Metric Table

Metric Name	Description
OS Distribution	% of clients with a given add-on by OS. Is an add-on more frequently used on specific OS’s?
Country Distribution	% of clients with a given add-on by country. Are certain countries more likely to install a given add-on?
Active Hours	Mean active hours by client, compared the the general population as a baseline. Are clients with a given add-on more or less active than the rest of the population?
Total URIs	Mean Total URI count by client (number of total page loads), comparing to the general population as a baseline. Do clients with a given add-on browse the web more or less than the general population?
Tabs Opened	Distribution of number of tabs opened (or an aggregate statistic), compared to the general population. Are users with a given add-on opening more/less tabs?
Bookmarks Opened	Number of bookmarks per client compared to the general population. Are users with a given add-on saving more pages?
Other add-ons	The top add-ons often seen in conjunction with a given add-on. Users with add-on x are likely to also install add-on y, z, …, etc.
Devtools Panels Count	Number of times a given devtools panel, i.e. the inspector, or devtools in some form was used, compared to the general population. Are user’s with a given add-on using specific devtools features more often than usual?
Tracking Protection Enabled	% of users with a given add-on that have enabled tracking protection. Are uses with a specific add-on more concerned about privacy/tracking?

Metric Name	Description
Number of installs (by source)	Daily installs per add-on from AMO and about:addons
Number of impressions	Daily visits to add-on specific AMO property for the top 10 locales
Average Rating	Average daily star rating of a given add-on
Total Reviews	Number of reviews for a given add-on, cumulative by date

Metric Name	Description
Background Page Load Time	The amount of time it takes for a WebExtension’s background page to load, compared to some baseline.
Browser Action Popup Load Time	The amount of time it takes for a WebExtension’s browser action to open, compared to some baseline.
Page Action Popup Load Time	The amount of time it takes for a WebExtension’s page action to open, compared to some baseline.
Content Script Injection Time	The amount of time it takes for content scripts from a WebExtension to be injected into a window, compared to some baseline.
Storage Local ‘get’ Time	The amount of time it takes to perform a “get” operation via local storage.
Storage Local ‘set’ Time	The amount of time it takes to perform a “set” operation via local storage.
Startup Time	The time it takes for a WebExtension to start up, compared to some baseline
Crashes	Mean number of crashes per hour for clients with a given add-on. Are users with a given add-on more likely to experience a crash?
Page Load Times	(pre-release only): Distribution of Page load times (or an aggregate statistic), compared to the general population. Are users with a given add-on having a slower/faster browsing experience?
Tab Switch Time	Distribution of tab switch times (or an aggregate statistic), compared to the general population. Are users with a given add-on having a slower/faster tab switching experience?

Metric Name	Description
DAU	Daily Active Users, the number of unqiue clients with a given add-on over a day to day period.
WAU	Weekly Active Users, the number of unique clients with a given add-on over a seven day period.
MAU	Monthly Active Users, the number of unique clients with a given add-on over a 28 day period. We already plan to expose this in the Public Data Report.
YAU	Yearly Active Users, the number of unique clients with a given add-on over a 365 day period. We already plan to expose this in the Public Data Report.