Our process

Good CRO isn’t guesswork.

It’s understanding why customers hesitate and removing the friction. Here’s the method behind every engagement, from first audit to compounding results.

01

Research

We start with behavioural analytics, session recordings, heatmaps and customer surveys. Before we suggest a single change, we understand how your customers actually behave.

02

Prioritise

Every opportunity is scored against effort, confidence and commercial impact. We work on what moves revenue first, not what's easiest to ship.

03

Experiment

Hypotheses are tested properly — statistically sound A/B and multivariate tests, run for long enough to trust the result.

04

Scale

Winning tests are rolled out fully and documented. Losing tests are just as valuable — they rule things out and sharpen the next hypothesis.

Research methodology

Seven inputs. One clear picture.

No single data source tells the whole story. We combine quantitative and qualitative research so recommendations are grounded in more than one kind of evidence.

Analytics

GA4 and Shopify data reviewed for funnel drop-off, segment behaviour and revenue patterns most dashboards don't surface by default.

Heatmaps

Click, scroll and attention data across key templates, showing where interest gathers and where it disappears.

Session Recordings

Real customer sessions reviewed to see hesitation, rage clicks and abandoned actions in context.

Surveys

On-site and post-purchase surveys that ask customers directly what almost stopped them from buying.

Testing

A/B and multivariate tests run to statistical significance, never called early on a promising trend.

Iteration

Every result — win, loss or inconclusive — feeds the next hypothesis. Nothing is treated as a one-off.

Scaling

Validated changes rolled out fully, documented, and monitored to confirm the lift holds at scale.

A note on rigour

We’d rather tell you a test was inconclusive than call it early.

A result that hasn’t reached statistical significance isn’t a result — it’s a guess with a chart attached. Every test we run has a pre-defined sample size and duration before we look at outcomes. It’s slower than eyeballing a dashboard, and it’s the only way to know a change actually caused the improvement you’re seeing.

Start here

See what this process would surface for your store.

Book a free strategy call and we'll talk through where we'd start.