Marketing Attribution

A GA4 property can be live and still be wrong. We audit what you have: how events fire, whether conversions reflect your business, what the data layer passes through, and where the numbers disagree with your CRM or ad platforms. Then we build it properly.

As GA4 moves to event-based tracking, the precision of every interaction matters. We implement a data layer through Google Tag Manager so the data you collect is richer and more accurate, including visitor and app data. Server-side Google Tag Manager is available where you want a full server-side set-up, asynchronous tag loading to keep your site fast, and built-in debugging tools for testing.

The set-up covers event and goal tracking, site search reporting, custom dimensions for the data points unique to your business (membership levels, say, or specific customer behaviours), conversion path analysis to visualise your funnel, and ecommerce reporting. GA4 connects to Google Ads and to BigQuery, so the data works for you beyond the GA4 interface. Reporting is built for the people who read it: live dashboards, separate reports for different departments, and Looker Studio or Power BI integrations. Our HubSpot vs GA4 comparison and our guide to why use BigQuery for your GA4 go deeper.

If you saved your Universal Analytics history before Google's 1 July 2024 deadline, we can align it with your GA4 reporting.

For most businesses the sale does not happen on the website. It happens on a phone call, in a showroom, at a point-of-sale terminal or inside a CRM after a salesperson follows up. Click-based reporting cannot see any of that, so it undersells the channels that started the journey.

We close the gap. Using custom data warehouses, we attribute your campaigns to sales even when those sales happen offline. The method depends on your business: CRM integration, unique identifiers, call tracking and point-of-sale integration, with the Measurement Protocol API where GA4 needs offline events fed back in. As a HubSpot Partner, we also use HubSpot's attribution features, with custom reporting and integrations on top. Where the CRM is the weak link, our CRM development work fixes it.

Two worked examples follow below. At Arcare, connecting offline sales to digital marketing lifted attribution by 80% and revenue attribution by 30%. Ainslie Bullion's marketing stack audit and attribution model reported +150% real platform CPAs and 100% real revenue attribution. Then comes the model. Multi-touch attribution shares credit across every touchpoint that contributed to a conversion. Linear gives each touchpoint equal credit. Time decay gives more to the touchpoints closest to the conversion. Position-based gives most of the credit to the first and last touches and spreads the rest across the middle. Which one suits you depends on how your customers buy, so we map the customer journey first. Customer journey mapping pinpoints each touchpoint so you can see the whole customer experience and line your marketing up with your audience. Real-time dashboards then pull the results together, so you respond to trends as they happen, not at the end of the quarter.

Attribution only pays when someone acts on it every week, not once a year. That is the performance loop: measure, review, improve, repeat. Labs is BFJ's client intelligence platform. Each night it reads your accounts across your platforms, surfaces what has changed, works out what the pattern means and flags what to act on, sequenced by commercial impact. A senior BFJ team member reviews every output before it reaches you. You get a decision, not a data dump.

Labs connects spend, performance, pipeline, call tracking and revenue into one view, framed in revenue and margin rather than impressions and clicks. It runs onshore in Australia. And it is honest about its limits: if tracking is broken, first-party data is thin or GA4 is misconfigured, Labs cannot produce reliable intelligence. That is why the GA4 audit, first-party data strategy and clean event tracking come first.

After launch, a quarterly commercial review ties the intelligence back to revenue and margin. That is where compounding results become visible. Labs is part of every BFJ retainer, not a separate product. Read more in how AI changes reporting, attribution and media modelling.