Former Spotify monetization executive and tech operator, Andrew Bowers brings product-led growth experience to investor and advisory roles. He led ad product, partnerships and revenue initiatives at consumer internet companies, focusing on scaling digital advertising, platform economics and subscription conversion. Background combines product management and go-to-market execution with angel investments in media-tech and mobile apps. Market-relevant expertise in user monetization, adtech stacks and commercial partnerships for growth-stage digital businesses.
Former Spotify monetization executive and tech operator, Andrew Bowers brings product-led growth experience to investor and advisory roles. He led ad product, partnerships and revenue initiatives at consumer internet companies, focusing on scaling digital advertising, platform economics and subscription conversion. Background combines product management and go-to-market execution with angel investments in media-tech and mobile apps. Market-relevant expertise in user monetization, adtech stacks and commercial partnerships for growth-stage digital businesses.
Operator-investor approach focused on product-led monetization and scalable go-to-market execution. Prioritizes growth-stage media-tech, adtech and consumer apps where subscription conversion and ad stack optimization drive unit economics. Deploys concentrated seed-to-Series-A checks with follow-on reserve, coupling capital with hands-on product, partnerships and revenue playbooks. Underwrites opportunities by product-market fit, measurable ARPU expansion levers, and clear platform economics; time horizon favors accelerated scaling to monetization inflection and strategic exits.
Operator-investor approach focused on product-led monetization and scalable go-to-market execution. Prioritizes growth-stage media-tech, adtech and consumer apps where subscription conversion and ad stack optimization drive unit economics. Deploys concentrated seed-to-Series-A checks with follow-on reserve, coupling capital with hands-on product, partnerships and revenue playbooks. Underwrites opportunities by product-market fit, measurable ARPU expansion levers, and clear platform economics; time horizon favors accelerated scaling to monetization inflection and strategic exits.
| Trades 1056 | Longs Won 746/1056 70% | Profit Factor 13.78 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $310,401.11 |
| Average Win $100,509.92 | Best Trade (Jul 15) $7.64M | Sharpe Ratio -10.09 |
| Average Loss -$17,556.97 | Worst Trade (Jul 10) -$679,128.95 | Z-Score 10.95 (100%) |
| Commissions $0 | Avg. Trade Length 10m 1w 5d | Expectancy $65,850.13 |
| 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% | <0.01% |
| Consecutive Losing Trades | 22,222 | 20,000 | 17,778 | 15,556 | 13,333 | 11,111 | 8,889 | 6,667 | 4,444 | 2,222 |