Welcome the new face
Build an audience of eligible guests after their first observed visit.
Get to know the people behind the daily rush. Build an eligible guest audience, understand visit patterns, and give familiar faces a reason to make you part of their routine.
Welcome. Make yourself at home.
Make guest WiFi part of a branded welcome.
Use observed visit history to see the relationship beyond the cup. Illustrative experience; businesses, profiles, and demo data are fictional.
A first-time visitor and a weekly regular do not need the same message. Visit data helps you tell the difference.
Build an audience of eligible guests after their first observed visit.
Compare observed visit frequency without assuming purchase preferences.
Create a relevant invitation for guests who have not returned recently.
Explore a few ways to turn customer context into a more relevant invitation.
Welcome eligible new guests with a thoughtful introduction to your café.
Keep regular visitors informed with news that feels useful—not a win-back message they do not need.
Use a recency window that makes sense for your café to identify eligible guests to reach again.
Fictional campaign examples. Audience eligibility, permissions, and supported channels depend on the setup.
Bring an observed visit view to the customer conversation. Where loyalty data is supported and matched, compare member and non-member behavior with the right context.
See how often identified guests are observed.
Understand how long it has been since the last observed visit.
Add supported membership data without assuming causation.
Sample calendar and customer, not a live customer record.
Peet’s Coffee used visit data to compare active loyalty members with non-members.
Read the customer storyKeep the guest connection simple and branded. Discuss your WiFi setup, loyalty system, and the visit patterns your team wants to understand.
Talk through your setupAdentro can report observed visits for identified guests in a supported setup. This is not the same as every purchase, every visitor, or a complete attendance count.
Where membership data is supported and matched, comparisons can be useful. Observational differences do not by themselves prove that membership caused a change.
Not from WiFi visit data alone. Item or purchase information requires a separately supported transaction-data connection and appropriate matching.
See how customer connections and observed visit patterns can support your café’s growth.
See which ads drove real visits for one brand with 50+ locations, from month one to year six.