05: KickIt365 Advisory — Data-Led Decision Influence at Leadership Level
Data-Driven Recommendations for Program and Revenue Strategy
Data-Driven Recommendations for Program and Revenue Strategy
KickIt365 is a 12-year-old adult soccer league with strong community loyalty but no analytical visibility into business performance. Leadership could not answer baseline operational questions (profit by league, retention rate, demographic composition, or revenue contribution by program). No structured data review cadence or decision framework existed.
Establish a data-driven foundation for customer experience, retention, and revenue decisions by analyzing historical performance, identifying trends, and presenting recommendations to senior leadership.
Strategic recommendations could only be executed if accepted by founders
Technology limitations (no unified app; fragmented registration tools)
Cultural resistance to modernization and generational mismatch in event design
No historical baseline for metrics — required reconstruction from raw data
Collected and analyzed 3+ years of registration, demographic, and participation data
Created performance and demographic intelligence report
Modeled revenue upside from shifting to per-player pricing vs. team fee
Identified customer experience gaps across registration, communication, and events
Provided recommendations on intentional events and digital experience improvements
Presented findings and recommendations directly to ownership for decision-making
Recommendation rejection risk — mitigated by evidence-based framing
Customer churn risk from outdated programming — addressed through targeted CX recommendations
Operational disruption risk — provided phased implementation paths vs. wholesale change
Leadership adopted portions of recommended strategy, including intentional event design
Upcoming “Santa Paws 2025” event reflects generational demographic alignment
Executive team now consults analytical report before event and program planning
Identified 20% revenue upside opportunity tied to pricing structure change
Established precedent for data-informed decision review within ownership
These materials reflect how I operate in an advisory capacity — diagnosing business performance, framing insights for decision-makers, and driving alignment across teams through data-backed recommendations.
Comprehensive analysis of three years of player registration and league performance data.
Identified retention trends, demographic shifts, and a 20% potential revenue upside from pricing model reform.
Demonstrates analytical rigor, business insight, and strategic communication to executive leadership.
Concept proposal designed from demographic insights to align programming with target member profiles.
Translates data findings into actionable customer experience strategy and event design.
Highlights stakeholder persuasion and the ability to operationalize insight into measurable engagement.
I'm focused on project management roles in design and construction — where scope, budget, and schedule accountability matters, and where coordination across stakeholders drives successful outcomes.
Demonstrates full business execution and model scalability: built an independent enterprise, then successfully applied that operational model within an institutional structure.
Demonstrates scope, budget, and schedule delivery under financial pressure, plus ongoing asset stewardship and data-driven revenue strategy.
Demonstrates ability to build operational infrastructure from zero under resource constraints: designed CRM, marketing systems, and transaction workflows that professionalized the business and enabled consistent deal flow without external funding.
Demonstrates solution-oriented execution: adapted a proven model to work within institutional constraints, navigating staffing gaps, governance processes, and resource competition.