What does p50, p90, and p99 in analytics mean?

When viewing analytics in our platform, you may encounter metrics labeled as p50, p90, and p99. These values represent percentiles and provide insights into the distribution of data for various metrics such as response times and resolution times.

What do p50, p90, and p99 mean?

• p50 (50th percentile): Also known as the median, this represents the middle value in the data set. 50% of the data points fall below this value, and 50% fall above it.

• p90 (90th percentile): This value indicates that 90% of the data points fall below it, with only 10% above.

• p99 (99th percentile): This represents the value below which 99% of the data points fall, with only 1% above it.

Why We Use These Metrics

While p50 indicates the median performance, p90 and p99 highlight the worst-case scenarios or outliers in your data. Focusing on these higher percentiles can lead to significant improvements in the overall customer experience.