Veteran digital-media operator and growth investor focused on scaling subscription and direct-to-consumer businesses. Kelly Dixon combines senior operating experience with board-level oversight, leading product, go-to-market and M&A initiatives across consumer tech and content businesses. Active in later-stage venture and private-equity-backed rollups, advisors and strategic acquisitions, with a track record of driving recurring revenue expansion and operational improvements.
Veteran digital-media operator and growth investor focused on scaling subscription and direct-to-consumer businesses. Kelly Dixon combines senior operating experience with board-level oversight, leading product, go-to-market and M&A initiatives across consumer tech and content businesses. Active in later-stage venture and private-equity-backed rollups, advisors and strategic acquisitions, with a track record of driving recurring revenue expansion and operational improvements.
Focuses on scaling subscription and direct-to-consumer businesses through an operator-investor lens, prioritizing recurring revenue expansion, retention improvement and unit economics optimization. Emphasizes product-led growth, repeatable go-to-market motions and M&A-driven consolidation—deploying capital into later-stage growth, PE-backed rollups and strategic tuck-ins that accelerate revenue synergies. Decision-making is metrics-driven (LTV/CAC, ARPU, churn) with an operational playbook for margin expansion and customer lifecycle management. Time horizon is medium-to-long, blending active board oversight with hands-on integration to de-risk scaling and unlock multiples.
Focuses on scaling subscription and direct-to-consumer businesses through an operator-investor lens, prioritizing recurring revenue expansion, retention improvement and unit economics optimization. Emphasizes product-led growth, repeatable go-to-market motions and M&A-driven consolidation—deploying capital into later-stage growth, PE-backed rollups and strategic tuck-ins that accelerate revenue synergies. Decision-making is metrics-driven (LTV/CAC, ARPU, churn) with an operational playbook for margin expansion and customer lifecycle management. Time horizon is medium-to-long, blending active board oversight with hands-on integration to de-risk scaling and unlock multiples.
| Trades 1830 | Longs Won 765/1830 41% | Profit Factor 6.52 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $2.26M |
| Average Win $506,155.86 | Best Trade (Mar 31) $71.17M | Sharpe Ratio -8.93 |
| Average Loss -$55,770.45 | Worst Trade (Mar 31) -$19.32M | Z-Score -10.76 (100%) |
| Commissions $0 | Avg. Trade Length 7m 1w 5d | Expectancy $179,133.17 |
| Loss Size | 100% | 90% | 80% | 70% | 60% | 50% | 40% | 30% | 20% | 10% |
| Probability of Loss | <0.01% | <0.01% | <0.01% | <0.01% | <0.01% | <0.01% | <0.01% | <0.01% | <0.01% | 0.21% |
| Consecutive Losing Trades | 14,925 | 13,433 | 11,940 | 10,448 | 8,955 | 7,463 | 5,970 | 4,478 | 2,985 | 1,493 |