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Growth & performance

Conversion rate optimisation grounded in evidence

Doubling conversion rate is worth more than doubling traffic, and it is usually cheaper. But only if you test the right things.

What you getconversion rate optimisation
  • Conversion research audit
  • Heatmaps, recordings and funnel analysis
  • Moderated and unmoderated user testing
  • Prioritised experiment backlog
  • A/B and multivariate test builds
  • Monthly experiment readouts and win log
Conversion Rate Optimisation at Digiloom — growth & performance for clients in Pakistan, the UK and the Gulf

Overview

What our conversion rate optimisation work actually involves

We run CRO as a research programme with experiments attached. Analytics, session recordings, user testing, survey data and sales-call listening produce a prioritised hypothesis backlog. Then we test the biggest ones properly.

Where traffic is too low for statistical testing, we still run the research and ship evidence-based changes — we just say clearly that it is a judgement call rather than a proven lift.

Why us

Why clients pick Digiloom for conversion rate optimisation

Research before tests

Every hypothesis traces back to a specific observed friction, not a best-practice list.

Honest statistics

We report confidence intervals and stop rules. No calling a winner on day three.

Full-funnel scope

Ad, landing page, form, checkout and follow-up — the leak is often not where you think.

Implementation included

Winning variants get built properly, not left as a permanent client-side patch.

Process

How our conversion rate optimisation engagement runs

Measure

Verify tracking, then map where people actually drop out.

Research

Recordings, polls, user tests and sales-call themes.

Prioritise

Score hypotheses by expected impact, confidence and effort.

Test

One clean test at a time per template, run to a pre-agreed sample size.

Ship and compound

Roll winners into the codebase and design system, then repeat.

FAQ

Conversion Rate Optimisation — questions we get asked

How much traffic do we need to A/B test?

Roughly 1,000 conversions a month across the tested template gives usable results in a fortnight. Below that we use research-led sequential changes and longer measurement windows.

What lift should we expect?

Across a programme, 10–30% cumulative over six months is realistic for a site that has never been optimised. Anyone promising a fixed number before looking is guessing.

Which testing tools do you use?

VWO, Convert, Optimizely or GA4-based server-side splits, depending on your stack and traffic.

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Next step

Talk to someone who does conversion rate optimisation every day

You will speak to the person who would run the work, not a salesperson reading from a deck. Bring your numbers and we will tell you what we would do first.

Chat with us