Marketing analytics and web analytics for clearer decisions

Marketing analytics is the process of collecting, checking and interpreting data from channels such as organic search, paid advertising, websites and ecommerce so marketing decisions can be based on evidence. The useful part is not the dashboard itself, but understanding what changed, what the data can reliably show and what action should follow.

Web analytics focuses on how people arrive at and use a website, including landing pages, traffic sources, engagement and conversion behaviour. Marketing analytics is broader because it can connect that website behaviour with advertising, search, ecommerce and other channel data.

Yes. We can review GA4 configuration, events, key events, landing-page reporting and how Google Analytics connects with the wider marketing measurement setup. The exact work depends on the website, consent setup and the actions the business needs to measure.

Yes. We can review and help structure conversion tracking for enquiries, purchases and other meaningful actions. We first define which actions should count, then check whether the available tracking and consent setup captures them consistently enough for decision-making.

Google Ads and GA4 can use different attribution rules, reporting dates, identity signals and processing methods, so their numbers should not be expected to match exactly. We reconcile the definitions and use each platform for the decisions it is best suited to support.

Marketing attribution is the attempt to understand how channels and touchpoints contribute to a conversion. Attribution models apply different rules to that contribution. They can provide useful context, but they are models rather than perfect proof of what caused a customer to convert.

Not necessarily. A custom dashboard is useful only when it makes recurring decisions faster or clearer. If a smaller GA4, Search Console or advertising report answers the important questions, adding another reporting layer can create more maintenance without improving decisions.

We compare the strongest available signals from each channel, such as Search Console visibility, advertising performance, landing-page behaviour, key events and ecommerce outcomes. We do not force different platforms into artificial agreement; instead, we document definitions and use the combined evidence to identify the next realistic priority.