Analytics and optimization

Marketing Analytics

Marketing analytics connects channel, funnel and revenue data into reporting and attribution you can act on — so budget decisions follow evidence.

We turn scattered platform numbers into a single, trustworthy view: clean tracking, a sensible attribution approach, dashboards built for decisions, and the analysis that tells you where to move budget. The aim is fewer arguments about numbers and faster, better calls.

Scope of work

What's included

01

Data foundation

Tracking audit and fixes so the underlying data is reliable.

02

Attribution approach

A pragmatic model — data-driven, position-based or blended — suited to your sales cycle.

03

Reporting & dashboards

Looker Studio or similar, built around the decisions you make weekly and monthly.

04

Funnel analytics

Stage-by-stage conversion and drop-off across the journey.

05

Revenue connection

Linking CRM or order data back to channels and campaigns.

06

Insight cadence

Regular analysis with specific recommendations, not just charts.

Process

How the engagement runs

  1. 01

    Assess

    We review data sources, tracking quality and current reporting.

  2. 02

    Model

    We agree the attribution approach and metrics that matter.

  3. 03

    Build

    We connect sources and build the dashboards.

  4. 04

    Operate

    We deliver a regular insight cadence with recommendations.

What you receive

  • Data and tracking audit
  • Attribution approach document
  • Reporting dashboards
  • Funnel and revenue analysis
  • Monthly insight report

Best suited to

  • Teams that argue about whose numbers are right
  • Businesses running several channels without a combined view
  • Companies scaling spend that need better allocation

FAQ

Marketing Analytics: common questions

01

Which dashboard tool do you use?

Usually Looker Studio for accessibility, connected to GA4, ad platforms and your CRM. We can work with other BI tools you already use.

02

Can you fix attribution completely?

No model is perfect. We implement a pragmatic approach, are transparent about its limits, and cross-check with holdout tests and blended metrics.

03

Do we need a data warehouse?

Not to start. For complex needs or high spend, a warehouse pays off — we'll advise when it's worth it.

04

What do we actually receive each month?

Updated dashboards plus a written analysis with specific, prioritised recommendations on where to shift budget and effort.

Ready to build your acquisition engine?

Tell us what you sell, where your customers are and what you want to achieve.