Proof
Every deploy ends with a dashboard. Here are four of them — the leak we found, the wire-up we shipped, and the measurable delta.
B2B Fintech · $18M ARR · anonymized
Inbound leads sat in a Gmail alias. Average first-touch: 4h 22m.
Wired intake → scoring → routing. Lead in CRM + Slack ping to owning rep < 45 seconds.
"We hired 2 SDRs last year. We could have skipped that."
Enterprise SaaS · $42M ARR · anonymized
Marketing fired MQL. Sales didn't trust the score. 47% never got worked.
Rebuilt scoring on closed-won signals. Live model, not static rules. Reps see *why* a lead scored the way it did.
"First time marketing and sales agreed on a number in three years."
Healthcare platform · $9M ARR · anonymized
3 outbound tools running in parallel. Leads got hit 4 times in one week by different reps.
Single routing queue with idempotent ownership. One owner per account at any time. Cadences suspend when a human engages.
"Not going to lie, the deliverability improvement alone paid for the deploy."
High-LTV services · $6M ARR · anonymized
Follow-up sequences were generic template blasts. Reply rates under 2%.
AI-drafted first-touches in the CEO's voice, adaptive on reply, hard escalation to human on warm signal.
"Our reps get meetings booked while they sleep. That's the whole pitch and it's actually true."
Claims integrity
Every number above was measured on live production traffic. Client names are withheld until each one approves attribution.
On the diagnostic call, we'll screen-share one unredacted client dashboard under NDA so you see the receipts first-hand.
The diagnostic finds your three biggest leaks in under an hour.