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Real time · 05 / 10

A customer record that fills itself in.

Bookings, receipts, treatments, stays, messages: everything converges on the same person. No CSV import, no duplicates, no reliance on the head waiter’s memory.

See this module in a demo
Management team gathered around a customer dashboard

What it changes

The details that hold a service together.

01

Automatic reconciliation

Phone, email, card fingerprint, stay number: identities merge on their own. The family that books under three different first names becomes one household.

02

Preferences and constraints

Allergens, preferred table, usual wine, pillow, requested therapist. The information is pushed where it is useful: to the pass, to reception, to the treatment room.

03

Living segments

Segments recalculate continuously: lunch regulars, spa guests who have never dined, business stays to convert into weekends. No export to refresh.

04

Useful campaigns

Sequences triggered by real behaviour — a return after ninety days away, the anniversary of a first stay, an unfinished treatment course — rather than by the newsletter on the first of the month.

05

Real customer value

Cumulative revenue across every activity, margin, frequency, acquisition channel. The VIP is the one who spends, not the one who speaks loudest.

06

GDPR by design

Consent by purpose, retention periods, one-click export and erasure, access traceability. The processing register is kept, not promised.

How it works

Four moments, one single entry.

The module never asks for the same information twice. Each step writes to the shared database, and the next one reads what it needs from it.

  1. 01

    The data enters once

    From the booking, the till, the spa, the PMS or the AI agent. No re-entry.

  2. 02

    Identities converge

    Continuous deduplication, assisted merging for ambiguous cases, history preserved.

  3. 03

    The team gets what it needs

    The right detail at the right station, at the right moment, without opening another tool.

  4. 04

    The reminder fires

    Automatic campaigns and gestures, measured in reattributed revenue.

Measured at our customers’

Figures recorded in operation, not in a laboratory.

34%
of records deduplicated when existing databases are migrated
×2.7
average spend between an identified and an anonymous customer
11 days
average time to return after a behaviour-triggered reminder

Frequently asked

What people ask us before signing.

Can we import an existing database?

Yes, with a deduplication pass before integration and a detailed report of the proposed merges for your approval.

Does the CRM talk to our email tools?

Segments synchronise with Brevo, Mailchimp and Klaviyo, or can be used directly in OpenFlow campaigns.