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DATA: What are typically popular times?

Data from Dexibit’s global portfolio of visitor attractions.

In the wake of the pandemic, many visitor attractions have been adjusting open times and activity schedules to a new normal of visitor patterns. 

The most popular time to visit an attraction is midday, and the most popular day, unsurprisingly, is Saturday.

Across visitor attractions, early mornings (08:00 – 11:00) show a steady influx of visitors which peaks at noon, with 26% of a given day’s visitation occurring on the lunch hour. Visitation then steadily declines until closing time.

Seasonality tends to have little effect on this overall trend, with mornings and late afternoons always seeing the fewest visitors and noon constantly the most popular time. However, noon is the most affected by season, reaching a low of 24% of a day’s visitation in Winter and a high 30% in Spring.

Through the week, the contribution to weekly visitation by weekday increases steadily from Monday at the lowest (11%) to peak on Saturday at 21% before decreasing to 16% on Sundays.

Again, seasonality has little effect, however Saturdays has the largest variation from 18% in Summer to a high of 25% in Winter. Interestingly, this is an inverse trend to the impact of season on the time of day, where Winter suppresses the most popular time. 

Using Dexibit?

Understanding popular times are a great way to make decisions around opening times or to spread demand in order to fully utilize capacity, or balance negative impacts from overcrowding on other visitor outcomes.

In Dexibit you can analyze your visitation, footfall and ticketing data along with other performance metrics such as revenue, member conversion and happiness and more.

Use the Almanac (the calendar of what’s on in and around your venue) to manage your open times.

Justin van Zyl

Machine Learning Engineer

Justin is a passionate Machine Learning Engineer with a deep love for data science and mathematics. He has a strong mathematical background and enjoys using his expertise to build models that solve complex business problems.

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