Case files.
Six of the 31 engines I’ve built since 2023, each with the problem, the build and the numbers it moved. Client names changed where NDAs apply.
Signal-based outbound engine
Replaced a five-SDR list-building motion with a Clay engine watching job changes, hiring spikes and funding news across 9,400 target accounts. Claygent writes the research, reps approve the first line.
7.4%
reply rate, up from 1.9%
$1.1M
pipeline in the first 90 days
Speed-to-lead router
Every demo request is enriched, scored and routed to the right AE in Slack within minutes, with a researched account brief attached. Bad-fit leads get a self-serve path instead.
9h → 4m
median first response
+31%
demo-to-opportunity rate
TAM map and account tiering
Scored 48,000 accounts on firmographic fit and live intent, then cut them down to 400 Tier 1 targets the AEs actually work, refreshed weekly from the warehouse.
48k
accounts scored and tiered
+18%
win rate on Tier 1 accounts
Closed-lost revival play
Watched 2,100 closed-lost opportunities for champion job changes, new funding and fresh hiring, then re-opened the ones that heated up with a context-aware note from the original AE.
$640k
pipeline revived in two quarters
22%
of revived deals closed
Champion tracking
Tracked 3,800 past users and buyers as they moved companies, enriched their new accounts and routed warm intros to the owning rep within a day of the change.
3.2x
meeting rate vs cold outbound
140
warm intros routed per quarter
Webinar-to-pipeline follow-up
Turned every webinar sign-up into a scored, researched lead with a personal follow-up drafted from their questions and firmographics, sent within an hour of the session ending.
11%
attendee-to-meeting rate
<1h
from session end to follow-up
P.S.
If your reps spend more time researching than selling, let’s fix that.
Twenty minutes, no deck. Bring your CRM questions and I’ll tell you what I’d build first, even if we never work together.
