Fleet doubles buying accounts and surges Autopilot leads from 1.3k to 6.3k with Amplemarket signal-based outbound
Fleet's outbound was uncoordinated and manual — SDRs operated independently with no shared criteria, no centralized visibility, and significant time lost to manual list-building and switching between tools.
A 'free-for-all' model where each SDR self-directed targeting without shared ICP criteria meant lead quality was inconsistent and the team could not systematically learn from what worked.
Fleet achieved a 57% increase in email open rates, doubled buying accounts, and an 8% social reply rate.
Leads generated via Duo Autopilot surged from 1.3k in Q4 to over 6.3k in the first two months of Q1, and Duo's recommendation dismissal rate dropped from 6% to 0.7%.
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Frequently asked questions
What did this team achieve with this AI workflow?
Fleet achieved a 57% increase in email open rates, doubled buying accounts, and an 8% social reply rate.
What tools did this team use?
Amplemarket, Duo Autopilot, Duo Copilot, HubSpot.
What results were reported?
Email open rate: +57%; Buying accounts: x2; Social reply rate: 8%; leads generated via Duo Autopilot: from 1.3k in Q4 to over 6.3k in first two months of Q1 (source-reported, not independently verified).
What failed first in this deployment?
A 'free-for-all' model where each SDR self-directed targeting without shared ICP criteria meant lead quality was inconsistent and the team could not systematically learn from what worked.
How is this sales outreach AI workflow structured?
Define strict ICP criteria → Trigger via intent signals → Centralize into one platform → Autopilot activates qualified leads → Duo Copilot surfaces high-intent leads → Duo learns from rep dismissals.