What is the difference between the evolution of the average score per month and the evolution of the average score per month over the last 12 months?

We understand the importance of closely monitoring your customers' reviews, which is why we want to clarify the distinction between two essential metrics: the evolution of the average rating per month and the evolution of the average rating per month over the last 12 rolling months.

 

📊 Evolution of the Average Rating per Month 

When we talk about the evolution of the average rating per month, we refer to an analysis specific to each individual month. There is no notion of accumulation in this approach. The average rating is calculated taking into account only the reviews collected during the respective month.

For example, if in January the average rating is 4 stars, this represents the average of evaluations collected only during the month of January, without considering the previous months.

 

📈 Evolution of the Average Rating per Month over the Last 12 Rolling Months

In contrast, the evolution of the average rating per month over the last 12 rolling months implies a more extended perspective. In this case, the average rating takes into account a cumulative period of 12 months, including the reviews collected during the previous months as well as the new reviews of the current month.

Let's revisit the previous example: if in January the average rating is 4 stars and in February it is 4.5 stars, this represents the average of evaluations collected not only in February but also in January and so on for the previous 12 months.

This method provides a more comprehensive view of customer satisfaction over an extended period, helping to identify long-term trends and assess performance stability.

 

☝️ In summary

Whether to analyze punctual monthly variations or evaluate a long-term trend, these complementary metrics are essential tools to ensure optimal customer satisfaction.

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