Hard Profitability Revenue Estimation

FIFA World Cup 26

#Sports/Events #Media & Broadcasting #Media & Entertainment #Sports Broadcasting
ProHub Comment

This is a structured profitability case requiring candidates to work backwards from broadcast time constraints to calculate ad slot capacity and then multiply by pricing that varies by game stage and day of week. The case tests dimensional analysis, attention to detail in pricing schedules, and ability to segment calculations (group stage vs knockout rounds). A strong response demonstrates proactive clarification of missing data and contextualization beyond the mechanical calculation.

Estimated Time 35 minutes
Difficulty Hard
Source PeterK
20 / 100
Our client, Horizon Vista TV, has secured exclusive broadcasting rights for the FIFA World Cup 26 in North America. How much revenue should they expect from selling ad slots during the games?

Clarifying Information

  1. Exhibit 1. FIFA World Cup 26. Number of Games
  2. Exhibit 2. Price of One Ad Slot During FIFA World Cup 26, k USD
  3. Each game is broadcasted for 2 hours (incl. halftime, stoppage time)
  4. Each advertisement slot lasts for 30 seconds
  5. There will be 5 minutes of ads per hour
Mock Interview
Interviewer

Our client, Horizon Vista TV, has secured exclusive broadcasting rights for the FIFA World Cup 26 in North America. How much revenue should they expect from selling ad slots during the games?

You

Thanks. Before analyzing, I'd like to clarify a few key questions...

Interviewer

Good question. Let me provide some background information...

You

Based on this, I suggest analyzing from these dimensions...

AI Score
Structure Analysis Communication Business Sense Quantitative
Practicing...
Score coming soon
Practice this case with AI Mock Interview

Calculate expected advertising revenue for Horizon Vista TV from FIFA World Cup 26 broadcasting rights in North America. Solution requires determining ad slots per game (5 min/hour ÷ 30 sec slots × 2 hours = 20 slots), then segmenting 104 total games by stage/day-of-week to apply differentiated pricing ($200-700k per slot), yielding approximately $604M total revenue.

Key Insights:

  1. Break down broadcast time into ad slot capacity using dimensional analysis (minutes → seconds → slots)
  2. Segment revenue calculation by game type (group stage, knockout rounds) and day of week, as pricing varies significantly
  3. Use exhibit data to categorize 88 games (65 weekday, 23 weekend) in early stages and 16 games (8 weekday, 8 weekend) in late stages
  4. Advanced candidates should contextualize that $600M represents substantial sunk cost recovery pressure on operational budgets and depends heavily on viewership ratings