Multiple clients · 4 sectors

CRO, Personalisation & Optimisation in Practice

Behaviour-led diagnosis. Sharp hypotheses. Targeted design interventions specific enough to prove whether they worked.

Experimentation Personalisation CRO Growth Design

The approach

Signal. Intervention. Impact.

01 Signal

Read the behaviour

Quantitative data identifies where intent drops off. Qualitative signals explain why. The starting point is always: what was the user trying to do, and what stopped them?

02 Intervention

Design the smallest targeted change

Precision over scope. The more focused the intervention, the clearer the causal link between the change and the result. Every hypothesis ties a mechanism to an expected behaviour shift.

03 Impact

Measure what actually matters

Choose the metric that reflects the decision being made at that specific funnel moment, not the most convenient one to track. A well-formed test generates useful learning even when the variant loses.

Experiment library

Six engagements across four sectors

Some of my most memorable experiments across finance, education, e-commerce, and SaaS, each designed to solve a specific behavioural problem and improve a measurable outcome. Hover or tap a card to see the full story.

SaaS
+23%

Xero

Returning visitors were seen as new arrivals. A personalised hero recognised prior intent and turned hesitators into trial sign-ups.

Signal

Returning visitors saw the same top-of-funnel hero as first-time visitors, with no acknowledgement of prior engagement and no direct path forward.

Intervention

Hero personalised to visit history. Returning visitors received a message that acknowledged prior engagement and surfaced a more prominent trial CTA.

Impact

+23% free-trial registrations

Education
+78%

Deakin University

Students close to applying hit a generic homepage. Intent-matched content at the critical decision moment lifted lead CVR by 78%.

Signal

High-intent returning students saw top-of-funnel content at the critical application decision moment. Messaging calibrated for no one in particular.

Intervention

Homepage personalised based on prior course-area browsing: faculty-specific content, matched application steps, relevant social proof.

Impact

+78% lead CVR · +178% apply engagement · +18% YoY acceptances

E-commerce
€1.54M

Decathlon

Making commercial value scannable on product listings drove a +2% CVR lift and €1.54M in revenue.

Signal

High-intent shoppers scanning PLPs weren't seeing promotional and commercial value quickly enough to influence their click or add-to-cart decision.

Intervention

Visual value stickers added directly to product listings, surfacing offers, exclusivity, and popular picks at the scanning stage, before the user clicks.

Impact

+2% CVR · +0.61% CTR · €1.54M business value

Finance
+20%

nabtrade

A fractured cross-channel journey was bleeding applications. Aligned messaging and onsite UX fixes increased application completes by 20%.

Signal

Users arriving from paid search encountered misaligned onsite messaging and a friction-heavy application flow. The cross-channel experience required users to mentally reconnect.

Intervention

Cross-channel remarketing aligned with onsite UX improvements, reducing application friction and ensuring message continuity from ad through to form completion.

Impact

+20% application completes · +69% CTR · −62.5% CPC

Finance
+25%

Ubank

Adding reassurance at the start of the application, before the first high-commitment action, increased application completes by 25%.

Signal

Drop-off concentrated at the point of first commitment in the application flow. Users weren't yet sure what they were signing up for, or what came next.

Intervention

A single reassurance step added early in the flow, setting expectations and reducing anxiety before asking for the first high-commitment action.

Impact

+25% application completes

Education
+43%

Western Sydney University

Two personalisation gaps, Open Day and offer-to-enrolment, both solved by matching the experience to course intent. +43% signups, ~$20M revenue impact.

Signal

Generic homepage before Open Day. Personalised offer emails landing on a generic enrolment page, with continuity breaking at the most important conversion moments.

Intervention

Intent-matched homepage personalisation for Open Day. Personalised email sequence matched to course + faculty, landing on a personalised enrolment journey.

Impact

+43% Open Day signups · Largest Open Day in WSU history · ~$20M revenue impact

What this work proved

Four principles that transfer across every sector

1

Relevance beats generic optimisation

A personalised experience that acknowledges what the user has already done consistently outperforms a generic experience optimised for a broad average. Recognising intent is itself a conversion mechanism.

2

High-intent moments need clarity, not more friction

When a user is close to committing, the most common mistake is introducing unnecessary cognitive work: too many options, reassurance withheld, value buried. The job at high-intent moments is to get out of the way.

3

Small UX changes can unlock major commercial impact

The Decathlon sticker work was not a redesign. The Ubank change was a single added step. Precision targeted at exactly the right friction point makes the commercial impact disproportionate to the design effort.

4

Structural problems require structural hypotheses

The highest-impact tests challenged assumptions already built into the product, about what users needed to see, in what order, before they would act. Holding those assumptions lightly is where the real learning lives.

Next case study

Booking.com: Design Language Portal

Creating the standards and infrastructure that helped 100+ designers and external partners make consistent design decisions at scale, without needing to ask.

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