Analytics & Insight

Using data to understand customer behaviour

My work with GA4, Looker Studio, Google Tag Manager and Microsoft Clarity moves beyond headline numbers to investigate journeys, acquisition, engagement and friction.

Google Analytics 4Looker StudioGoogle Tag ManagerMicrosoft ClarityExcel

My approach

I start with the question, not the dashboard

Why did traffic change?

Where are customers leaving?

Which filters matter?

Where is tracking breaking?

Investigation areas

What I look into

01

Vehicle journeys

Listing pages, filters, detail pages, calls to action, forms and exits.

02

Acquisition

Useful source groupings including paid, organic, social, internal and emerging AI referrals.

03

Campaign behaviour

Comparing landing behaviour, stock engagement, funnel depth and brand differences.

04

Entry & exit

Untangling dynamic URLs, parameters, brand filters and journeys spanning page types.

05

Recurring reporting

Weekly and monthly reporting designed for decisions, not routine spreadsheet production.

06

Data quality

Recognising broken events, attribution errors, filtering limitations and metrics that cannot be trusted.

Being able to question the data is as important as being able to report it.