The benchmark for social entertainment concepts

Know where you actually stand

Contribute your venue economics. Get the whole category's back.

Seventeen questions · about six minutes · your figures are never published or attributed

The exchange

One trade, no subscription

You cannot buy your way in. The only currency is data — which is what keeps the benchmark honest, and stops it becoming a vendor's marketing asset.

You give

Your unit economics

Revenue mix, cost of goods, labour, occupancy, utilisation, margin. The figures that never leave a management pack.

We pool

Aggregate only

Combined with every other social entertainment operator's, and never published, attributed, or shown to another operator on their own.

You get

The category's numbers

Line by line against comparable concepts — so you can see which part of your P&L is out of step, not just that something is.

What comes back

Your venue vs your competitors

Every cost line benchmarked separately against comparable social entertainment concepts — so you can see exactly which one is out of step.

Cost structure, as a share of revenue

Your venue against the social entertainment category average

Illustrative example
Your venue Competitors — category average
0% 10% 20% 30% 40% Food & beverage cost 28.4% 23.1% 5.3 pts higher Labour cost 31.2% 33.0% 1.8 pts lower Occupancy cost 12.3% 12.1% In line Marketing spend 3.8% 4.6% 0.8 pts lower Four-wall EBITDA margin 24.3% 27.2% 2.9 pts lower
Food & beverage cost5.3 pts higher
You28.4%
Category23.1%
Labour cost1.8 pts lower
You31.2%
Category33.0%
Occupancy costIn line
You12.3%
Category12.1%
Marketing spend0.8 pts lower
You3.8%
Category4.6%
Four-wall EBITDA margin2.9 pts lower
You24.3%
Category27.2%

Illustrative figures only. Labour, occupancy and marketing all sit at or better than the category — but food cost runs 5.3 points hot, and that single line accounts for almost the whole 2.9-point gap in four-wall margin. On a $40M business that is roughly $1.2M. Without the category beside you, it reads as a soft year rather than a solvable cost problem.

The gap

Why you can't already do this

Hotels have RevPAR

Restaurants have same-store sales and published cost benchmarks. Every mature category has numbers that say whether you are winning. Social entertainment has none.

The category is too new

Most social entertainment concepts are under ten years old and privately held. There is no decades-deep dataset the way there is in hotels or restaurants.

The real numbers are private

Food cost, labour ratio, occupancy, utilisation, four-wall margin — none of it is disclosed anywhere. It exists only inside operators' own management packs.

So a soft quarter is unreadable

Down 6% — is that you, or is that everyone? And which line caused it? Today there is no way to know. That is what XPI exists to answer.

What happens to your figures

Plainly, in advance

Written before we asked you for anything, not after. If any of this changes, contributors are told before the next collection round — not in a revised policy nobody reads.

Aggregate only, always

Your figures are combined with other operators' before anything is published. No individual operator's numbers are released, shown to another contributor, or included in any report attributed to a company.

A minimum panel threshold

No line is published unless enough operators have contributed to that line that no single one can be reverse-engineered from the result. Where the panel is too thin, the figure is withheld — as it will be at launch.

Never sold, never brokered

Contributed data is not sold, licensed to vendors, or shared with third parties for their own use. The exchange is data for data — that is the entire model, and it is the reason there is no subscription tier.

You keep a copy

We email you your own submission, so you always hold a record of exactly what you provided. Contributors may withdraw their data from future releases at any time, in writing.

This is a draft statement for a benchmark not yet incorporated. It is a description of intent, not a contract, and will be replaced by the Council's published data policy before the first collection round opens. Nothing entered into this prototype is stored, transmitted or retained.

Get started

See how you compare

Seventeen questions in three short sections. We pre-fill what we can find about your venues so you only answer what we can't.

Draft v0.1 · The contributor panel is not yet open — submissions join the founding cohort.

XPI

Contributor access

Your figures need an account.

So you can leave mid-way and come back, keep a record of what you submitted, and withdraw it later if you choose. No password — we use a one-time code.

We never ask for a password. Passwords get reused and leaked. A one-time code to your work address, plus a recovery code you keep, is both simpler and harder to compromise.

Create your account

What's your work email?

We'll send a six-digit code to confirm it's you. Use an address at your company's domain.

Enter ↵

Confirm it's you

Enter the six-digit code.

Sent to your address. It expires in ten minutes.

Enter ↵

Save this now

Your recovery code.

This is the only way back into your submission if you lose access to that email address. We cannot regenerate it or look it up — that's what makes it a recovery code.

