Glossary
A/B Testing
Comparing two versions of a campaign to see which performs better.
Defination
A/B Testing is a data-driven approach to decision-making. By comparing two versions of a webpage, email, or ad, you can determine which performs better with your audience. This ensures your efforts are impactful and aligned with user preferences. Beyond identifying the most effective option, A/B Testing allows you to refine messaging, visuals, or functionality in a controlled environment. It reduces guesswork and fosters confidence in your strategies, ultimately driving better results and user satisfaction.
Experimentation Platforms
Tools that allow testing and optimisation of digital strategies.
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Geo-Targeting
Delivering ads or content based on a user’s geographic location.
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Campaign Planning
Structuring a marketing initiative with clear goals, timelines, and deliverables.
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