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Pipeline analysis

We pull your deal and communication data and find out why deals stall, rather than guessing.

Our process

We look at communication data, not just CRM fields. The analysis ends in a build.

01

Data extraction

Pull deal and communication data.

Outcome: Deal records and email threads extracted for analysis.
02

Stakeholder mapping

Who is actually in each conversation.

Outcome: Stakeholder engagement mapped per deal with correlation to outcome.
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03

Velocity analysis

Where deals sit longest.

Outcome: Stage-by-stage velocity with dead-deal threshold identified.
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04

Engagement scoring

Message depth per deal.

Outcome: Deals scored by engagement depth, thin threads flagged.
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05

Gap identification

Find where the process breaks.

Outcome: Specific gaps identified: missing stages, absent follow-ups, single contacts.
06

Build the fix

Prompting and automation for the gap.

Outcome: Working change deployed, not a report. Prompting and automation live.

What is included

Data extraction

Deal records and communication history pulled out of the CRM and mail system for analysis, rather than read one deal at a time.

Stakeholder analysis

How many people from the buying side were actually engaged on each deal, and how that correlates with outcome.

Engagement depth

Messages sent and received per person per deal. Deals running on a single thin thread behave very differently from deals with real engagement.

Velocity analysis

How long deals sit at each stage, and at what point a deal that has not moved has effectively died.

Gap identification

Where the process breaks: stages nothing passes, follow-ups that never happen, deals with one contact and no second stakeholder.

The fix built

Prompting, sequences and automation aimed at the specific gap found. The output is a working change, not a report.

Want to know if this is the right starting point? Tell us what is not working and we will say whether this is where we would begin, or somewhere else.

Ask us

Problems we have solved

Described by the problem rather than by the client.

Deals dying on a single contact

What we found

Analysis showed that deals with only one engaged stakeholder almost never closed, and a large share of the open pipeline looked exactly like that.

What we built

Prompting inside the CRM when a deal passed a value threshold without a second stakeholder engaged, plus a follow-up sequence aimed at widening the conversation.

What changed

The problem became visible while deals were still live rather than at the post-mortem.

A stage where everything stopped

What we found

Velocity analysis found deals sitting at one stage far longer than any other, with a large share never leaving it.

What we built

The stage turned out to be waiting on an internal approval nobody was tracking. We built the tracking and the escalation.

What changed

The bottleneck was an internal process problem, which no amount of sales activity would have solved.

Often runs with

Talk to us about pipeline analysis

Thirty minutes, no deck. If this is not what you need we will say so.

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