A/B testing, or split testing, is a marketing technique of comparing two versions of your e.g. website, page, app, or site element to evaluate which one works better on the same audience. As you run the experiment, users see two or more variants of the same page, button, email copy, etc. Then, with the help of statistical analysis you can identify which version performs better in terms of conversions.
Keep in mind the timeline for running the test is an important factor. Plan your test to cover full weeks and last a minimum of two weeks. If traffic volumes are small, then extend this timeframe. Don’t forget about supporting your tests with a specified thesis.
To learn about best tools for A/B testing, read our article: Best 10 A/B testing tools for 2023: Google Optimize
A/B testing
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Cross-platform analytics: Deep dive into benefits for various businesses
SUMMARY Users no longer follow a neat and organized path when interacting with products and services. The customer journey is much more complex than it used to be. Visitors use different platforms, often switching between native apps, mobile apps, and desktop browsing as they progress toward becoming clients. For instance, customers could begin on the…
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25 years of digital analytics with Brian Clifton: Being data-informed, not just data-driven
As organizations increasingly rely on data in their business decisions, the challenges of ensuring data accuracy, consistency, and ethical collection are becoming more and more important. Along with understanding the audience’s needs, supporting collaboration between teams, and securing privacy compliance, these challenges have evolved into data collection and analytics priorities. Let’s dive into the third…
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