Triple Click Ads

Service / Analytics & CRO

Measurement you can defend in a board meeting

Tracking rebuilt so the numbers survive scrutiny, and an experimentation programme aimed at the pages where money actually changes hands.

The problem

Analytics & CRO, honestly

Every account we audit reports a different revenue figure in three places. We rebuild the tracking, agree one source of truth, and then run experiments against it — because a conversion-rate programme built on broken data is just an expensive opinion.

GA4 Server-side GTM BigQuery Looker Studio Snowplow Consent Mode Optimizely VWO

What is included

Six things we own from day one

Tracking audit and rebuild

Events, parameters and server-side collection specified, implemented and validated against your billing data.

Attribution modelling

A model your finance team can follow, with its assumptions written down and its blind spots named.

Dashboarding

One dashboard per audience — operator, executive, board — instead of one dashboard nobody reads.

Experiment programme

A prioritised test backlog against the pages and flows where revenue is decided.

Qualitative research

Session replay, on-site polls and user interviews to explain the numbers the dashboard cannot.

Consent and privacy review

Consent mode, regional rules and data retention reviewed with your counsel before anything ships.

How it runs

The sequence, in order

01

Reconcile

Platform numbers, analytics and your billing system compared line by line until the gaps are explained.

02

Rebuild

Tracking respecified and implemented server-side where it matters, then validated against real orders.

03

Test

Experiments run one at a time on high-traffic flows, powered properly, called on pre-agreed rules.

04

Institutionalise

Results written into a decision log so the same test is not re-run in eighteen months.

What you get

Deliverables you can hold

Everything below is produced for you, handed over in your systems, and stays yours if the engagement ends.

  • Measurement plan and validated tracking implementation
  • Attribution model with assumptions documented
  • Operator, executive and board dashboards
  • Prioritised experiment backlog and monthly test reports
  • Decision log of every test and its outcome

Questions

Asked often enough to answer here

Do we need to replace our analytics stack?

Usually not. Most of what we find is misconfiguration, not the wrong tool. We will say plainly if a migration is the cheaper path.

How much traffic does testing require?

As a rough floor, a few hundred conversions a month on the flow being tested. Below that we focus on qualitative research and structural fixes instead.

Can you work alongside our data team?

Yes. Where you have one, we write specs, hand over implementation, and validate — we do not need to own the pipeline.

Start with an audit

Two weeks, fixed fee, written findings on your analytics & cro programme. Keep the plan whether or not you hire us.