FA-201b · Module 3

Win/Loss Economics

3 min read

Win/loss analysis typically asks "why did we win or lose?" The financial version asks "what did winning or losing cost us?" A deal that took 9 months to close, involved $45,000 in pre-sale resources, and closed at a 22% discount may be a "win" in the CRM but a loss on the P&L. Conversely, a deal you lost after a 6-week evaluation with $3,000 in pre-sale investment may be the cheapest lesson you learned all quarter. Financial win/loss analysis changes the definition of victory.

Win/Loss Economic Summary — Q2 2026
──────────────────────────────────────────────────
              Won Deals    Lost Deals    No-Decision
──────────────────────────────────────────────────
Count:            42            28            19
Avg Cycle:      78 days      94 days       112 days
Avg Pre-Sale:   $8,200      $11,400       $14,800
Avg Discount:    14.2%         N/A           N/A
Avg Margin:      58.3%         N/A           N/A
──────────────────────────────────────────────────
Total Pre-Sale
Investment:     $344K        $319K         $281K

Lost deals cost $319K in sunk pre-sale.
No-decisions cost $281K AND blocked capacity.
The most expensive deal is the one that
never closes but never dies.

Do This

Track pre-sale investment by deal outcome — wins, losses, and no-decisions
Calculate the total cost of lost and stalled deals quarterly
Identify the "no-decision" pipeline — deals that consume resources without ever resolving
Set a maximum pre-sale investment threshold tied to deal size and probability

Avoid This

Only analyze why deals were won or lost without examining the financial cost
Allow no-decision deals to linger indefinitely — they are the most expensive pipeline segment
Ignore pre-sale costs because "the team is salaried anyway"