Theme Park Case Study
Can mobile location data accurately forecast real-world business performance before financial results are reported?
This case study demonstrates how RetailStat's Real Estate Intelligence (REI) platform leveraged mobile location data to analyze attendance trends across SeaWorld and Six Flags parks from 2018 through the second quarter of 2022. By comparing visitation data with publicly reported attendance figures, the analysis validates how location intelligence can provide an accurate and timely view of business performance.
The results revealed an exceptionally strong relationship between REI's mobile location data and official attendance numbers, achieving a 98.76% correlation for SeaWorld and 98.86% for Six Flags. These findings illustrate how alternative data can help investors, analysts, and financial professionals monitor consumer activity and anticipate performance trends with greater confidence.
While historical financial reports provide valuable context, businesses increasingly benefit from data sources that offer earlier visibility into consumer engagement and operational performance.
But here's the catch —
Predicting business performance requires more than collecting large volumes of data. The real advantage comes from identifying reliable indicators that consistently reflect real-world consumer activity and can support more informed investment decisions.
How can validated location intelligence help organizations forecast performance before traditional financial metrics become available?