HOSPITALITY · COMMERCIAL ANALYTICS
Over £20m of revenue impact, fixed in the pricing algorithm.
Revenue impact identified and resolved through pricing changes.
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The situation.
A gym chain had secured significant investment and was planning to expand its franchise into the US. It needed to identify which cities and neighbourhoods to enter, and the optimal sequence for the expansion.
The process.
We scored neighbourhoods across cities on key demographics to select the most promising locations, then designed a commercial and residential score to recommend the optimal zip codes in each city. We proposed a specific number of sites per city and a rollout plan, with remaining carrying capacity at the end of a five-year period, and produced commercial and residential heatmaps per city.
The outcome.
The client now has a clear plan of when and where to open each site, with decisions supported by data, and the analysis tool we provided is used when new sites are considered, showing possible cannibalisation with existing ones.
An excellent session yesterday and a really useful analysis and report. It will help the business greatly.
MORE WORK
Other engagements.
HOSPITALITY · COMMERCIAL ANALYTICS
A ten-year size of prize for revenue management.
A clear, agreed size of prize for revenue management investment.
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HOSPITALITY · COMMERCIAL ANALYTICS
A rigorous experiment to test vendor RMS against in-house.
Defined to measure vendor systems against the in-house RMS.
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