Concert Ticket ROI Analysis -- 2
Budget: ₹600 – ₹1,500 INR
I need clear, data-driven insight into the profit potential of flipping Pop/Rock concert tickets on StubHub. The goal is a concise report that shows, city by city and artist by artist, how primary-market prices compare with recent StubHub resale prices, and what percentage return I could reasonably expect after fees.
Here is the scope I have in mind:
• Collect at least the last 12 months of sales data for major Pop/Rock tours (think stadium or arena level).
• Identify purchase windows that historically yield the highest resale margin—pre-sale, general on-sale, or last-minute buying.
• Calculate gross and net ROI after StubHub commissions and payment processing fees.
• Highlight any noteworthy trends—seasonality, day-of-week spikes, or regional differences—that might inform bulk buying strategies.
I’m comfortable if you pull the numbers via public APIs, web-scraping, or licenced datasets, as long as the methodology is documented and reproducible. A clean spreadsheet plus a short summary deck or notebook explaining the findings is all I need; no elaborate dashboard required.
Please tell me how quickly you can turn around the first dataset, and mention any experience you already have mining ticket platforms.
Here is the scope I have in mind:
• Collect at least the last 12 months of sales data for major Pop/Rock tours (think stadium or arena level).
• Identify purchase windows that historically yield the highest resale margin—pre-sale, general on-sale, or last-minute buying.
• Calculate gross and net ROI after StubHub commissions and payment processing fees.
• Highlight any noteworthy trends—seasonality, day-of-week spikes, or regional differences—that might inform bulk buying strategies.
I’m comfortable if you pull the numbers via public APIs, web-scraping, or licenced datasets, as long as the methodology is documented and reproducible. A clean spreadsheet plus a short summary deck or notebook explaining the findings is all I need; no elaborate dashboard required.
Please tell me how quickly you can turn around the first dataset, and mention any experience you already have mining ticket platforms.