+395%
leads growth in Duo Autopilot
-90%
leads dismissed in Duo Copilot
+114%
actioned leads in Duo Copilot

Fleet provides an all-in-one subscription service for leasing, managing, and renewing IT equipment and office furniture. Selling primarily to Tier 1 hyper-growth start-ups and scale-ups across Europe and the US, Fleet’s revenue team needed a scalable, predictable engine to support its path toward $100M ARR.
Before fully optimizing Amplemarket, Fleet’s outbound process lacked a unified foundation. Alex describes the early stages as "arctic," characterized by a lack of traceability and inconsistent execution.
Each SDR operated independently, choosing their own spacing, content, and channels. They “were lacking looking into the data to keep polishing our approach," Alex recalls.
Without centralized visibility, the team couldn’t systematically refine what worked.
Despite having access to powerful tooling, execution remained highly manual.
Tom shares that "to put it in contrast, before, they [SDRs] were still making lists, but without any criteria or guidelines, exporting and importing to HubSpot, and then working from HubSpot. That took so much time and effort." He continues by saying:
"Now they just simply add it into their list, and within five minutes, they can call 100 great leads."
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Manual list-building and system switching drained SDR productivity.
Tom noted that lead quality varied because there were no strict criteria for outreach.
"Previously, some reps navigated Amplemarket better than others. We moved from a 'free-for-all' model to a data-driven system, giving every user the right tools and criteria to target only ICPs," Tom explains.
Fleet transitioned from a manual process to a centralized, signal-based strategy. The goal was to ensure SDRs were engaging the right companies at the right time.
Alex is a big advocate of reaching out at the perfect time, sharing how “you cannot underestimate the power of timing. Being at the right place at the right time is just so important."
"If you have signals out there that are showing you intent, you're seeing some movement that is telling you that now is the time. Ignoring that, you're shooting yourself in the foot big time.”
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1. Define strict ICP criteria
Tom and the team built clear personas and company filters to eliminate ambiguity around qualification.
2. Integrate real-time intent signals
Signals such as LinkedIn ad clicks and funding events triggered outreach within 24-48 hours.
3. Centralize outreach and dialing
They started by "making sure everybody's on the same page and understood Amplemarket", and then moved outbound and dialing were moved directly into the all-in-one sales platform.
"We also moved the outreach to Amplemarket directly with the dialer to save time for SDRs, instead of calling through HubSpot, etc."
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This removed friction between multiple tools and reduced operational overhead.
4. Enable trusted automation through autopilot
As signal quality and sequence performance stabilized, Fleet enabled Duo Autopilot mode for specific triggers. Autopilot does not simply generate leads, but activates and sequences them automatically once predefined ICP and signal criteria are met.
Autopilot was enabled only after sufficient confidence was built in:
Once activated, leads generated from validated signals were automatically enrolled into outreach without requiring manual SDR approval.
This allowed the system to operate continuously in the background, removing the final human bottleneck between signal detection and outbound activation.
5. Add human-in-the-loop prioritization
AI handles scale with Amplemarket's Duo Copilot, so SDRs focus on high-engagement accounts. Tom describes this workflow:
"Our reps now work personal cadences with Duo Copilot running in the background. It sends periodic notifications on contact engagement, which I review with the team. Reps then act on these curated leads, marking a shift toward prioritizing high-value accounts, deepening market understanding, refining use cases, and engaging ICPs more effectively."
This helps them become more efficient and productive.
Signal-based outbound is a sales motion where outreach is triggered by real-time behavioral or contextual intent signals rather than static lead lists.
+395%
growth of leads in Autopilot
-90%
Duo leads dismissed
+114%
increase in actioned leads
+57%
increase in open rates
+100%
new leads in Duo
The shift to signal-based outbound, combined with trusted automation, delivered measurable ROI quite quickly.