———— ———— ————

Store it the way you'd store a shared credential — a password manager, or wherever your team keeps recovery keys. Not in the same inbox as the login email.

Signed in

Welcome back.

Picking up where you left off.

XPI
Getting started0%
Scale Demand Economics

Your concept

What's your company's website?

We'll look up your US venues so you don't have to type it.

https://

Looking up your venues…

Nothing you enter is ever published or attributed. Figures are released in aggregate only, never below the minimum panel threshold, so no operator's numbers can be reverse-engineered.

Scale · 01

How many US venues do you operate?

Company-operated only — not franchised, licensed or managed.

Enter ↵

Scale · 02

Bookable capacity units per venue?

Bays, lanes, courts, tables — the fixed unit a guest books. Estate average is fine.

per venue

Enter ↵

Scale · 03

Scheduled trading hours per week?

Hours a venue is open and bookable, before deducting closures. This is what turns fixed capacity into available capacity.

hrs / week

Enter ↵

Scale · 04

Typical venue size?

Interior square footage of a representative venue. Paired with capacity, it shows how efficiently you use space.

sq ft

Enter ↵

Scale · 05

Smallest and largest venue?

The range across your estate, in square feet. Shows us how uniform your format is.

sq ft — smallest
sq ft — largest

Enter ↵

Demand · 06

What share of available play-hours actually sold?

Your utilisation rate — booked hours divided by hours available, across a full year.

% utilised

Enter ↵

No operator publishes this. Utilisation is the most requested figure in the category and the reason a benchmark has never existed — it cannot be estimated from the outside.

Demand · 07

Average spend per visit?

Total revenue divided by total visits — your per-capita spend across all revenue lines.

$per visit

Enter ↵

Demand · 08

Average party size?

Typical number of guests per booking. Party size drives both throughput and how spend splits between the activity and F&B.

guests

Enter ↵

Demand · 09

Average guest dwell time?

How long a typical guest stays, door to door. Dwell time is what separates a drive-to-play format from a hang-and-graze one.

minutes

Enter ↵

Demand · 10

What share of guests returned within 365 days?

Guests with a second visit inside a year. Repeat rate is the clearest read on whether the concept itself is working.

% returned

Enter ↵

Demand · 11

What share comes from groups and corporate events?

Pre-booked group, party and corporate revenue as a share of total. Pre-booked revenue is the most defensible kind you have.

% of revenue

Enter ↵

Economics · 12

Total revenue, last full year?

Across all company-operated venues.

$

Enter ↵

The remaining questions are P&L lines. They are the reason the benchmark is worth having — and the reason it is aggregate-only, threshold-gated, and never attributed.

Economics · 13

What share of revenue is food and beverage?

F&B as a percentage of total venue revenue. In this category it commonly runs 40–50%.

% of revenue

Enter ↵

Economics · 14

Food and beverage cost of goods?

F&B COGS as a percentage of F&B revenue — what the food and drink actually costs you.

% of F&B rev

Enter ↵

Economics · 15

Total labour cost?

Venue-level wages, benefits and payroll taxes as a percentage of revenue. Exclude corporate overhead.

% of revenue

Enter ↵

Economics · 16

Occupancy cost per venue?

Rent, service charge and property taxes. Enter it whichever way you have it to hand.

$per venue / yr

Enter ↵

Economics · 17

Venue-level EBITDA margin?

Four-wall margin before corporate overhead, as a percentage of revenue. Last one.

% margin

Enter ↵

Delivery

Where should we send your comparison?

One address. Not shared, not added to any list.

Enter ↵

We email you a copy of your own submission, so you always hold a record of exactly what you gave us.

Review

Check your figures.

Nothing is submitted until you confirm.

Received

Your comparison report is being prepared.

It takes a few minutes to compute and verify.

Sending to

  • 01
    Your RevPAPH. Revenue per available play-hour, computed from your capacity, hours and revenue. e.g. $4.10 vs $3.30 category
  • 02
    Cost lines vs the category. F&B cost, labour and occupancy, each benchmarked separately. e.g. food cost 5.3 pts hot
  • 03
    Demand profile. Utilisation, per-cap, party size, dwell time and repeat rate against operators of the same format and region.
  • 04
    Margin bridge. Which single line accounts for your margin gap. e.g. 2.9 pts ≈ $1.2M

There is no category benchmark yet. That's the actual state of social entertainment, not a gap in this form. It fills as operators contribute, and founding contributors shape how each line is defined before it fixes.

This is a prototype. Nothing was submitted, stored or emailed — every figure stayed in your browser.