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Case Studies

The work, in numbers.

Real engagements. Diagnostic-first. Guaranteed outcomes.

$2.1M
Phantom pipeline removed
84%
Attribution accuracy
62→21
Sales cycle days
78%
Less manual reporting
Pipeline Integrity
Pipeline Integrity

The pipeline shrank by 73%. Revenue went up.

A B2B company post-Salesforce migration with $2.1M in phantom pipeline and 34% forecast variance. 14-day audit. Full stage rebuild. Forecast accuracy recovered in 30 days.

$2.1M
Phantom pipeline removed
34%→<10%
Forecast variance
76%
Close rate
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Revenue Visibility
Revenue Visibility

From guesswork to a forecast the board trusts.

A scaling B2B company. Attribution broken across GA4, GTM, and HubSpot. Marketing couldn't connect spend to revenue. Full attribution rebuild in 30 days.

84%
Attribution accuracy
78%
Less manual reporting
40%
More SQL opportunities
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Velocity and Flow
Velocity & Flow

Sales cycle cut from 62 days to 21. No new hires.

Mid-market SaaS with a 62-day sales cycle - 3× longer than benchmarks. 41 of those days were internal waiting time. Stage redesign, routing automation, and Customer Success handoff rebuild. Done in 45 days.

62→21
Sales cycle days
3.2×
Faster lead response
45 days
To full implementation
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Learning Loops
Learning Loops

Quota attainment went from 22% to 61%. Nobody changed the offer.

One rep was closing at 140%. The rest of the team was at 22%. The system had no idea why she was winning. A win/loss audit surfaced two objections appearing in 70% of lost deals. Her process was codified. The gap closed.

22%→61%
Quota attainment
Month 2
New reps hit quota
28%
Conversion increase
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System Resilience
System Resilience

Two key people left. The revenue system held.

VP Sales and RevOps Manager both left within six weeks. Forecast accuracy dropped from 85% to 44%. The entire revenue function had been running on two people's memory. A resilience rebuild recovered it to 89% accuracy in 60 days.

89%
Forecast accuracy recovered
25%
Pipeline recovered
0
Revenue disruption
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