All customer stories
DocketAI
Series A · San Francisco
customer story

Enterprise outbound that paid for itself in research time.

the arc
before

DocketAI's SDRs were spending most of the week researching accounts. Cold email kept hitting spam. The enterprise motion was on the roadmap, not in market.

after

TAM Outbound runs the enterprise motion end-to-end. Domain infra stays under 0.5% bounce, 5,000 modelled ICP accounts get cycled with multi-intent scoring. Sellers spent the saved hours in conversations.

numbers
−65%
SDR research time
<0.5%
bounce rate
5,000
modelled ICP accounts
3 mo
to enterprise motion
service used
inside the engagement

DocketAI is an AI Sales Engineer for B2B teams. Strong product-market fit on the lower end, an ambitious enterprise wedge they wanted to open.

They use TAM Outbound. The engine ships every enterprise ICP account on a 30-day cycle. Multi-intent signals score accounts daily; bounce stays under 0.5%.

Research time per seller dropped 65%. The enterprise motion went from roadmap to in-market inside the engagement window.

What this enabled: SDRs took conversations off a curated queue instead of building the queue themselves.

The domain infrastructure setup was strongly done. It paved the way for a strong enterprise sales motion.
Arun Lal · DocketAI

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