Self-directed project
Business & Sponsorships — The FC Barcelona Case
Data Science · September 2026
A ProoV case study · educational project, not employment
Built an end-to-end commercial case analysis for FC Barcelona: quantified the revenue mix, segmented fans using size/value/engagement, assembled a sponsorship package within budget, and reported campaign performance against targets. Concluded with a data-backed ElectraX recommendation that included pricing, caveats, and a clear board-ready rationale.
Graded against
- Business reasoning & decision quality35%
- Correct use of data25%
- Frameworks applied20%
- Communication & structure20%
Passed · pass mark 55/100
What stood out6
- Correctly calculated the revenue mix and identified Commercial as the club-controlled growth lever.
- Used fan size, value, and engagement together rather than choosing a segment on size alone.
- Built a KPI scorecard with actual-vs-target achievement and correctly flagged content reach as the laggard.
- Closed with a clear sponsor recommendation that included price, term, and caveats about synthetic data.
- Revenue Mix Analysis
- Segment-Driven Commercial Targeting
The work I submitted18 tasks
10 tasks · 9.1k characters · Python · 8 written answers · 628 words
- Revenue MixPython · 1.3k characters
- Revenue Mix Compute252 characters
- Fan SegmentationPython · 1.0k characters
- Fan Segmentation Note778 characters
- Package Builder486 characters
- Negotiation Simulator487 characters
- Inbox Responses896 characters
- KPI ScorecardPython · 1.1k characters
- Mid Season Performance Summary1.2k characters
- Final Recommendation1.7k characters
- Revenue Mix101 words
- Revenue Mix Compute36 words
- Fan Segmentation53 words
- Fan Segmentation Note124 words
- Package Builder40 words
- Negotiation Simulator69 words
- Inbox Responses122 words
- KPI Scorecard83 words
Summarised on purpose — the submitted code and writing stay private so this page cannot be reused as an answer key. The full submission sits behind the verified certificate.