Restaurant CRM · Guest segmentation

Guest segmentation for restaurants that need more than everyone on the list.

Group guests by how they book, visit, return and respond, so regulars, first-timers and lapsed guests do not all get the same message.

Reservation history
·

Opted-in guests · saved segments · bookings and covers

Built in Tableo

Guest context stays close to bookings

CRM Guest Segmentation
Tableo
Start

Audience starts from reservation history

Use

@ Segment, campaign or selected automation

Opted-in guests · templates · guest filters
Send

Message points guests back to book

Done

Bookings and covers visible

The gap

Restaurants know their guests, but the detail is hard to use.

A good maître d’ remembers faces. A busy restaurant needs more than memory. Tableo helps turn reservation history into working segments the team can actually use.

Without Tableo

the team works from stale lists, exports or memory.

With Tableo

the team works from reservation history, consent and restaurant-specific guest filters.

Reservation signals
What Tableo can use
◷
Reservation history

Visits, timing and return behaviour

CRM
☷
Guest filters

Channel, origin, behaviour and guest tags

Segment
✉
Opted-in guests

Campaigns and selected automations

Send
↺
Bookings and covers

Practical reporting, not invented revenue

Report
How it works

How segmentation works in Tableo.

The workflow stays practical: find the right guests, use the right message, then check whether the diary moved.

01

HIST

Use reservation history as the base

Start with past visits, timing, frequency, covers and booking behaviour.

02

FILT

Add guest filters

Narrow by guest tags, origin, booking channel, behaviour or last visit.

03

SAVE

Save useful groups

Keep segments the team will use again.

04

USE

Use segments in follow-up

Apply the audience to email campaigns and retention follow-up.

Features

Segmentation built for restaurant decisions.

Focused tools for real restaurant decisions, not abstract CRM busywork.

Included tools

Booking-connected marketing

History
feature

Reservation history filters

Inside Tableo
◆
Patterns over time

Build groups from real guest activity.

Origin
feature

Channel and origin detail

Inside Tableo
◆
Where guests came from

Separate direct bookings, campaign-driven guests or other useful origins.

Type
feature

Guest tags and behaviour filters

Inside Tableo
◆
Not every guest is the same

Separate regulars, first-timers, VIPs or high spenders using behaviour and guest tags.

Use cases

Where restaurants actually use it

Segments that help the floor and the marketing plan.

Concrete moments where reservation history changes the next action.

Regulars
use case

Regulars worth a personal touch

✉
Protect good relationships

Make sure frequent guests are not treated like anonymous first-timers.

Lapsed
use case

Lapsed guests who need a reason

✉
Spot the drop-off

Find guests who have dropped out of their usual pattern.

Events
use case

Event-friendly guests

✉
Promote to likely tables

Group guests who have booked similar experiences before.

Why booking-connected

Basic lists are blunt. Tableo keeps guest marketing close to reservation history and restaurant context.

A separate marketing tool

Good at sending. Weak on restaurant context.

→

Needs someone to export or sync a list.

→

Loses the link between the guest and the reservation diary.

→

Usually stops at opens and clicks.

→

Creates another place for the team to clean guest data.

Useful for generic newsletters. Less useful when the audience depends on reservation history.

Guest Marketing & CRM in Tableo

Built around the diary.

✓

Guest records and reservation history stay connected.

✓

Segments can use reservation history, booking channel, origin, behaviour and guest tags.

✓

Campaigns use opted-in guests and saved segments.

✓

Bookings and covers show whether the activity moved the diary.

Built for restaurants that want marketing close to bookings, not in a separate list.

Proof, not vanity

Build campaigns from the way guests actually behave.

For restaurants, the useful signal is whether guests came back into the diary. Keep the claim to bookings and covers, not revenue reporting.

Bookings generated
Bookings + covers
@
Email campaign

Opted-in guests or saved segment

Booked

covers tracked

↺
We Miss You

Live automation

Booked

source visible

♥
Birthday or Anniversary

Email or SMS where enabled

Booked

status shown

Questions

Guest segmentation questions.

Keep it honest.

These pages sell the product scope Tableo can support now: campaigns, segmentation, Birthday, Anniversary and We Miss You automations, plus bookings/covers reporting.

Booking-connected
Claim-hardened
Reservation history and last visit, booking channel, origin, guest behaviour, and guest tags such as VIP, regular or high spender.
Yes. Save an audience once, for example lapsed guests or locals, and reuse it across campaigns whenever you need it.
In email campaigns sent to opted-in guests, and to shape retention follow-up. Segments are built from the same reservation history your team already works in.
No. Segmentation starts from booking history you already collect, so a manager can build and reuse audiences without a dedicated marketing hire.

Stop sending the same message to every guest.

Use Tableo to turn reservation history into cleaner guest marketing and follow-up.

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