Leads generated via Duo Autopilot surged from 1.3k in Q4 to over 6.3k in the first two months of Q1. Tom summarizes the performance lift, saying that "with that complete revamp, making sure they get not just generated, but also contacted was a major increase across the board. On most stats, we’re doubling everything."
This scale was made possible by enabling Autopilot after signal quality proved reliable.
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Achieved without adding proportional SDR headcount, because Autopilot continuously activated qualified leads in the background.
"Increasing quantity without dropping quality is the name of the game. So far, our hold rate has not suffered. We're increasing quantity while maintaining quality."
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The "leads dismissed" rate plummeted from 6% to 0.7%. "I think that showcases, first of all, the improvement of the personas but also in terms of who the who [Duo] copilot is reaching out to," Tom notes.
Before, SDRs spent hours building lists manually. This efficiency allows reps to focus on the market and use cases rather than manual exports.
SDRs are no longer spending time building lists or moving data between systems. Instead, they focused on conversations and demo conversion.
"Comparing last quarter's setup to our current AI-driven approach, the added value is clear in real time. AI assistance helps reps consistently hit weekly quotas and positions them to exceed them, driving stronger overall results."
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Fleet views AI not as a replacement for sales talent, but as an assistant, structured leverage.
Autopilot handled activation and sequencing for validated signals. SDRs focused on:
The system scales volume while preserving decision quality.
Tom describes a workflow where the AI surfaces leads that are interacting frequently with sequences. "Each week, I share a curated batch of 10–15 high-intent leads with each rep. These contacts show strong engagement signals and frequent interaction with our Copilot, giving reps a clear opportunity to take over from AI and convert that momentum into booked demos."
Fleet’s experience highlights 5 insights:
For Fleet, the partnership with Amplemarket has turned outbound sales into a repeatable, scalable operation. By embracing a motion fueled by intent signals, disciplined ICP criteria, and automation, they have gained the visibility needed to scale toward their $100M goal with confidence.
But the relationship between Fleet and Amplemarket goes beyond a simple software subscription. It is rooted in a shared commitment to maximizing value through active collaboration.
"Something that I think stands out from Amplemarket that I think is worth giving a shoutout, especially in the SaaS industry, is that lots of companies take clients for granted, and we have not felt that way with with Amplemarket. I really see a willingness to make the most out of the tool. The time invested on both sides has been key to the success."
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This combination of the right sales tech and deep partnership helps growth-minded teams like Fleet dominate their B2B prospecting & sales automation by unifying lead generation, intent data, and multichannel outreach into a single, AI-powered engine.
Whether you are looking to increase your meeting volume or sharpen your targeting, our platform provides the tools to turn cold outreach into warm, timely conversations.
Learn more about Fleet and follow the company, as well as Alex Amell and Tom Boersta, on LinkedIn.
Ready to see how intent signals can transform your pipeline?
Amplemarket automates lead sourcing and initial outreach via Duo Copilot, allowing SDRs to skip manual list building and focus on high-conversion calls and demos.
By using intent signals to filter prospects, companies can automate outreach to thousands of leads while ensuring only those who fit the ICP (Ideal Customer Profile) are contacted.
Intent signals are behavioral or contextual clues that a company may be in-market, such as funding announcements, ad engagement, hiring spikes, or repeated email interaction. Examples include funding announcements, LinkedIn ad clicks, hiring patterns, or repeated sequence interaction with Duo Copilot.
The biggest challenges in scaling a B2B sales team are building a predictable, high-quality pipeline, maintaining consistent execution, and aligning people, process, and tooling as volume grows. Teams often struggle with fragmented data and workflows, which create low traceability, manual bottlenecks, and difficulty understanding what actually drives conversions.
AI-powered lead generation typically delivers ROI by cutting prospecting time, increasing lead quality, and improving conversion, so more revenue is generated. In practice, this comes from automating low-value research, filtering out unqualified accounts, and surfacing sales-ready prospects earlier, which reduces wasted effort and accelerates pipeline creation.