Among the many sophisticated statistical methods we can use today, amplified by the availability of data and processing power, there is one relatively simple technique that should not be overlooked: the 'good and old' linear regression . I must admit, when I first applied regressions at work (almost 20 years ago...), I didn’t fully understand all the different concepts. But I did hear some "absolute truths" from someone: R² must be greater than 80% You need more than 80 data

From my experience, both retailers and consumer goods companies use category definitions almost always dictated by themselves, even when somehow considering consumer behavior. For example, Corona is considered a "premium" beer, and Glacial a "value" beer, but this classification was not established by consumers (and, most of the time, they don’t even know about it). In many cases, these definitions do not reflect how shoppers actually behave. This is why it's crucial to focus