She was closing deals. The system had no idea how.
A B2B founder carrying every deal personally. No pipeline, no source tracking, no follow-up system. Revenue depended entirely on her being in every conversation. First working system built in 10 days. Conversion rate up 34% in 60 days without adding a single new lead.
Three years of selling. No idea which channel was producing the clients.
A B2B consultant generating leads from LinkedIn, events, and referrals. Closing clients. No visibility into which of those channels was actually producing revenue versus producing noise. 90 days of source tracking changed every decision about where to invest time and attention.
The pipeline shrank by 73%. Revenue went up. That is not a typo.
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.
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.
Sales cycle: 62 days to 21. No new hires. No new product. Same team.
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 Support handoff rebuild. Done in 45 days.
Quota attainment: 22% to 61%. Nobody changed the offer. Nobody changed the team.
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.
Two key people left within six weeks. 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.