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 1936 | Longs Won 1156/1936 59% | Profit Factor 2.21 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $5.15M |
| Average Win $687,527.98 | Best Trade (Mar 30) $122.59M | Sharpe Ratio -9.92 |
| Average Loss -$460,405.12 | Worst Trade (Jun 29) -$139.83M | Z-Score -6.8 (100%) |
| Commissions $0 | Avg. Trade Length 7m 3w 3d | Expectancy $225,034.27 |
| 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% | 0.04% | 0.46% | 3.43% | 20.33% |
| Consecutive Losing Trades | 1,946 | 1,751 | 1,556 | 1,362 | 1,167 | 973 | 778 | 584 | 389 | 195 |