Past records of mobility, visits, or place activity that enable trend analysis, seasonality measurement, and longitudinal comparisons over weeks, months, or years.
Depth of history matters here: a single week of data can’t distinguish a genuine trend from normal seasonal noise, so meaningful trend analysis – a store’s traffic recovering after a renovation, or a category’s demand shifting over several years – depends on having a long enough historical baseline to compare against.
Further reading: Demand forecasting methods · Mobility layer
