QUESTION: Marketing analytics: how to run A/B tests and extract insights?

Running A/B tests is a fundamental marketing analytics tool that allows you to find conversion growth points without increasing the advertising budget. To obtain reliable results, each experiment must be carefully prepared and based on a preliminary analysis of user behavior.

On the topic of marketing analytics, always start by formulating a clear hypothesis and choosing a single success metric that you plan to improve. Then, do a quick test using a minimum viable product, a special landing page, or a series of qualitative interviews to check the audience's reaction.

After launching a split test, it is extremely important to wait for a statistically significant amount of data to accumulate and only then make a decision based on the numbers. When analyzing the results, record the interaction funnel: lead, qualification, offer, deal, and retention.

Always improve one bottleneck at a time rather than everything at once to clearly understand which specific interface, creative, or text element influenced the final conversion. Extract insights from each test, document them, and scale successful changes across the entire marketing campaign.