Your logged actuals vs. the projected curve to event night. Shaded cone is the P10–P90 range; lines mark break-even, your model's target, and capacity.
Enter how many new GA and VIP you've sold since last time — it adds to your running total (shown per bucket). The tool prices them across your tiers automatically (cheapest first, using the projected quantities below). Set the date and record. (Importing seeds the starting total from your Actual Sales tab.)
| Date | Days out | This update | Total sold | Net $ | BE odds |
|---|
How many you'd need sold by each point before the show to be on break-even pace, vs. where you are (✓) or where you're trending (~). Change costs, pricing, holiday or the curve and watch it move.
| Out | Date | Need (BE) | You have |
|---|
Face price, your projected allocation, and net per ticket after platform fees.
| Tier | Type | Face $ | Proj qty | Net $ |
|---|
Fixed costs to put the night on. Imports from your Full Costs (Estimate) column.
| Line item | Amount $ |
|---|
Extra revenue beyond tickets. Tables and the bar scale with turnout; vendors stay fixed. Each table splits into a % that goes straight to you, with the rest counted as bar spend (which earns your bar cut).
| Type | Cost $ | Avail | % dir | → you |
|---|
| Table type | Sold for $ |
|---|
| Type | Cost $ | Avail | → you |
|---|
| Vendor | Sold for $ |
|---|
A few plain choices set your projection — no spreadsheets required. Here's exactly what the tool is doing, in plain English with your live numbers:
Already done shows on Eventbrite, Dice, RA, or another platform? Upload their exports to seed calibration — the model learns your brand's real sell-through before you even log a Fam Sessions event. Eventbrite CSV is auto-detected; anything else uses a quick column mapper.
Log how each finished event actually ended, and the projection tunes its optimism and its uncertainty to Fam Sessions' real track record — instead of a generic club-night curve. Brand-level: it carries across every event you load.
These tags weight how much each past event influences your current projection — e.g. a past Tipper show is a stronger comparable for a current Tipper show than a techno night. Optional, but each tag added sharpens it.