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Guide

What a Regular Is Actually Worth

Most venues treat regulars as a feeling rather than a number, so the perks go to the loudest rather than the most valuable. How to compute what a regular returns, and why the guest who visits most is often not the one to protect.

Ask who your best regulars are and you will get names quickly.

Ask what those names returned last year and the room goes quiet.

Regular status is usually a feeling, and feelings reward whoever is most visible — which is not the same as whoever is most valuable.

Three different things get called "regular"

Frequent    comes often. Spend per visit may be small
Big         comes rarely. Spends heavily each time
Durable     has been coming for years at a steady rate

These need different handling and usually get the same handling. The frequent guest is the one staff know by name, so the perks drift there — while the durable guest, who quietly funds the year, gets nothing and eventually stops.

The number

Annual value = visits in twelve months × average spend
             − whatever you gave away to keep them

The second line is the one nobody subtracts. Comped drinks, a table held on a busy night, the priority booking that displaced a full-price party. Those are real, and they land almost entirely on the frequent guest.

Subtract them and the ranking often changes.

The question that matters more than value

If this guest stopped coming tomorrow, would we notice within a month?

If the answer is no, they are not a regular — they are a habit. And habits end without notice.

The guests you would notice are the ones worth building something for. There are usually fewer than people assume.

Concentration is the risk nobody prices

What share of last year came from your top ten guests?
What share of one staff member's number is one guest?
How many of your top ten have a relationship with one person only?

The third line is the exposure. A guest attached to one staff member is not your regular — they are that person's regular, on your premises. When that person leaves, so do they.

This is not a reason to interfere with the relationship. It is a reason to know how much of the year depends on it.

What actually keeps regulars

The things that hold people are usually smaller than the things venues spend on.

Being recognised          the name, without being asked
The record being right    their usual, their date, what went wrong last time
Not being made to wait    on the night they came specifically for you
A reason to come back      given at the door, not by message afterwards

Three of the four are records, not generosity. A venue that remembers accurately outperforms one that discounts heavily, and it costs less.

⚠️ Do not build a tier programme first

Formal tiers are the most visible thing to do and rarely the highest-return one.

Before tiers   fix the record. Recognition is worth more than a discount
Before tiers   find out whether you have concentration risk
Before tiers   check the frequent / big / durable split

A tier that rewards frequency will move spend from your durable guests to your frequent ones — which usually makes the annual number worse.

The list to build this month

For your top twenty by annual value:

Visits, spend, and both over twelve months
What was comped or held for them
Which staff member they are attached to
Days since last visit, against their own normal gap

The last line is the early warning. A guest who normally comes every three weeks and has been away six is not "due" — they have already gone somewhere else and you have a fortnight to find out why.

The system we built

tasteck is a booking and analytics system for night venues, built by people who ran them for sixteen years and grew from ¥200 million to ¥1.2 billion a year — six-fold, by attacking the business with systems rather than by pushing harder on sales.

What it does here: guest history per person, so annual value and visit rhythm are queries rather than impressions. Bookings carry the staff member, so concentration per person is visible. Settlement broken out by line, with the house share and the individual share separate, so what was given away sits next to what was taken. Guest notes held by the venue rather than in someone's phone. Four-quadrant segmentation, so frequent and big are not collapsed into one label.

What it does not do: it does not run a loyalty programme, does not issue tiers or points for your guests, and does not decide who counts as a regular. That definition is yours; what it supplies is the arithmetic underneath it.

The output no one else produces

tasteck outputs the maximum you can spend on each marketing channel next month, as an amount in your currency.

Regulars are the reason that number is not just acquisition cost. The ceiling is computed from the lifetime value of the guests each source actually delivered — so a channel that delivers people who become regulars carries a far higher ceiling than one delivering equal numbers who visit once. Per-booking acquisition cost cannot see that difference, and it is the whole difference.

Nothing else in the nightlife category produces that figure.

Ask it from ChatGPT

tasteck connects to ChatGPT over MCP: ask your numbers as a question and the answer comes back in the chat — your top twenty by annual value, who is overdue against their own rhythm, how much of one staff member's number is one guest. → Setup guide

Multi-language is built in, the operating surface itself, with your language set during onboarding.

From $34 a month for up to two locations. Thirty days free on every plan, cancel any time.Pricing

Start this month

  1. Rank your top twenty by annual value, not by visit count.
  2. Subtract what you gave away. The ranking will move.
  3. Ask the noticing question for each of them. Fewer will pass than you expect.
  4. Check concentration — top ten share, and one-relationship dependence.
  5. Flag anyone overdue against their own gap. That is the fortnight you have.

Read next


On benchmarks. No target regular shares, concentration thresholds, or annual-value figures appear in this guide. We do not have a dataset broad enough to publish them, and they vary enormously by format, city and price point. Twelve months of your own top twenty, net of what you gave away, will reorder the list you thought you knew.

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