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.
Feedback Loops
Processes where outputs of a system are used as inputs for improvement.
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Data Visualisation
Turning data into visual elements like charts or infographics.
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Landing Pages
Single-page websites created for specific campaigns or products.
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