CASE STUDY

How DeepStream built repeatable procurement-tech outbound from data

DeepStream builds AI-enhanced source-to-contract software for mid-market procurement teams. Their platform helps buyers run RFPs, manage suppliers, and execute contracts faster, with clients like BrewDog, Abbott, and Formula 1 teams on their books.

Apr 20, 20269:00 AM

At a glance

DeepStream builds AI-enhanced source-to-contract software for mid-market procurement teams. Their platform helps buyers run RFPs, manage suppliers, and execute contracts faster, with clients like BrewDog, Abbott, and Formula 1 teams on their books.

When DeepStream came to us, they needed more than meetings. They needed a partner who could help them understand their market deeply enough to build a repeatable outbound strategy around it. Procurement is a niche space with specific buyer personas, long evaluation cycles, and messaging that has to land with precision. Generic outbound wasn't going to cut it.

We embedded into their GTM, refined their ICP through data, and built an outbound engine that delivered 250+ sales calls over the course of the partnership, generating millions in pipeline. Every month was consistent. Every campaign was informed by what we learned from the one before it.

Over the partnership250+ sales calls
Generated from outboundMillions in pipeline
Procurement buyers identifiedICP refined through data
Predictable, repeatable outputConsistent month over month

The challenge

DeepStream operates in a specialised market. Procurement technology buyers are specific: they sit in particular roles, care about particular problems, and respond to particular messaging. Getting outbound right in this space means understanding the procurement world, not just sending volume.

The challenge wasn't just generating leads. It was building the strategic foundation to make outbound work in a niche vertical where the wrong targeting or the wrong message means zero response. DeepStream needed a partner who would invest in understanding their space, not just execute against a brief.

The solution

Deep Understanding of the Procurement Space

Before sending a single email, we invested in understanding DeepStream's market. Procurement technology has its own language, its own buyer journey, and its own set of triggers. We learned what procurement leaders care about, how they evaluate vendors, and what makes them respond to outreach. That understanding informed every campaign we ran.

ICP Refinement Through Data

We didn't start with a fixed ICP and run against it. We tested, measured, and refined. Campaign data told us which segments responded, which messaging angles converted, and where the highest-value opportunities sat. Over time, the ICP became sharper and sharper, built on real performance data rather than assumptions.

Strategy, Not Just Execution

Every week, our team brought strategic recommendations to the table. Which verticals to push into. Which messaging to retire. Where to increase volume and where to pull back. DeepStream didn't just get meetings, they got a GTM strategy that evolved with their market understanding.

Consistent, Repeatable Output

Outbound wasn't a spike followed by a dip. It was consistent month over month. That predictability gave DeepStream's sales team the ability to plan, forecast, and build a repeatable revenue engine around the pipeline we were generating.

The impact

Over 250 sales calls were booked across the partnership, generating millions in pipeline. That output was consistent every month, giving DeepStream a reliable source of qualified conversations they could build revenue around.

The ICP refinement work gave DeepStream lasting value beyond just meetings. They came away with a clear, data-backed understanding of who their best buyers are, what messaging resonates, and which segments offer the highest return. That strategic clarity carries forward into every part of their GTM.

The partnership proved that outbound in a niche vertical like procurement technology works when it's built on genuine market understanding rather than volume alone. Strategy and data drove the results, not just activity.

We stopped guessing where pipeline would come from. Endorsed AI built a system that delivers consistent results, month after month.