Client results

Outcomes, not outputs.

We measure success by pipeline recovered, conversion rates improved, revenue predictability increased, and expansion revenue grown. Here is what that looks like in practice.

Security Solutions10 European markets

Security Solutions – $16B+ in annual revenue – 320,000+ global employees

Each of ten European markets ran its own marketing budget. Head office could not see where tens of millions were going or what they produced.

We started with a diagnostic sprint, then ran a 16-week project. It gave all ten markets one attribution model, shared reporting and a common way to decide where budget goes.

−41%blended cost per qualified lead

€50Kad spend recovered and reallocated in Q1

€15M+projected incremental revenue on open pipeline

SaaS & Cloud5 European markets

SaaS & Cloud – $5B+ in annual revenue – 5,000+ employees

Separate teams across Europe were contacting the same personas at the same accounts with no coordination. Other members of the buying committee were not being reached at all.

We set up the company's first account-based approach for its HR platform across five European markets. We connected the technology already in place and gave every team one shared account plan covering the full committee.

€1.8Mclosed-won business

2.3×larger average deal size on multi-threaded vs single-threaded deals

27%shorter sales cycle on engaged accounts vs the baseline

Financial Services

Financial Services – $450M in annual revenue – 8,000+ employees

The US team of a Global Insurance company was prospecting one contact at a time. It was missing the Finance, Risk and Treasury leaders who share the decision. It also missed the moment a company became exposed to customer risk or began expanding into Europe.

We built an AI SDR that tracked risk and expansion signals at target companies. It then worked through each member of the buying group with messages written for their role, and handed qualified conversations to account executives.

600target accounts

11%positive reply rate (vs 2% cold baseline)

41%of meetings with two or more buying-group members

Cybersecurity

Cybersecurity leader – $6B in annual revenue – 15,000+ employees

A cybersecurity leader kept losing shortlist places to competitors. It was almost invisible in the AI assistants its buyers now use for research.

Over six months we researched the buying committee and rebuilt messaging around it. We also raised the brand's visibility in AI search and ran coordinated demand programmes across target accounts.

3.4xpipeline vs prior campaigns

−68%cost per qualified opportunity

4xtarget account engagement vs industry average

The questions we answer for every client.

Before any engagement, we can tell you honestly whether we have solved your specific problem before, what the commercial outcome looked like, and what we would do differently with hindsight.

Have you improved pipeline accuracy and forecast reliability?
Have you increased conversion rates at specific funnel stages?
Have you redesigned buying group frameworks and funnel stage logic?
Have you cleaned CRM data and rebuilt attribution?
Have you built AI-powered programmes that generated measurable pipeline?
Have you reduced the time between strategy and execution?
Have you grown net revenue retention alongside new pipeline?
Can you connect your work to closed revenue?

If we cannot answer yes to the ones relevant to your situation, we will say so.

What we measure

Four numbers that actually move.

Pipeline recovered

Revenue that was leaking out of the funnel and is now converting – measured against the baseline we set in week one.

Conversion rate by stage

Where buying groups stall, and how much of that stall we removed.

Forecast accuracy

The gap between what was forecast and what closed, tracked quarter over quarter.

Net revenue retention

Expansion and renewal performance, reported alongside new logo pipeline – never instead of it.

Two colleagues reviewing revenue dashboards on screen together