Performance Marketing

The first job on any engagement is agreeing what 'performance' actually means for your business, because a last-click, single-session conversion model — the default in most ad platforms — is close to meaningless when a deal takes four to nine months and touches a dozen stakeholders. We build a measurement framework around pipeline value and cost per opportunity, using CRM data as the source of truth, with leading indicators (content engagement, lead scoring movement, sales-accepted rate) tracked in between to avoid flying blind for months at a time.

For fintech and professional services clients in particular, we also weight for deal size and probability, since a channel producing fewer but larger, higher-probability opportunities can be the better investment even if it looks worse on a simple lead-count basis.

We manage paid search, paid social, SEO-driven organic, content and email as levers within a single budget and measurement model, rather than as separately-run workstreams competing for credit. This means budget can move fluidly — if organic content is outperforming paid for a given segment, spend shifts there; if a paid campaign uncovers a high-converting audience, we build organic and content assets to serve that same audience at lower cost over time.

This cross-channel view is where most agencies fall short, because they're typically structured around a single specialism and have no incentive to recommend shifting budget away from their own channel.

Performance marketing depends on structured testing, and we apply it wherever volume allows: ad creative and messaging, landing page structure, email subject lines and sequencing, and offer type (demo vs. guide vs. consultation). Where volume is too low for statistical significance — common in narrow enterprise or ABM segments — we use structured before/after comparisons and qualitative signal (sales feedback, call recordings) instead of forcing an A/B test that would never reach significance.

Every test is logged with hypothesis, result and decision, building an internal knowledge base of what actually works for your specific buyer rather than relying on generic 'best practice' benchmarks that may not apply to your category.

We look for conversion improvements at every stage, not just the landing page: form completion rate, lead-to-meeting-booked rate, meeting-to-opportunity rate, and opportunity-to-close rate where marketing has visibility. Small percentage improvements compounded across several funnel stages often produce a larger revenue impact than a single dramatic top-of-funnel traffic increase.

This requires close collaboration with sales, since several of these stages sit outside marketing's direct control — which is why our engagements typically include a standing review with sales leadership, not just marketing stakeholders.

Once a channel mix shows a stable pattern of cost per opportunity and opportunity-to-close rate, we build forward pipeline forecasts so leadership can plan budget against a revenue target rather than an arbitrary spend figure. This is particularly valuable ahead of board meetings or fundraising conversations in venture-backed technology companies, where marketing needs to demonstrate a credible, defensible growth model.

We run fortnightly sprint reviews and monthly strategic reviews, with a live dashboard available at any time rather than static reports. This keeps the programme accountable without turning every decision into a lengthy approval cycle — speed of iteration is itself a performance lever that's easy to lose once too much process gets layered on top of a marketing team.