The Key to Your Revenue Is Your Losses

What if your 72% lost deals contain more revenue intelligence than your 28% wins?

Joe Collins

11/12/20253 min read

Most companies track wins obsessively. Close rates. Deal velocity. Revenue by rep. But they treat losses as noise. Failed opportunities get filed away with a dropdown reason ("lost to competition," "no decision," "budget") and everyone moves on.

This is backwards. Your losses contain more signal than your wins.

After diagnosing hundreds of stalled pipelines across portfolio companies, I've learned that loss analysis reveals patterns win rate optimization misses entirely. The 72% of deals you lose aren't random failures. They're repeating psychological patterns you can diagnose and fix.

What Loss Patterns Reveal

Here's what systematic loss analysis typically shows. Take 100 opportunities. Win 28. But when you examine the 72 losses closely:

  • 30% went to "no decision" (buyer chose status quo)

  • 25% went to competitors the sales team had never heard of

  • 20% disappeared after what seemed like successful discovery

  • 15% stalled in "legal review" for months before dying

  • 10% chose DIY solutions instead

Now ask: were these losses inevitable? Or do they reveal systematic patterns in how buyers' brains were rejecting the approach before your team even realized it?

What I call the Four Locks (Relevance, Impact, Difference, Urgency) engage before logic kicks in. Standard qualification criteria check budget, authority, need, timeline. But they don't check whether the buyer's brain is already defending against you in the first five minutes of discovery.

That 28% win rate isn't measuring how good your sales process is. It's measuring how many deals accidentally avoided triggering all four locks.

The Diagnostic Approach

Some companies measure something alongside win rate: lock diagnosis.

For every deal in their pipeline, someone can answer which locks are engaged. If the answer is "we don't know," you're hoping rather than diagnosing.

Here's what that looks like:

Relevance Lock diagnostic: Did we start in their complete world (what I call the Blue Diamond) or did we dive straight into our pitch? When sellers rush to talk about their solution in the first five minutes, this lock engages. The buyer categorizes you as "another vendor" and stops listening before you get to your differentiators.

Impact Lock diagnostic: Is our proof about them or about others? Generic case studies trigger what I call the Unicorn Bias. The buyer thinks "that's not us, our situation is different." The lock stays closed even though you're showing proof.

Difference Lock diagnostic: Could our competitors say the same things we're saying? At ACES Growth, we run Noise Reports that analyze which phrases companies use that their competitors also use. Usually 80-90% overlap. When language is interchangeable, buyers default to price or status quo.

Urgency Lock diagnostic: Are we pushing our timeline or connecting to theirs? Most sellers manufacture deadline pressure ("this pricing expires Friday"). Buyers see through it instantly. Real urgency comes from what I call the Three Clocks already ticking in the buyer's world: internal deadlines, competitive deadlines, opportunity deadlines.

When you can answer these diagnostics for every deal, your win rate metric starts telling the truth. It's not measuring luck. It's measuring systematic removal of psychological barriers.

Who Owns This Analysis?

This diagnostic work often falls between the cracks.

Sales reps focus on closing this week's deals. Sales managers coach to quota. VPs defend forecasts in executive meetings.

The work of looking across all losses and asking "which lock pattern keeps appearing?" doesn't have a natural home.

Some companies have built this capability. Someone analyzes loss patterns. Someone spots that 40% of losses have the same lock engaged. Someone notices the language overlap with competitors.

This isn't sales operations. It's not traditional enablement. It's systematic diagnosis of buyer psychology applied to revenue generation.

Most companies don't have this function. They don't even know they need it. They just keep celebrating 28% while accepting that 72% failure is "normal."

What This Reveals

When you analyze losses this way, patterns emerge.

Forty percent of your losses might have the same lock engaged. That's not a pipeline problem. That's a pattern you can address.

Your sellers might use the same phrases your competitors use. The Difference Lock stays engaged because buyers can't tell you apart linguistically.

Deals might stall at the same stage because nobody connected to the buyer's real deadlines. The Urgency Lock prevents movement while everyone pushes on timelines that don't matter to the buyer.

The 72% stops being a mystery. It becomes data with identifiable patterns.

Win rates move when you fix patterns, not when you push harder on individual deals.

The Bottom Line

Your wins tell you what accidentally worked. Your losses tell you what breaks.

Some companies mine their losses for patterns. They can tell you which lock engages most frequently. They know what language triggers the Difference Lock. They understand where the Relevance Lock closes in discovery.

Your 72% contains more intelligence than your 28%.

Joe Collins is the founder of ACES Growth and author of The Revenue Locks. His framework helps growth-stage B2B companies diagnose and unlock the psychological barriers preventing buyers from choosing them in must-win deals. Learn more at acesgrowth.com or connect on LinkedIn.