Bad data is not a reporting problem.
It is a budget problem.

Why analytics infrastructure comes before strategy.

The most common mistake in early-stage marketing is investing in channels before investing in measurement. A company running paid media on Meta and Google without a verified conversion layer in GA4, a clean GTM implementation, and an attribution model that reflects the actual sales cycle is not running performance marketing. It is funding ad platform revenue without being able to confirm that any of it is working.

Analytics infrastructure is not a reporting project. It is the foundation that makes every other marketing investment either defensible or a guess. When GA4 events fire correctly, when conversion data is validated against CRM records, when UTM parameters are consistently captured from click to close, the marketing team has a basis for decisions rather than a collection of metrics that confirm whatever the team already believes.

The five engagements on this page address five distinct layers of the measurement stack, from raw event data collection and tag management through to attribution modelling and executive-level dashboards. Each layer depends on the one below it. A dashboard built on misconfigured GA4 data is not a useful dashboard. A GA4 property without a working GTM implementation is not a complete tracking layer. The correct sequence is data collection first, validation second, attribution third, reporting fourth. That sequence is how every analytics engagement here is structured.

The businesses that get the most from this work have been running paid media for 12 to 18 months and have a dashboard of some kind, but the team does not fully trust the numbers in it. The monthly performance review takes three hours to compile and still leaves the leadership team uncertain about which channels are actually driving revenue. Every analytics engagement here ends with data infrastructure the team can trust and dashboards designed around the specific decisions the team makes each week.

Choose your engagement.

Five analytics infrastructure services. Each one addresses a specific layer of the measurement stack, from raw event collection to executive-level dashboards.

Who the five analytics engagements are right for.

Companies spending on paid media and making channel decisions from platform-reported data that has never been validated against CRM records or finance data. These businesses are optimising campaigns for a metric that may not represent the actual business outcome, and the first step is finding out what the data actually says before any channel decisions are changed.

Marketing teams that have had GA4 for 12 or more months and are not certain whether the events are firing correctly, whether duplicate conversions are inflating the numbers, or whether the conversion events the platform is using for optimisation are the same ones that represent real revenue. The GA4 setup and GTM audit is designed specifically for this situation.

Businesses preparing for a fundraise and needing to produce attribution data that shows investors exactly which channels are generating the pipeline and at what acquisition cost. Investor scrutiny of marketing attribution at Series A and B has increased significantly, and companies that can produce channel-level CAC data from a clean, validated measurement layer are at a significant advantage in those conversations.

Growth-stage marketing leaders who have inherited a measurement setup from a previous team and need to understand, before committing to any reporting strategy, whether the underlying data is trustworthy. The audit is the starting point before any investment in dashboards or reporting infrastructure is made.