Douhan: The Shift That Starts Before the Shift

Douhan — a hostess arriving at the club with a guest, usually after dinner — is one of the few things in this business that everyone counts and almost nobody costs.

It goes on the board. It goes in the ranking. It goes into the target. What does not go anywhere is the two hours that happened before the door.

What a douhan actually is

Strip the ceremony away and it is three things at once:

A guaranteed arrival     the table is not empty at open
A pre-paid relationship  dinner happened, usually on the guest
Unpaid working time      two hours she was not on shift

The first two are the club's. The third is hers. Any policy that ignores the third line eventually costs you the person.

The number nobody computes

Douhan return = what that guest spent in-house that night
              − what the douhan cost to produce

The second term is where it falls apart, because most clubs have never written it down. It includes her unpaid hours, and it includes the fact that a guest who has already eaten and already drunk arrives with less appetite and less time.

A douhan is not free revenue. It is revenue moved earlier and, often, revenue reduced. Whether it nets positive depends entirely on what happens after the door — and that part is measurable.

Three ways a douhan target damages a roster

One — it prices the slow nights out of reach.

A monthly douhan quota is easy to hit for someone with a deep book of regulars and close to impossible for someone in month three. The quota does not measure effort; it measures seniority. Applied flatly, it tells your newest people they are failing at something they cannot yet do.

Two — it converts relationships into obligations.

A hostess chasing a quota at month-end asks guests she would not otherwise ask. Those asks spend down the relationship, and the cost lands next quarter as a regular who stopped answering.

Three — it hides in the ranking.

Douhan counts often sit in the same ranking as sales, which means someone with fewer, larger guests can look weaker than someone with many small ones. The ranking is not wrong; it is measuring two different things and adding them.

What to measure instead of the count

Douhan → in-house spend that night, per hostess
Douhan → whether that guest returned within 30 days
Douhan frequency per guest        is one guest carrying the whole number?
Douhan count vs months of tenure  is the quota measuring seniority?

The second line is the one that matters most and is checked least. A douhan that produces a return visit is worth several that do not, and the difference is invisible in a count.

The third line finds the quiet failure. If one guest supplies half of someone's douhan for the month, that is not a book of business — it is a single relationship carrying a quota, and it will break.

Setting a target that does not break people

Scale it by tenure. A first-year target and a fifth-year target should not be the same number. This is obvious, and it is very rarely done.

Weight it by what followed. Count a douhan that produced a return visit as more than one that did not. You will immediately see behaviour change — toward guests worth keeping, and away from month-end scrambling.

Cap the concentration. Beyond a certain share from a single guest, the extra ones stop counting. This protects the hostess from building on one relationship as much as it protects you.

⚠️ Never announce a douhan quota change in the same week as a fee or split change. Two changes at once and you will never know which one caused what followed — and something will follow.

The dinner question

Who pays for dinner is a policy, not a detail, and the honest answer varies:

The guest pays         most common, and the relationship carries the cost
The hostess pays       happens more than clubs admit. This is a pay cut
The club contributes   rare, and it changes the maths completely

If your hostesses are paying for douhan dinners out of their own earnings, your douhan target is a deduction from wages. It will not read that way on any report you have. It reads that way to them.

When douhan is the wrong lever

Weak opening hour, strong late hour   a scheduling problem, not a douhan problem
Full room, low spend                  a menu and service problem
High douhan, low return visits        the relationship is being spent, not built
New staff failing the quota           the quota is wrong, not the staff

Douhan is a lever for filling the early hours. Aimed at a revenue problem that lives somewhere else, it produces motion and no result.

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: every booking carries which hostess it belongs to and how it arrived, so a douhan and a walk-in are distinguishable rather than both being "a table at seven". Guest history per person, so "did that guest come back" is a query and not a memory. Settlement broken out by line with the house share and the individual share held separately, so what a douhan night actually produced is visible without reconstruction. Shift submission kept as a record, so tenure and target can be looked at side by side.

What it does not do: it does not set your douhan policy, does not compute a quota, and has no opinion on who pays for dinner. Those are yours. What it supplies is the record that makes them arguable instead of felt.

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.

Douhan is a channel — it is guest acquisition performed by your own staff, paid for in their unpaid time. Put next to what a paid channel costs to deliver a guest of the same value, it stops being a cultural expectation and becomes a comparable line. Some clubs find douhan is their cheapest channel. Some find it is their most expensive one. Neither knows until the figure exists.

The ceiling is computed from the lifetime value of the guests each source actually delivered. 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 — which douhan guests returned within a month, whose douhan comes from a single person, what a douhan table spends against a walk-in.

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

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

Start this month

1. For last month's douhan, look up in-house spend that night. Compare it to a normal table.
2. Check 30-day return rate on douhan guests. This is the number that decides whether the practice is building anything.
3. Look for concentration. Anyone whose douhan comes mostly from one guest is exposed.
4. Plot douhan count against months of tenure. If the line is steep, your quota is measuring seniority.
5. Find out who is paying for the dinners. Ask, do not assume.

Read next

• Hostess Club Software: Table Rotation and Shimei
• Why Your Best Staff Leave in Month Four
• What a Quiet Phone Is Costing You
• House Fees Without Losing Your Floor
• Hostess Club Software

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On benchmarks. No target douhan counts, return rates, or spend ratios appear in this guide. We do not have a dataset broad enough to publish them, and they vary enormously by city, format and price point. One month of your own douhan, checked for 30-day returns, will tell you more than any published figure.