A/B testing, also known as split testing, involves creating two or more versions of an ad and showing them to different audience segments to compare performance.
A/B testing can save you on ad spend by helping you identify high-performing ad variations, allowing you to spend your budget wisely and maximize ROI.
When measuring in A/B testing, focus on metrics like Click-through rate, Conversion rate, Cost per click, and Return on ad spend for optimal performance.
Effective A/B testing enhances user experience by presenting relevant ads that resonate with user preferences, fostering brand loyalty and trust over time.
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