Let data drive your decisions

Every change you make to your website is a hypothesis. Will a different headline increase conversions? Will a new button colour get more clicks? Will a shorter form generate more leads? Without testing, you're just guessing.

A/B testing—also known as split testing—is the scientific method applied to your website. We show different versions of a page to different visitors and measure which performs better. The winner is determined by actual user behaviour, not opinions.

At SURGE MARKETING, we run rigorous A/B testing programmes for UAE businesses. We identify high-impact testing opportunities, design statistically valid experiments, and implement winning variations that measurably improve your conversion rates.

Start Testing Today

What can be tested

  • Headlines and value propositions
  • Call-to-action buttons (text, colour, placement)
  • Form length and field order
  • Page layouts and visual hierarchy
  • Images and videos
  • Pricing displays and offers
  • Navigation and menu structure
  • Checkout and booking flows

Comprehensive testing programmes

Test Identification

We analyse your data to identify the highest-impact testing opportunities—where small changes can yield significant results.

Hypothesis Development

We create clear, measurable hypotheses for each test based on user research, analytics data, and best practices.

Variation Design

We design test variations that isolate single variables for clear results, or multivariate tests for complex optimisations.

Technical Implementation

We set up tests using industry-leading tools with proper tracking, ensuring accurate data collection.

Statistical Analysis

We analyse results with statistical rigour—ensuring you have confidence in winners before implementing changes.

Implementation & Learning

We implement winning variations and document learnings to inform future tests and build organisational knowledge.

The scientific method for marketing

01

Research & Prioritise

We analyse data, identify opportunities, and prioritise tests based on potential impact and ease of implementation.

02

Hypothesise & Design

We develop clear hypotheses and design variations that will prove or disprove them.

03

Test & Monitor

We launch tests, monitor for issues, and let them run until statistical significance is reached.

04

Analyse & Implement

We analyse results, implement winners, and feed learnings into the next round of tests.

Ready to optimise with confidence?

Let's discuss how A/B testing can improve your conversion rates.

Start Testing