Growth Audits & Optimisation

The audit covers five areas in sequence: measurement integrity, channel-level efficiency, funnel conversion by stage, content and messaging performance, and team operating model. We deliberately start with measurement, because every later finding depends on whether the underlying data can be trusted, and we've seen too many otherwise-good audits from other agencies build confident recommendations on top of broken tracking.

Channel-level efficiency looks past headline metrics like impressions and clicks to cost per qualified opportunity and, where the data supports it, cost per closed-won revenue by channel and campaign. Funnel conversion looks at drop-off between each stage — visitor to lead, lead to opportunity, opportunity to close — because a single weak stage can be quietly capping performance across every channel feeding into it.

Content and messaging performance assesses not just traffic and engagement but whether the substance of what you're saying still matches how buyers in your category actually talk about their problem — a gap that widens surprisingly fast in fast-moving categories like fintech infrastructure or applied AI tooling. The operating model review looks at whether your team's structure, tools and reporting cadence can sustain the improvements the audit will recommend.

We pull directly from your analytics platform, ad accounts, CRM and marketing automation tool rather than relying on the dashboards your team already has built, because dashboards are often built to answer the questions someone asked eighteen months ago, not the questions the audit needs answered now.

Validation matters as much as collection. We cross-check reported conversions against raw CRM records, sample individual customer journeys manually to sanity-check what the aggregate data implies, and flag any metric where the definition has changed partway through the reporting period — a common and quietly distorting issue when teams have swapped CRM systems or redefined a lifecycle stage without backfilling historical data.

For fintech and financial services clients, we also check that any customer or lead data used in the audit is handled in line with your existing data governance and compliance requirements, working within your existing access controls rather than asking for exports that would create a compliance headache.

We use category benchmarks as a sense-check, not as a target. A B2B SaaS company's paid search cost-per-lead should be interpreted against its own historical trend and its own sales cycle economics, not against an industry average pulled from a report that mixes hundreds of businesses with completely different average contract values.

Where we do use external benchmarks, we're explicit about their limitations in the audit itself, so that findings don't quietly harden into targets that were never actually appropriate for your specific business. This matters especially in professional services, where deal sizes and cycles vary so widely between practice areas that a single blended benchmark is close to meaningless.

Every finding in the audit is scored on two axes: expected impact and implementation effort. This produces a straightforward quadrant — quick wins, major projects, incremental improvements and low-priority items — that becomes the backbone of the roadmap, so your team isn't left guessing about sequencing.

We assign a recommended owner to each item, distinguishing clearly between work your internal team can execute immediately, work that needs specialist support, and work that requires a decision from leadership before it can proceed — such as reallocating budget between channels or changing a pricing page that legal or product needs to sign off.

The roadmap is deliberately built for a rolling two-quarter horizon rather than a single big-bang implementation, because trying to fix everything at once makes it impossible to isolate which change actually drove which result — and isolating that is the entire point of running an audit-led programme rather than just making a pile of changes and hoping.

Across the audits we've run, a handful of issues appear repeatedly enough to be worth naming directly, even though each client's specific mix is different. Recognising the pattern early speeds up the audit and helps clients understand why a particular finding matters.

We run the audit alongside your team rather than in isolation, with structured working sessions at the start to gather context that data alone won't surface — why a campaign was structured a certain way, what's already been tried, what internal constraints shaped past decisions — and at the end to pressure-test findings before they're finalised.

This matters because an audit that contradicts institutional knowledge without engaging with it tends to get quietly shelved. An audit that incorporates that knowledge, tests it against the data, and is specific about where it agrees and disagrees, earns the credibility needed to actually change how the team operates afterwards.