When is A/B testing not actually A/B testing? Discover the truth behind this common misconception and learn how to accurately measure the impact of your website changes. Join me, Ed Dawson, as I unravel the intricacies of genuine A/B testing versus basic before-and-after analysis. You'll gain insights into why simply comparing performance metrics before and after making changes doesn't qualify as true A/B testing, despite what some tools claim. Uncover the pitfalls of overlooking external factors like seasonality, traffic spikes, and algorithm updates, which can skew your results.
As we navigate this episode, I'll guide you through the nuances of proper A/B testing, or split testing, where two versions of a webpage are shown to different audience segments simultaneously. This approach offers a clearer picture of how your modifications truly impact user interaction and engagement. By understanding these distinctions, you'll elevate your SEO strategies and content optimization efforts, ensuring you're not just chasing correlations but actual causations. Tune in and refine your approach to achieving tangible results in the digital landscape.
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"Werq" Kevin MacLeod (incompetech.com)
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