illustration
GOOD DAY COFFEE / OBSERVED VISITS
Sample dataAll participating locations
Observed visits4,800
Qualifying WiFi-based visit signals
60%returning
Returning visits2,880
First-time visits1,920
First-time and returning visitsIllustrative week
1,0005000
Observed visits—not a count of everyone through the door.
GOOD DAY COFFEE / OBSERVED VISITS
Sample dataSilver Lake
Observed visits1,860
Qualifying WiFi-based visit signals
60%returning
Returning visits1,116
First-time visits744
First-time and returning visitsIllustrative week
4002000
Observed visits—not a count of everyone through the door.
GOOD DAY COFFEE / OBSERVED VISITS
Sample dataWestside
Observed visits1,620
Qualifying WiFi-based visit signals
50%returning
Returning visits810
First-time visits810
First-time and returning visitsIllustrative week
4002000
Observed visits—not a count of everyone through the door.
GOOD DAY COFFEE / OBSERVED VISITS
Sample dataDowntown
Observed visits1,320
Qualifying WiFi-based visit signals
72%returning
Returning visits954
First-time visits366
First-time and returning visitsIllustrative week
4002000
Observed visits—not a count of everyone through the door.
Illustrative product experience. Fictional people, businesses, interfaces and data.
Read the patterns behind the visits.
THE OPPORTUNITY
Turn traffic patterns into decisions.
Give your team more context for the next customer, campaign, or location decision.
02
Notice when habits change
Follow visit recency and frequency to see where customer relationships are growing—or going quiet.
03
Give locations a shared view
Bring marketing and operations together around consistent observed-visit data.
01 / THE SAME TRAFFIC. A DIFFERENT CUSTOMER STORY.
The same traffic can tell a different story.
Two stores can have similar visit totals but very different customers. One may welcome more first-time guests; another may depend on regulars. Visit history helps you decide whether to focus on new customers, repeat visits, or reconnecting.
THREE LOCATIONS. THREE CUSTOMER PATTERNS.Product illustration
Silver Lake
1,860observed visits
- Returning
- 1,116
- First-time
- 744
Repeat relationships are a useful part of the story.
Westside
1,620observed visits
- Returning
- 810
- First-time
- 810
A balanced mix of first-time and repeat visits.
Downtown
1,320observed visits
- Returning
- 954
- First-time
- 366
Returning guests account for a larger share.
Illustrative visit data for the same example week. Observed WiFi visits are not universal footfall counts.
02 / TURN A PATTERN INTO YOUR NEXT MOVE.
Put your campaigns in context.
Pair foot traffic patterns with Walk-Through Rate to see which ad-exposed audiences were later observed at your locations. It’s another way to understand the response beyond online engagement.
TURN VISIT HISTORY INTO AN ACTIONABLE AUDIENCE.Product illustration
ILLUSTRATIVE AUDIENCE DEFINITION
Guests to bring back
Visit behaviorHas visited at least once
ANDLast observed visit45 or more days ago
ANDLocationSilver Lake + Westside
ANDMarketing permissionEligible for selected channel
ANDBring visit behavior into the brief.
THE RESULT2,480eligible contacts in this example
MCNRLPOH+
LPLena ParkLast visit: 45 days agoLapsed
OHOmar HassanLast visit: 53 days agoLapsed
AMAlex MorganLast visit: 62 days agoLapsed
Illustrative product experience. Fictional people, businesses, interfaces and data.
CUSTOMER STORY / BOWLEROReal visits.
Real visits.
A more useful outcome.
Bowlero’s published Adentro case study reports 789,011 campaign-linked walk-throughs, connecting marketing activity with observed in-person response.
Read the customer story789,011
reported campaign-linked walk-throughs
In persona location-level outcome beyond clicks
BowleroCampaign-linked walk-throughs, not total venue attendance
HOW IT WORKS
See the patterns behind the visits.
See the visits
Adentro records qualifying WiFi-based visit signals at participating locations.
Find the pattern
Explore observed first-time and repeat visits, along with recency and frequency.
Choose the next move
Use that context to shape audiences, campaigns, and location decisions.
A shared view for marketing and operations.
Use the same observed-visit data to understand returning customers, compare participating locations, and make reporting useful to the teams responsible for in-person results.
Explore integrationsA FEW MORE DETAILSGood questions.
Good questions.
Clear answers.
Does this count every visitor?+
No. Adentro reports visits it can observe under its WiFi-based measurement rules. It isn’t a universal people counter.
Can we compare locations?+
Yes, when participating locations have enough comparable data.
Can we connect this to advertising?+
Yes. Walk-Through Rate connects eligible ad exposure with observed visits, adding a campaign view to your broader traffic patterns.
LET’S CONNECT
Get to know the patterns behind your visits.
Let’s turn observed visits into a clearer picture of what’s happening at your locations.
Book a demo