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Data-Driven Strategy & KPIs
Identify core metrics, calculate ROI, and measure true performance versus vanity metrics in high-stakes environments.
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4.5 from 25 ratings
Business & Sponsorships — The FC Barcelona Case
ProoV · Beginner
About this project
An independent ProoV case study using FC Barcelona (not affiliated or sponsored; figures are illustrative or synthetic unless publicly sourced). A beginner Data-Driven Management track that builds data literacy for business decisions — reading tables, shares, growth, and KPIs — with no coding or statistics needed. As a junior commercial analyst you learn how a club earns revenue, segments its fanbase, prices sponsorship assets, runs a negotiation, and proves a campaign worked with KPIs.
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Projects
inBusiness & Sponsorships — The FC Barcelona Case
Just completed
Associated with ProoV
A graded ProoV project, completed step by step and marked against a published rubric.
❖business-analytics, management and more skills
What you'll do
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Module 1: Revenue Mix Analysis
Analyze FC Barcelona's historic revenue mix in a Python environment. Compute the share of matchday, broadcasting, and commercial revenue to identify the most scalable growth lever.
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Module 2: Fan Segmentation & Brand Matching
Group a synthetic fanbase of 15,000+ profiles using Pandas. Segment by region, age, and engagement to identify the most valuable target audience for global sponsors.
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Module 3: Asset Valuation & Package Builder
Deconstruct the sponsorship hierarchy. Build a high-value media package balancing reach, context control, and a fixed €40M budget using value-based pricing models.
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Module 4: Live AI Negotiation Simulator
Negotiate the deal live against an AI-driven brand representative. Protect your BATNA, anchor high, and trade concessions backed by your data model.
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Module 5: Post-Deal Management & Crisis
Handle three post-deal inbox scenarios including activation planning, a PR crisis make-good, and renewal negotiations. Manage the relationship proactively.
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Module 6: KPI Scorecard & Performance Review
Evaluate mid-season campaign KPIs against targets. Compute actual-vs-target percentage achievement and draft a board-ready performance summary.
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Module 7: Capstone Recommendation
Write a final, data-backed recommendation memo on whether and how to sign the sponsor, synthesizing the quantitative analysis from the entire case study.
What you'll learn
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Fan Segmentation & BI
Use business intelligence principles to segment audiences by lifetime value, behavior, and strategic fit.
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Data Storytelling & Negotiation
Translate complex analytics into compelling executive summaries and use data to anchor live corporate negotiations.
What students say
Gained hands-on experience in commercial strategy, sponsorship pricing models (ZOPA/BATNA), ROI reporting using the Sandwich Method, and executing data-driven customer activation strategies.
This is my first project lots of things are new for me and i learn new things.I improve my negotiation skills and recommendation.
can give options in industries like this was for sports give options like skin care industry, fashion industry case study etc
I felt a little lost when chosing this project because I was expecting more practice with data focus than marketing focus.
I have understand a lot of new concepts in communication,how to make a deal and on what terms and conditions ,my favourite part is negotiation and what kind of sponsor suits the deal ,this clearly made me aware of decision making while signing a deal with any sponsor