Performance Marketing for B2B Growth Teams

Ad spend that has to prove itself.

We run paid search, paid social, and landing page tests for B2B SaaS and venture-backed startups. Every campaign starts as a written hypothesis and gets measured against your CRM pipeline, not a platform dashboard.

Start a test See pricing

We report what your CEO actually asks about.

Most agencies hand you a dashboard full of numbers that look good and mean nothing to revenue.

Vanity metrics

What we report instead

Impressions and reach

Sales-qualified opportunities created

Click-through rate in isolation

Cost per qualified pipeline dollar

Platform-reported conversions

CRM-confirmed closed revenue

Cost per lead, regardless of quality

Cost per lead your sales team actually wants

What we run

Four channels. Every one of them earns its budget.

Paid Search

Google and Bing campaigns built around bottom-of-funnel intent, structured for qualified pipeline, not just clicks.

Paid Social

LinkedIn and Meta campaigns tested against real account-based targeting instead of broad-reach guesswork.

Landing Page & CRO

Every campaign gets a matched landing page, tested and iterated until conversion rate stops improving.

Attribution & Reporting

Pipeline-level reporting tied to your CRM, not a platform dashboard claiming credit for everything.

How we test

No campaign runs without a hypothesis.

Baseline

Two weeks auditing your funnel, tracking, and past spend to find where the real gaps actually are.

Hypothesis

Every test starts as a written hypothesis tied to a pipeline metric, reviewed with you before it runs.

Test & Measure

Structured two-to-four week cycles, one variable at a time, measured against your CRM data.

Scale What Works

Winning tests get budget. Losing tests get killed fast. No campaign survives on sunk cost.

If a test can't survive contact with your CRM, it doesn't get more budget.

Most agencies protect their own campaigns. We don't have that incentive, because we don't get paid more for keeping a losing test alive. Every hypothesis gets a fixed window, a fixed budget, and a real measurement against pipeline. If it wins, it scales. If it doesn't, it's dead within the month, not quietly running forever on autopilot.

Results