Data Glossary
How Freshpaint Analytics calculates each key metric.
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How Freshpaint Analytics calculates each key metric.
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The following list describes how we calculate each of the key metrics we display in our analytics feature. Metrics are always calculated only for the events that occurred during the currently selected time period. Metrics are always specific to the current Freshpaint environment.
We compute the bounce rate as the percentage of unique sessions that only visited in single page during the selected time period where the session duration was 10 seconds or less. Lower is better.
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We calculate the browser ($browser) associated with each page view belonging to a given session.
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We determine the channel the traffic originated from (eg. Paid Search, Organic Social, Email, etc.) by analyzing the initial referring domain ($initial_referring_domain) for each page view belonging to a given session.
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We infer the device type from the browser ($browser) associated with each page view belonging to a given session.
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We calculate the operating system ($os) associated with each page view belonging to a given session.
We calculate the referring domain ($initial_referring_domain) for each page view belonging to a given session.
We compute the session duration as the average amount of time each unique session lasted during the selected time period. Higher is better.
We compute the number of sessions as the number of unique Freshpaint session IDs ($session_id) seen in the queried events. Higher is better.
We count the occurrence of a given UTM parameter (eg. campaign, content, medium, source, term) by counting the number of times that parameter was set (for example, initial_utm_campaign) on the very first page view for a given session.
We compute the number of visitors as the number of unique Freshpaint device IDs ($device_id) seen in the queried events. Higher is better.
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We count the number of times each Freshpaint event has occurred. Events counted include both and events. Higher is generally better, though your precision events may require more nuanced interpretation.
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We compute the number of page views as the number of times a given page was viewed according to page view data. Higher is better.