Travelling Exhibition ROI Simulator

This demo helps museums explore how a travelling exhibition’s net result (Y) changes when you vary: expected visitors (X1), average ticket price (X2), and ancillary spend per visitor (X3). The model behind the scenes is a simple linear form: Y = a + a1·X1 + a2·X2 + a3·X3.

1. Set the Importance of Each Factor

Choose how strongly each factor influences the overall net result (Y) of your travelling exhibition. We convert your choices into internal weights (a1, a2, a3) used by the simulator.

X1 – Expected Visitors per City Usually Very High

X2 – Average Ticket Price (€) Often High

X3 – Ancillary Spend per Visitor (€) Often Medium

For this demo, the intercept a is set to 0, so Y is an index you can use to compare scenarios. Higher Y means a more attractive scenario.

2. Upload Your Scenario Data (CSV from Excel)

Prepare an Excel file with the following columns: Scenario, X1, X2, X3. Then save it as CSV (comma- or semicolon-delimited) and upload it here.

X1 = Expected visitors per city
X2 = Average ticket price (€)
X3 = Ancillary spend per visitor (€) – shop, café, merchandising, etc.

Demo data loaded

How to upload: first download or save your CSV file to your computer (for example from the Euroglobo-Art website). Then click “Choose CSV file” above and select that file. Or just keep the default demo scenarios. The simulator will automatically read your scenarios and update the table and summary below.

3. Scenario Summary (Y Index)

We calculate Y for each scenario and show basic summary indicators. Y is a relative index – useful to compare cities and strategies.

Number of Scenarios

Average Y

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Minimum Y

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Maximum Y

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4. Scenario Table – Edit & Explore

You can click on X1, X2, X3 values in the table to edit them. Y will be recalculated based on your influence settings (Step 1).

Scenario	X1 – Visitors	X2 – Ticket (€)	X3 – Ancillary (€)
Base city – realistic	20000	12	5
Large city – ambitious	35000	13	6
Smaller city – cautious	12000	10	4

5. What-if: New City or Strategy

Try a hypothetical city or strategy: enter visitors, ticket price and ancillary spend per visitor, and see the resulting Y index based on your current influence settings.

Scenario Name

X1 – Visitors

X2 – Ticket (€)

X3 – Ancillary (€)

Predicted Y Index

0.00

Use this to compare “what-if” ideas before committing resources – for example: “What if we increase visitors by 20%, keep ticket price stable, and invest in better merchandising?”

About this Demo

This simplified simulator is designed for educational and exploratory use. It does not store your data on a server – everything runs in your browser. For tailored, data-driven predictive models (including Bayesian analysis and full risk profiles), please contact us via Euroglobo-Art.