Know how many visitors are coming to your museum — and why
VisitorCast forecasts your visitor numbers for the coming weeks and months, and shows you exactly what drives them. No data team required.
Upload your visitor history and VisitorCast does the rest. It combines your numbers with built-in drivers — season, weekday patterns, public holidays, school vacations, paydays, weather, and your own exhibitions and events — to produce forecasts your whole team can understand. And before you rely on a single forecast, you can test VisitorCast's accuracy on your own historical data.
Museums are hard to plan with yesterday's data
Visitor numbers drive almost every decision in a museum: staffing, marketing, exhibitions, events, retail, café, and the visitor experience itself. But attendance moves with the season, the weather, school vacations, holidays, and what's on — and most museums still plan with spreadsheets, intuition, and last year's numbers.
Enterprise analytics platforms exist, but they are built for large institutions with data teams and budgets to match. VisitorCast takes a different path: forecasts that are simple, transparent, and made for the way museums actually work.
Decisions based on last year's numbers
Without a reliable forecast, staffing, marketing, and budgets get planned on averages and gut feeling — and surprises land on your team and your visitors.
- Unexpected busy days put pressure on staff and the visitor experience
- Quiet periods are staffed like busy ones — money spent where it isn't needed
- Marketing runs when demand is already high, instead of when it would help
- It's hard to say whether an exhibition performed well, or just opened in a busy month
- Nobody can explain why visitor numbers rose or fell
Decisions based on expected visitor flow
VisitorCast shows you what's likely to happen next, what's driving it, and how accurate the forecast is — so your team can plan with confidence instead of hope.
- Forecast visitor numbers for the coming weeks and months
- See which drivers move your numbers: season, school vacations, weather, exhibitions, and more
- Staff busy days properly and save on quiet ones
- Time marketing for the periods that need a lift
- Test the forecast accuracy on your own history before you rely on it
Built for the decisions museums make every week
VisitorCast turns forecasts and driver analysis into practical input for the teams that run the museum.
Plan staffing with confidence
Know when to expect busy days, quiet periods, and seasonal peaks — so you schedule the right people at the right time, from front-of-house to café.
Time your marketing where it counts
See when demand will already be strong and when it needs a push. Spend your marketing budget lifting quiet periods instead of promoting days that would have been busy anyway.
Plan exhibitions and events on evidence
See how past exhibitions and events actually performed — adjusted for season and overlaps — and use forecasts to pick opening dates and plan capacity for the next one.
Understand what drives your visitor numbers
Is it the season? School vacations? Weather? Your exhibitions? VisitorCast analyses your history and shows which drivers move your numbers — and by how much.
Check the accuracy before you trust it
Run an accuracy check on your own data: VisitorCast hides a recent period, predicts it, and shows you the forecast next to what actually happened. You decide when it's good enough to plan on.
Forecasts that explain themselves
Every forecast comes with its drivers, ranked by impact: how much school vacations, the time of year, weekday mix, and your exhibitions add to — or subtract from — the numbers. No black box, no guesswork.
How VisitorCast works
From your existing data to forecasts your team can plan around — in five steps.
Upload your visitor history
Start with the data you already have: daily visitor numbers from your ticketing system, as a simple CSV. VisitorCast validates the data and shows you exactly what it received.
Add your exhibitions and events
Register past and upcoming exhibitions and events. VisitorCast weighs them by popularity and learns their effect on attendance — including the extra draw of opening and closing weeks.
VisitorCast adds the built-in drivers
Your data is combined with drivers VisitorCast maintains for you: seasonal patterns, weekday rhythms, public holidays, school vacations, paydays, and weather. More drivers are added over time.
See what drives your numbers — then forecast
VisitorCast analyses which drivers actually move your attendance and recommends which to use. Then it forecasts your daily visitor numbers for the next week, month, or quarter.
Check the accuracy and start planning
Run an accuracy check against your own history to see how well VisitorCast predicts your museum. Then use the forecasts and trends to plan staffing, marketing, and operations.
