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.
Audience Profiling
Creating detailed descriptions of your target audience.
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Net Promoter Score (NPS)
A metric used to measure customer loyalty and satisfaction.
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Content Distribution
The process of sharing your content across various platforms.
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