Growth Audit
Find what is holding you back, with data, not opinions.
A structured audit of your entire growth system, acquisition, conversion, retention, and economics, delivered as a ranked action plan.
Every growth plateau has a cause. It is usually not what the founder thinks it is. The instinct is to add more channels, increase budget, or hire another person. But the constraint is almost always in the system: a signal leak that is degrading the algorithm, a conversion drop-off that is invisible in the weekly report, a retention failure that is silently increasing CAC payback past the viable threshold. The growth audit finds the actual constraint, not the assumed one, before any money is spent fixing it.
What a growth audit finds that monthly reporting misses
Monthly performance reports summarise what happened: spend was this, leads were this, pipeline was this. A growth audit asks why it happened, whether it was good enough given the investment, and what the data suggests needs to change. The scope difference is significant. A monthly report normalises the trends visible in the most recent period. An audit examines the full 12 to 18 months of data to find the patterns, anomalies, and structural failures that routine reporting has obscured. It also examines the infrastructure layer beneath the performance data: are conversion events firing correctly in GA4, is the CRM lead source field populated reliably, is the CAPI connection sending the events that the algorithm is using for optimisation, are there campaigns running with budget but no active monitoring? These silent failures degrade performance over time without ever appearing in the weekly dashboard. An audit that examines both the performance data and the infrastructure that produced it finds a different and more complete picture than routine reporting provides.
Root cause analysis: from observed symptom to identified constraint
Root cause analysis in a growth audit follows a specific logic. The symptom is identified first, for example conversion rate on the primary acquisition landing page declined over a specific period. The contributing factors are then examined systematically: was there a change in the traffic mix coming to that page, a change in the landing page content, a change in the offer or call to action, or a seasonal pattern that explains the movement in prior years? Each factor is tested against the data until the explanation is isolated. The finding is not expressed as a metric change. It is expressed as a specific cause: the broad-match keyword expansion implemented in a specific month brought lower-intent search traffic that reduced the average visitor-to-lead conversion rate, and reverting to phrase and exact match on the affected campaigns should recover a specific portion of the conversion rate decline. This specificity is what makes the audit findings actionable rather than descriptive.
The ranked action plan: from findings to a prioritised intervention list
A growth audit that produces a long list of unranked findings creates analysis paralysis rather than clarity. The action plan ranks findings by the combination of expected revenue impact and implementation effort required, using a simple two-by-two prioritisation. High-impact, low-effort interventions go first because they produce visible results quickly and build momentum. High-impact, high-effort interventions are planned for the medium term with clear ownership and timelines. Low-impact, low-effort changes can be batched and handled when bandwidth allows. Low-impact, high-effort items are explicitly deprioritised rather than left unresolved on a list. Each item in the action plan specifies the finding in a single sentence, the expected impact on a specific metric, the implementation steps required, the person responsible, and the measurement method that confirms the intervention worked. The 2-hour debrief that accompanies the written report walks through every finding in priority order and ensures the leadership team leaves with a clear picture of what to do first.
Channel-by-channel review of CAC, ROAS, conversion rates, signal quality, and attribution accuracy, with a ranked list of the biggest efficiency gaps.
Landing page conversion rates, funnel drop-off analysis, lead quality assessment, and sales process review to identify where qualified pipeline is stalling.
Churn rate by cohort and segment, expansion revenue analysis, and customer lifetime value modelling to quantify the retention gap.
CAC, LTV, payback period, and contribution margin calculated by channel and customer segment, with clear visibility into which parts of the business are profitable.
Review of CRM, attribution, and automation tools for gaps, redundancies, and configuration errors that are silently undermining performance.
A prioritised list of the 5–10 interventions most likely to move the needle, ranked by expected impact and implementation effort.
- 01Data collection: pull 12 months of acquisition, conversion, and retention data from every available source, ad platforms, CRM, GA4, and Shopify or billing.
- 02System mapping: map the full revenue system from first ad impression to customer lifetime value, and identify every gap, leak, and unknown.
- 03Root cause analysis: separate symptoms from causes, not "conversion is low" but "conversion on this specific landing page for this specific audience segment dropped 40% in month 3 because of this specific change."
- 04Prioritisation: rank findings by revenue impact and implementation cost, the highest-leverage interventions first, not the easiest ones.
- 05Delivery: a written report with findings, root causes, and a ranked action plan, plus a 2-hour debrief to walk through every finding.
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