Analytics & Funnel Review
GA4, the funnel events, the conversion paths and the data the experimentation needs.
Growth & Visibility
Conversion rate optimisation (CRO) for businesses that already have traffic — analytics review, funnel mapping, hypothesis backlog, A/B tests, landing pages, the experimentation framework and the monthly review against the conversion data, not the impressions.
Analytics & Funnel Review
Hypothesis Backlog
A/B Testing
Landing Page CRO
Checkout & Form CRO
Experimentation Framework
Overview
The reason most CRO engagements fail is the same: the agency runs a single A/B test, sends a report, and the revenue does not move in a way the business can attribute to the work. The work is an experimentation program, not a one-off test.
We do CRO as a program: analytics review, funnel mapping, hypothesis backlog, A/B tests, landing page iterations, the experimentation framework and the monthly review against the conversion data. The output is a system that compounds, not a single test that ships and is forgotten.
This is the wrong engagement if the real problem is traffic, not conversion. A CRO program on a site that does not yet have traffic is a waste of money. We will say so on the call.
What we deliver
GA4, the funnel events, the conversion paths and the data the experimentation needs.
A prioritised backlog of testable hypotheses, ranked by impact and effort.
A/B tests run in VWO, PostHog or Google Optimize, with the analysis built in.
Landing page iterations against the offer, the audience and the funnel stage.
Checkout, form, the friction points and the iterations that lift conversion.
The process, the cadence, the documentation and the team enablement.
Our process
01
Discover
We audit the analytics, the funnel, the friction and the testable hypotheses.
02
Plan & Design
We write the hypothesis backlog, the priorities and the experimentation plan.
03
Develop
We ship the test variants, the landing pages and the forms in sprints.
04
Deploy
We run the tests, watch the data and call the result when it reaches significance.
05
Optimize & Grow
We review the data monthly, ship the winning variant and queue the next test.
Technology
What you can expect
Industries we serve
A single A/B test reaches significance in 2–4 weeks, depending on the traffic and the effect size. The experimentation program compounds over 3–6 months, with the framework getting cheaper to run each month. The first month is the audit and the framework setup, with the first tests shipping in the second month.
Enough to reach statistical significance on a test in a reasonable time. For a checkout, a few thousand sessions a month is enough. For a landing page, a few hundred visitors a day. We will say so on the audit, with a written recommendation for the test cadence and the test sizes.
The design is part of the engagement. We design the test variants, ship them in the framework, and iterate against the data. When the design system needs a larger overhaul, we recommend it as a separate engagement, not as part of the CRO program.
That is the goal. The experimentation framework is documented, the cadence is set, the documentation is in place. The team runs the next test, with us on call for the harder questions. The work compounds, because the framework gets cheaper to run each month.
Related services
Business software
Tell us the outcome you need. We’ll come back with an approach, a timeline and a written estimate.