ADENTRO FOR COFFEE SHOPS & CAFÉS

Be more than their
once-in-a-while coffee.

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.

A LITTLE CONNECTION. A FAMILIAR ROUTINE.
01A guest connects
9:41
GOOD DAY COFFEEGUEST CONNECTION
You’re in
good company.

Welcome. Make yourself at home.

Your email address
Connect to guest WiFi
02A routine takes shape
The visit routineExample
Jordan’s visit patternSample 28-day window
MTWTFSS12345678910111213141516171819202122232425262728
Regular4 observed visits
Illustrative recency and frequency—not purchase preferences.
03A relevant invitation follows
A relevant invitationExample
FROM GOOD DAY COFFEE
Your good day is waiting.
See what’s new
A campaign example for eligible past visitors.

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.

THE OPPORTUNITY

You recognize familiar faces.
Now your marketing can, too.

A first-time visitor and a weekly regular do not need the same message. Visit data helps you tell the difference.

01

Welcome the new face

Build an audience of eligible guests after their first observed visit.

02

Understand the routine

Compare observed visit frequency without assuming purchase preferences.

03

Notice when it changes

Create a relevant invitation for guests who have not returned recently.

PUT THE RELATIONSHIP TO WORK

The right next step starts
with the visit.

Explore a few ways to turn customer context into a more relevant invitation.

A REAL-WORLD MOMENT. A RELEVANT CAMPAIGN.
A FIRST CUP

Turn a good first impression into a second visit.

Welcome eligible new guests with a thoughtful introduction to your café.

Review observed second visits.
GOOD DAY COFFEEILLUSTRATIVE CAMPAIGN

Good to meet you. Good to see you again.

MADE FOR YOUR NEXT VISIT
THE AUDIENCE
New, opted-in WiFi guests
JLSMAKTREligible audience

Fictional campaign examples. Audience eligibility, permissions, and supported channels depend on the setup.

THE CONNECTED VIEW

Understand loyalty
through real visits.

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.

01

Visit frequency

See how often identified guests are observed.

02

Visit recency

Understand how long it has been since the last observed visit.

03

Loyalty context

Add supported membership data without assuming causation.

The visit routineExample
Jordan’s visit patternSample 28-day window
MTWTFSS12345678910111213141516171819202122232425262728
Regular4 observed visits
Illustrative recency and frequency—not purchase preferences.

Sample calendar and customer, not a live customer record.

CUSTOMER STORY
Peet’s Coffee

See what loyalty looks like in person.

Peet’s Coffee used visit data to compare active loyalty members with non-members.

Read the customer story
Loyalty, in context.Visit behavior alongside membershipObserved visit behavior alongside membership—not proof that membership caused a change.
FIT YOUR EXISTING SETUP

Works alongside the café experience.

Keep the guest connection simple and branded. Discuss your WiFi setup, loyalty system, and the visit patterns your team wants to understand.

Talk through your setup
Your guest WiFiSupported setup
Your customer toolsSupported connections
Your marketing goalsShared measurement plan
A FEW THINGS TO KNOW

Good questions.
Clear answers.

Can we see how often guests visit?

Adentro 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.

Can we compare loyalty members and non-members?

Where membership data is supported and matched, comparisons can be useful. Observational differences do not by themselves prove that membership caused a change.

Does Adentro know a guest’s usual order?

Not from WiFi visit data alone. Item or purchase information requires a separately supported transaction-data connection and appropriate matching.

LET’S MAKE THE NEXT VISIT COUNT

Make the next visit
part of something familiar.

See how customer connections and observed visit patterns can support your café’s growth.