Comparing actual event results to your forecast (and what to change next time)
A forecast that is never checked against reality cannot improve. The post-event review is short, unglamorous and the single highest-return hour in the whole event cycle.
Compare like for like
Record actual attendance, actual revenue by stream and actual costs by category against the same structure you forecast. If the categories do not match, the variance tells you nothing specific.
Lock the forecast you are comparing against — normally the last version before you committed spend — so the comparison is not quietly rewritten after the fact.
Read variance by line, not in total
A profit that lands close to forecast can still hide large offsetting errors: attendance under, per-head spend over. Line-level variance is what identifies the assumption that needs changing.
Rank the lines by absolute variance and look only at the top three. Those are the assumptions worth arguing about before the next event.
- Attendance versus forecast, as a share of capacity
- Average revenue per attendee across all streams
- Fixed cost variance, split into contracted and discretionary
- Refund rate and contingency actually used
Turn variance into next event's inputs
Each material variance should produce a change to a default assumption: a lower utilisation rate, a higher per-head cost, a different sponsorship conversion rate. Write the change down where the next forecast will use it.
Over several events these adjustments matter more than any single modelling technique, because they replace generic assumptions with your own operating history.
Track forecast accuracy over time
Keeping a simple accuracy measure per event — how far projected profit sat from actual — shows whether your forecasting is improving. Profit/AI records actuals against each forecast so this trend builds automatically.
Variance is the raw material for a better forecast; capture it by line while the event is still fresh.
Run your own numbers through the same deterministic engine — projected profit, margin and break-even attendance from your inputs, with no account required.
Written by
Profit/AI Editorial DeskThe Profit/AI Editorial Desk writes the event budgeting and forecasting guides on this site. Every guide is built around the same deterministic calculations the Profit/AI forecast engine runs: contribution margin, break-even attendance, capacity utilisation, fee and refund handling, and scenario comparison.