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Split Testing Strategy Definition

Definition: A split-testing strategy, also known as A/B testing, is the process of comparing two or more versions of a webpage, ad, or email to see which performs better. By sending different variations to segments of your audience, businesses can measure which version generates more clicks, conversions, or sales. A split-testing strategy helps marketers make data-driven decisions instead of relying on guesswork.

Use it in a Sentence: The marketing team implemented a split-testing strategy to compare two landing page headlines and discovered the new one boosted sign-ups by 20%.

Why a Split-Testing Strategy is Important

1. Replaces Guesswork With Data

Instead of relying on opinions, split-testing shows exactly what your audience responds to.

2. Boosts Conversions

Even small tweaks—like a new CTA button or image—can deliver significant improvements in results.

3. Optimises Marketing Spend

By identifying the best-performing version, businesses can allocate budget more effectively.

4. Supports Continuous Growth

A split-testing strategy is ongoing. Each test builds on the last, creating steady improvements over time.

From Testing to Winning

A split-testing strategy ensures every change to your campaigns is backed by evidence. Over time, these data-driven decisions add up to higher conversions and stronger ROI.

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