The objective was to evaluate ticket inventory available through a B2B resale portal and determine which listings offered a sufficiently attractive risk-adjusted return to justify purchasing the inventory. Rather than focusing solely on the lowest purchase price or highest potential resale price, the analysis considers the complete transaction economics, including acquisition cost, estimated resale value, platform fees, expected net proceeds, profit per ticket, ROI, demand, and risk.

The analysis compares multiple event opportunities across sports, comedy, music, and theater, assigning each listing a clear Buy, Watch, or Pass recommendation. For the strongest opportunity, I further assessed the appropriate purchase quantity, maximum acceptable purchase price, expected profit, downside and upside scenarios, and recommended selling window.

The primary recommendation illustrates how I translate research and financial assumptions into an actionable trading decision. The selected opportunity was evaluated at a current ask of $138 per ticket, with an estimated resale value of $205, resulting in an expected ROI of 25.4% under the base case. The analysis also tested downside and upside resale scenarios to understand how the economics change under different market outcomes.

The final recommendation goes beyond identifying an attractive opportunity. It defines when to buy, how many tickets to acquire, when to sell, and what conditions should trigger a change in pricing strategy. Key risks such as changes in demand, event postponement, platform fees, and competing inventory are also considered.

What this sample demonstrates:

• Market and competitor research
• Opportunity identification and screening
• Pricing and margin analysis
• ROI and profitability calculations
• Risk-adjusted decision-making
• Scenario and downside analysis
• Actionable Buy / Watch / Pass recommendations
• Purchase quantity and pricing strategy
• Exit timing and repricing considerations

This is an illustrative case study using hypothetical events, prices, and figures. No tickets were purchased or traded. The sample was prepared solely to demonstrate the analytical approach and quality of work.