Most reporting problems are not reporting problems. They are measurement problems wearing a dashboard. We fix the signal first, then build the view.
GA4 in 2026 moved from reporting toward decision support, with AI-generated insights, clearer attribution controls and planning tools. The most useful change is granular: you can now set a different attribution model and lookback window per conversion type, so a newsletter signup and a purchase are no longer forced to share one credit rule. Most accounts have never been reconfigured to take advantage of it.
The second change is that a whole channel became invisible to standard analytics. Visits that arrive because a model named you often carry no useful referrer, and the ones that do carry it are not aggregated anywhere by default. If AI visibility is part of your program, it needs a measurement frame of its own, sitting beside the channels you already report.
And the third is that browser-side tracking keeps degrading. Server-side collection, consent mode and offline conversion imports are no longer advanced options. They are what it takes for your bidding algorithms to receive an accurate signal.
A setup sprint that leaves the measurement trustworthy, then a monthly rhythm that turns it into decisions.
The same sequence every time, so you always know what is happening this week and what you will see next.
We write down the decisions you need to make each month, and work backward to the data required.
Week 1Tracking accuracy check across every platform. Broken signal is fixed before anything is reported on.
Week 1 to 3GA4, server-side collection, warehouse export and the dashboard.
Week 2 to 5Monthly narrative and a review call. Quarterly, a strategy reset against what moved.
OngoingThe CRO backlog runs continuously against the highest-traffic decisions on the site.
OngoingClient names and identifying details are changed. The figures are not.
A marketing site rebuilt for a Series A platform: reusable page blocks, content the marketing team can edit themselves, and every page labelled for machines, so they ship new pages without waiting on a developer.
Partly, and honestly partly not. Some referrals from ChatGPT, Perplexity and Copilot carry an identifiable referrer and can be isolated in GA4 with the right configuration. Many do not, because the buyer reads the answer, then searches your brand name or types your URL. We measure the two together: identifiable AI referrals as a channel, and share of answer against a fixed prompt set as the leading indicator behind branded demand.
If you are spending meaningfully on paid media, yes. Browser-side collection keeps degrading, and automated bidding is only as good as the conversion signal it receives. If you are not running paid, it is a lower priority than fixing your event model.
Rarely. Most accounts do not need a new tool, they need the one they have configured against the questions the business is asking. We will recommend a warehouse when data volume or CRM joins justify it, and not before.
One page of narrative, one dashboard, and a short list of what we are changing next. If a report needs a meeting to be understood, it is a bad report.
We run your brand through the answer engines your customers use, then send you the transcript of what they say about you. Free, and yours to keep whether or not we work together.
Generative Engine Optimization, Answer Engine Optimization and Large Language Model Optimization, run as one program across six engines.
Performance Max, Advantage+ and Demand Gen, with a weekly testing loop feeding them and a person deciding what gets fed.
Custom sites engineered to convert the person reading them and to be read correctly by the models that now recommend you.