Are you estimating registrations, arrivals or people inside a hall at the same time? The steps below turn that question into a planning tool whose uncertainty you can review.
Define the measure first
AWS describes predictive analytics as using current and historical data to forecast future outcomes. HSE’s crowd-risk guidance includes previous attendance, advance registrations and ticket sales among turnout-estimation factors.
For your records, distinguish registration, first entry, re-entry and multi-day visits. Keep registration and arrival dates separate. Decide how to count cancellations and complimentary passes before comparing editions.
Create a comparable dataset
Start with a modest working file before any large technology purchase. List edition, days open, registrations and observed arrivals, alongside changes in audience, location or admission rules. Document missing values and duplicates. Do not compare a full-event total with a daily count.
Use only necessary fields. Under the Saudi framework, SDAIA’s official knowledge centre says personal-data collection should be limited to the minimum needed for specified purposes. Prefer aggregated planning records where practical and determine the lawfulness of person-level processing separately.
Test a baseline and a model
Start with a transparent reference, such as the registration-to-arrival relationship from a comparable edition. If you introduce a statistical model, ask an analyst to test it on records withheld from fitting. Record forecast versus actual attendance, error size and whether overestimation or underestimation matters more for your decision.
Plan staffing and catering with scenarios
Prepare lower, central and higher attendance scenarios, and name a decision-maker and an update point. Agree order-adjustment options with suppliers before committing. Treat forecast session interest as a planning input; keep crowd-safety limits and venue approval independent of it.
Review sales separately
Judge exhibitor sales with their own measures, using an event scorecard that looks beyond attendance. If you use lead scores, define what they mean, test them against observed outcomes and let the sales team review them. After the event, log actual arrivals, supplier adjustments and errors as evidence for the next forecast.
