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Case Study / Fintech

Finding the friction
hiding inside growth.

How a conversion-intelligence programme helped a fast-moving fintech business understand where customer momentum was weakening—and what to improve first.

DisciplinesData & Conversion Intelligence · Performance Media · Growth Strategy
EngagementConversion Intelligence Programme
SectorFintech
Abstract printed data indicating financial structures
The Context

Interest was growing.
Activation was not.

A fast-moving fintech business had successfully generated demand and scaled acquisition activity, but too many potential customers were falling away before completing a meaningful activation step.

Existing reporting clearly showed the final outcomes but did not explain where the customer journey was losing momentum. The opportunity was to create a practical, connected view of friction—and turn that intelligence into better prioritised decisions across the business.

Tall abstract visual detail indicating structured information

Where does
intent become
hesitation?

The Approach

Turn signals
into a route forward.

01 —

Map the moments that matter

We looked beyond the final conversion number to understand the customer actions, handoffs, and decision points shaping the activation journey.

02 —

Find the friction worth solving

We identified the areas where attention was being lost, then prioritised the problems most likely to create meaningful movement if improved.

03 —

Build a learning rhythm

We created a clearer way for strategy, media, product, and conversion work to learn from the same customer signals.

What Changed

A clearer view
of the customer journey.

Measure movement, not just outcomes

Prioritise the friction customers actually feel

Let each signal guide the next decision

Tactile close-up indicating detail and precision
Wider architectural composition suggesting scale and structure
The Outcome

Less uncertainty.
More activation.

The work gave the team a more useful way to connect acquisition, customer behaviour, and conversion decisions—so growth could be improved with more intention.

31% Improvement in activation rate

24% Reduction in high-friction journey exits

A shared experimentation rhythm across teams

Illustrative portfolio metrics — replace with verified client data before publication.

The Shift

From more reporting
to more useful learning.

A clearer definition of conversion friction
Better prioritisation of next improvements
A shared view of what to test and why
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