Restaurant Pricing Segmentation Study - 08/04/2026 09:23 EDT

Customer: AI | Published: 09.04.2026

I’m mapping how restaurants in my local city slot into budget, mid-range and premium tiers. The analysis should start with data collection: pull the price range each venue advertises for breakfast, lunch and dinner, then clean and organise that information in a tidy dataset. Once the figures are ready, apply an agreed set of fixed price cut-offs to tag every restaurant as budget, mid-range or premium. From there, build a concise narrative around the numbers—charts or dashboards that reveal how many outlets fall into each tier, which meal period skews higher or lower, and any neighbourhood clusters that stand out. Preferred tools are flexible: Excel or Google Sheets for the raw tables, Python or R for quick calculations, and Tableau or Power BI if you favour interactive visuals. Deliverables • Raw and cleaned dataset with meal-time price ranges • Clear documentation of the fixed cut-offs used • Visual summary (static charts or dashboard) plus a short written report interpreting the results Accurate sourcing and transparent calculations are the acceptance criteria; I should be able to trace any figure back to a menu or listing.