A/B Testing
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A/B Testing, also known as split testing. A/B Testing is a controlled experiment used for comparing two versions of a webpage, ad, email, or other digital asset. To determine which version performs better. Users are assigned to version A (control) or version B (variant). The key performance metrics of A/B testing are conversion rates, click-through rates (CTR), and engagement. Which are analyzed to identify the more effective option.
Why A/B Testing Matters
A/B testing helps marketers to make data-driven decisions for their business. Along with optimizing user experience, improving campaign effectiveness without relying on assumptions. And testing is done in-house.
Some Use Cases for A/B Testing
- Test the landing page of the website design and layout optimization in different designs.
- Email marketing subject line, format testing
- Marketing Campaign Ad copy, Ad targeting, timing, and creative performance comparison.
- Product development, Call-to-action (CTA), product pricing, product features, and effectiveness analysis.
