Business Intelligence
10 consulting-grade analyses of Swing Catalyst's business health, growth strategy, customer retention, pricing, and investor narrative. Each analysis applies a distinct expert persona to the same underlying data.
McKinsey Business Health Diagnostic
Comprehensive data quality assessment, descriptive statistics, trend analysis, anomaly detection, segmentation breakdown, and B2B SaaS benchmark comparison.
Revenue Forecasting Model
12-month forward revenue model with three scenarios (Conservative / Base / Optimistic), seasonality analysis, sensitivity tables, and leading indicators to watch.
Customer Cohort Analysis
Cohort definitions (Pro+, Pro, Home, Lifetime), retention patterns, revenue per cohort over time, churn risk classification, activation analysis, and five improvement recommendations.
Product Decision Evidence Review
Data-backed evaluation of five strategic product decisions: hardware vs. CV, Full Swing bundling, MLB vs. golf focus, Home tier entry, and APAC vs. Europe expansion.
Executive Dashboard Architecture
The 10 KPIs that matter, exact formulas and SQL definitions, alert thresholds (Green/Yellow/Red), visualization types, tool recommendations, and refresh cadence.
Churn Prediction Analysis
Behavioral churn signals, risk scoring model, time-to-churn analysis, churn reason categorization, save offer strategy, win-back analysis, and 90-day intervention plan.
Pricing Elasticity & Optimization
Price elasticity estimates by tier, profit-maximizing vs. revenue-maximizing prices, competitive positioning, bundle pricing analysis, and priority action plan.
Product Portfolio Analysis
Cross-sell and bundle opportunities, product combination analysis, association rules, upsell paths (Home → Pro → Pro+ → Enterprise), and five bundle opportunities.
Investor Pitch Narrative
Investment thesis, "so what" for each key metric, narrative arc, jargon translation, analogy bank, counter-argument preparation, and a five-minute board pitch script.
Anomaly Detection System
Baseline establishment, 25+ detection rules, anomaly classification framework, root cause playbooks, seasonal adjustment factors, and implementation roadmap.