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· 4 min read

A big event isn’t always a big day: distance, crowd and timing

Attendance is the number everyone quotes, and it is often the least useful one. Why LocalPulse weighs events by distance, by who is in the crowd, and by when they arrive.

Ask anyone in hospitality about events and you will hear both stories. The concert that filled every table in town, and the stadium sell-out that made no difference at all. Both are true, and attendance alone can’t tell them apart.

Distance decays fast

A crowd mostly spends money close to where it gathers and along the routes in and out. LocalPulse weights each event by how far it is from your business, so a 3,000-person conference across the road can outweigh a 60,000-seat match on the other side of the city. The map on each dashboard draws rings at 1, 3 and 10 km so you can see which events are in your catchment.

The crowd matters more than its size

Different crowds use different businesses. Delegates at a medical congress need hotel rooms and early coffee. Football fans want a pub before and after kick-off. A festival that draws visitors from abroad fills rental cars a day before it starts. A local fun run fills cafés along the route and almost nothing else.

So every event in the shared calendar is rated for how relevant it is to each kind of business: does this crowd sleep over, eat out, drink, or need a car? That rating, together with size and distance, sets how much pressure the event puts on your trade.

Timing: the eve, the day and the day after

Holidays show the timing problem most clearly. For many pubs and city hotels the night before a bank holiday is busier than the holiday itself, and for car rental the pickups happen the day before. LocalPulse models the eve as a separate driver, so the forecast shows the peak on the right day rather than smearing it across both.

Then let your data have the last word

All of the above sets a starting point. Your own history then decides how much events actually move your demand, and the estimate is shown on your dashboard as a single, readable effect. If events turn out to matter less to you than to the typical business of your type, the model learns that.

If we missed an event, add it. It improves your explanations straight away, and the shared calendar means the next business in town benefits too.

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