Decision intelligence for independent touring artists

Know before
you book.

Stage tells you where to play, which venues fit, and what the show needs to earn — before you say yes to the date.
Built for the booking decision

Turn scattered audience data and past-show history into market rankings, venue-fit recommendations, and real break-even math.

MARKET SCORE ✦ STAGE FIT SCORE ✦ BREAK-EVEN MATH ✦ ROUTE PLANNING ✦ EXPLAINED RECOMMENDATIONS ✦ MARKET SCORE ✦ STAGE FIT SCORE ✦ BREAK-EVEN MATH ✦ ROUTE PLANNING ✦ EXPLAINED RECOMMENDATIONS ✦
01 / The problem

Touring shouldn’t start with a guess.

Most independent artists still choose markets from instinct, relationships, or where everyone else seems to be playing. Stage puts the audience and economics in front of you before the commitment.

01

“Where should we play next?”

Rank cities using signals from your own audience and historical performance—not generic popularity.

02

“Is this venue actually right for us?”

Compare fit across capacity, market strength, historical draw, and the realities of the room.

03

“Does this offer make financial sense?”

Know the tickets, gross, costs, and break-even point before the show becomes an expensive lesson.

02 / The product

From raw signals to a clear decision.

Stage doesn’t stop at charts. It turns your inputs into an actionable recommendation, shows the math behind it, and tells you how confident that recommendation is.

Market recommendation
Chicago, IL
High confidence
Market Score
84
Audience densityStrong
Streaming momentum+18%
Past show signalPositive
Recommended room

Lincoln Hall

Stage Fit Score
91 / 100
Break-even attendance
318
At a modeled $22 avg ticket
Inputs complete enough to recommend
A

Market Score

See which cities are actually worth pursuing based on your own signals.

B

Stage Fit Score

Rank venues inside each market by how well the room fits the opportunity.

C

Show economics

Model ticket price, capacity, costs, and break-even using deterministic math.

D

Recommendation context

Every recommendation explains what drove it, how confident Stage is, and what data is missing.

E

Route planning

Save strong city + venue combinations into a route and export a clean planning report.

03 / How it works

Five steps. One better booking decision.

Stage is intentionally focused on the planning window before a show gets booked. Once the decision is made, Stage has done its job.

01

Bring your data

Upload audience signals and show history from the tools you already use.

02

Rank markets

See which cities show the strongest opportunity for your specific audience.

03

Find venue fit

Compare rooms inside a city using Stage Fit Score.

04

Run the math

Understand ticket scenarios and break-even before committing.

05

Build the route

Save the strongest recommendations and export the plan.

04 / The difference

Not another tour manager.

Tour-management tools organize the show after it’s booked. Stage helps you decide whether it should be booked at all.

The product stops at the decision — by design.
05 / Who it’s for

Built for independent teams making real touring calls.

Musicians performing an intimate live show for an audience
Built for the shows where every decision counts.
Primary

Independent touring artists

Self-managed and lightly managed acts playing roughly 10–60 shows per year, mostly in rooms under 2,500 capacity, with enough data to know something—but not enough infrastructure to turn it into a decision.

Self-managedEmergingDevelopingTouring
Secondary

Managers + booking agents

Collaborate across a roster, compare opportunities, and work inside artist-controlled permissions for recommendations and financial visibility.

Roster viewPermissionsFinancial accessCollaboration
Early access

Make the call with the numbers in front of you.

Stage is being built for independent artists and teams who want touring decisions grounded in audience fit and show economics—not instinct alone.

Join early access →