Core capabilities
Everything you need to plan around tomorrow's visitors — nothing you need a data team for.
Visitor forecasts
Daily visitor forecasts for the next 7, 30, or 90 days — short enough for staffing rosters, long enough for seasonal and budget planning. Closed days are handled automatically.
Driver analysis
See how much season, weekdays, holidays, school vacations, paydays, weather, exhibitions, and events each contribute to your attendance — with recommendations for which drivers fit your museum.
Accuracy check
Test VisitorCast on your own history: it predicts a period that already happened and shows forecast vs. actual, side by side. Trust built on evidence, not promises.
Historical trends & insights
Year-over-year comparisons, seasonality, a calendar heatmap of your attendance, driver impact, and exhibition and event performance — with plain-language takeaways your whole team can act on.
One report that replaces the spreadsheets
The Historical Trends report gives you a complete, always-current picture of your attendance — the numbers most museums today assemble by hand from ticketing exports, spreadsheets, and status reports. Open it before the management meeting and the analysis is already done. Especially valuable for small and medium-sized museums without an analytics team.
KPIs at a glance
Your key attendance numbers, always up to date — no more compiling figures the night before the board meeting.
Daily visitors, last 90 days
See exactly how the recent period developed, day by day, and spot shifts early.
Monthly visitors, year by year
Compare each month against previous years to see whether you're ahead or behind — and by how much.
Calendar heat map
Your whole year, day by day, coloured by attendance. Busy weekends, quiet Mondays, and vacation peaks stand out instantly.
Seasonality by month and weekday
Know your busiest months and strongest weekdays — the foundation for staffing plans, opening hours, and program scheduling.
Driver impact
See how much school vacations, holidays, weekends, and other drivers lift a typical day at your museum.
Driver impact — what moves the numbers
How much does a Danish public holiday lift a typical day? What about a school vacation, an event, or bad weather? The driver impact chart quantifies each one, so planning discussions start from evidence.
Exhibition efficiency
Compare exhibitions on season-adjusted uplift, not raw visitor counts — so a show that opened in a quiet month gets a fair assessment, and the next exhibition decision is grounded in what actually worked.
Why it matters
- Replaces manual status reports and internal spreadsheets — one source of truth for the whole team
- Saves hours of reporting work every month, with no analytics team required
- Ready for management and board meetings the moment you open it
- Turns your attendance history into decisions: staffing, opening hours, marketing timing, and exhibition planning
Learn how museum visitor forecasting works
Short, practical guides from the VisitorCast help centre — written for museum teams, not data scientists.
What is an accuracy check?
Learn how the accuracy check lets you test how well VisitorCast would have predicted a period that has already happened, so you can judge forecast accuracy for your museum.
Read the guide →Does VisitorCast use AI to predict museum visitors?
How VisitorCast uses AI-based forecasting methods to help museums predict visitor numbers and plan staffing, capacity, exhibitions and events.
Read the guide →How to get the best museum visitor forecasts
Improve your forecasts with clean historical data, accurate opening days, relevant drivers and consistent planning assumptions.
Read the guide →What are drivers, regressors and signals?
Understand the factors that explain why museum visitor numbers go up or down — and how VisitorCast uses them to improve forecasts.
Read the guide →Built for museums. Designed to be understood.
VisitorCast is built on a simple belief: a forecast is only useful if the people planning around it understand and trust it. That's why every forecast in VisitorCast comes with its drivers, why data quality is always visible, and why you can test the accuracy on your own history before you rely on it. No hardware to install, no data team to hire, no black box to take on faith — just clear forecasts, in museum language, for the everyday decisions of directors, operations managers, visitor services, marketing, and finance teams.
See how well VisitorCast predicts your museum
Book an online presentation and get a practical introduction: how VisitorCast forecasts your visitor numbers, what drives them, and how the accuracy check lets you verify the results on your own data.
Contact VisitorCast — hello@visitorcast.com