Help & guides
Short, practical guides on museum visitor forecasting — written for museum teams, not data scientists.
What Is an Accuracy Check?
Learn how the accuracy check (Backtest) lets you test how well VisitorCast would have predicted a period that has already happened, so you can judge forecast accuracy and which signals help.
Read the guide →How to Get the Best Museum Visitor Forecasts
Learn how to improve museum visitor forecasts by using clean historical data, accurate opening days, relevant drivers and consistent planning assumptions.
Read the guide →What Are Drivers, Regressors and Signals in Museum Visitor Forecasting?
Understand how drivers, regressors and signals help VisitorCast explain and forecast museum visitor numbers.
Read the guide →How to Use a Visitor Forecast for Museum Staffing and Planning
Learn how to turn a museum visitor forecast into real decisions — staffing and rosters, opening hours, café and shop stock, marketing timing and budgets — using the predicted number, the confidence band and your forecast track record.
Read the guide →How Does VisitorCast Predict Museum Visitor Numbers?
Learn how VisitorCast's prediction model works — a transparent, additive time series model built from trend, seasonality, and demand drivers, so you can see exactly what shapes your forecast.
Read the guide →How to Read a Museum Visitor Forecast
Learn how to read the VisitorCast forecast page — the predicted line, the confidence band, the day-by-day table and the driver cards — and how to choose between a 7, 30 or 90-day forecast.
Read the guide →