Quantitave data
In product analytics, quantitative data includes events, conversion rates, durations, revenue, active users, and survey scores. It is effective for showing what happened, how often, and for which segments. It does not automatically explain motivation or causality, so teams often combine it with qualitative research and controlled experiments.
What is Quantitative data?
Quantitative data is information expressed as numbers, counts, measurements, or categories that can be summarized and compared statistically.
Why it matters
In product analytics, quantitative data includes events, conversion rates, durations, revenue, active users, and survey scores. It is effective for showing what happened, how often, and for which segments. It does not automatically explain motivation or causality, so teams often combine it with qualitative research and controlled experiments.
Example
A funnel shows that 42% of new users complete setup and that completion is lower on one mobile version.