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Lost Deal Pattern Finder

Finds the real, recurring reasons deals slip away - not just what reps typed in the CRM on the way out - and flags when "price" is doing more explaining than it should.

lost dealswin/loss analysissales pipelinedeal patternspipeline attribution

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Run this command in your terminal, or paste it into Claude—or your favorite AI assistant—and ask it to install the skill for you.

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Updated Sep 2026

What This Skill Does

Surfaces the pattern reps don't see one loss at a time

Groups scattered lost-deal notes into recurring themes, not a list of individual excuses.

Calls out when "price" is covering for something else

Flags a heavy price or timing skew as a signal to dig deeper, not a settled reason.

Every theme traces to real deals

Each theme comes with anonymized illustrative notes and a count of how often it showed up.

Never turns into a review of one rep

Findings stay about the pattern in the deals, never a judgment on who ran them.

Won't manufacture a pattern from a handful of losses

Refuses to call something a "theme" without enough independent deals behind it.

Best Used For

  • Noticing the same reason or competitor keeps showing up in lost-deal notes and wanting to know if it's real
  • Preparing a "what our losses are telling us" read before a sales-and-marketing planning conversation
  • Sanity-checking whether a recent string of losses is a pattern or just a rough quarter
  • Deciding whether a messaging or qualification issue shows up consistently enough across losses to raise it

How It Works

Every lost deal gets a reason typed into the CRM on the way out, and most of those reasons are never looked at again as a set - only one at a time, right after the loss stings. Read together, a batch of lost deals usually holds a handful of real, recurring patterns: a competitor that keeps coming up, a stage where deals consistently stall, a stated reason that's really covering for something else.

This skill takes a batch of lost-deal records and groups them into scored, recurring themes, each backed by anonymized illustrative notes and a frequency count. Any rep or contact name is converted to a role label before any analysis begins, and if "price" or another low-friction reason dominates the stated causes, it says so plainly - stated loss reasons are logged by the seller in the moment and tend to under-report harder truths.

You walk away with a set of loss themes, each with real evidence and a plain business implication - never a rep review, a sales-process rewrite, or a fabricated win/loss benchmark.

Get This Skill

Run this command in your terminal, or paste it into Claude—or your favorite AI assistant—and ask it to install the skill for you.

Copied to clipboard

Want Lost Deal Pattern Finder Custom-Built for Your Team?

Marketri can adapt this skill to your brand, data, and workflows — or build a new one from scratch.

Common questions

No - findings are about patterns in the deals themselves, never a performance judgment on an individual, even anonymized.

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