This project focuses on an A/B test in geospatial marketing analytics, a valuable approach, especially for companies selling digital products online.
Let’s imagine the following scenario: your company has launched a marketing campaign targeting two different geographic regions, such as California and New York.
The same campaign was sent to both regions, and now the key question is: does the conversion rate vary by region?
To answer this, we’ll apply an A/B test, a statistical method. Typically, parametric tests are preferred because they are robust and precise.
On a personal note, I failed inference statistics twice during college, which — ironically — sparked my fascination with its elegance and power.
I apologize for the level of detail, even if not strictly mathematical. When it comes to statistics, I only operate with rules and frameworks.