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Guitar Being Played

How cresc. benchmarking works

Simple input. Powerful insight.

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01

You submit your pricing

You enter your typical hourly price per musician.
Don’t include setup, pack up or travel fees. Just your normal performance rate.
This keeps the data clean and comparable.

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02

Your data is anonymised

We remove identifying details before analysis.
No band names or contact details are ever displayed.
Only grouped trends are shown.

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03

We build pricing benchmarks

We currently analyse pricing based on the information collected in the form (number of musicians).
Additional filters such as originals vs covers, location, genre and event type are planned for future updates.
This creates realistic market ranges instead of misleading averages.

Data Analysis Charts
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04

You see where you fit

You’ll receive a personalised PDF report by email showing whether your pricing sits:

  • Below market

  • Around market

  • Above market

So you can adjust confidently — not emotionally.

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Pricing affects everything

Underpricing leads to burnout.
Overpricing leads to fewer bookings.
Knowing the market helps you grow sustainably — not just survive gig to gig.

Contribute your data. Strengthen the industry.

Understand your gig pricing with real market data

 

Cresc. is a gig pricing benchmark for Australian musicians and bands. By entering your fee per musician per hour, you receive a report showing how your pricing compares to others in your area and across similar band sizes.

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Instead of guessing what to charge, cresc. uses real contributed data to highlight market averages, common price ranges, and where your rate sits on the spectrum. This helps musicians price confidently for weddings, corporate events, pubs, and private functions.

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Gig pricing often includes more than just performance time — preparation, travel, equipment, pack-down, and admin all add up. Cresc. doesn’t tell you what to charge. It shows what the market is doing so you can make informed decisions.

 

Your data is anonymous and used only to build accurate pricing benchmarks.

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