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Brave’s Capture of Usage Data

Darnell Andries edited this page Mar 2, 2026 · 26 revisions

Note: This document is a complement to the referral system described at Brave's Use of Referral Codes

Why does Brave capture usage data?

Usage data is used to guide business decisions, inform product development and support resource allocation.

What are usage requests?

A usage ping is a HTTP GET request, with data encoded in query parameters, used to count active users. The encoded request is sent to laptop-updates.brave.com either when the browser starts for the first time in a day, or after midnight if the browser is left open. It contains no personal data or personally identifying information.

The details of the query parameters in the request are defined in the next section of this document.

The request is routed to a CDN before it is forwarded to Brave for capture. The CDN performs the following:

  • Infers country code from IP address (countries with a small number of users < 1000 are excluded from this inference step).
  • Infers region code (https://en.wikipedia.org/wiki/ISO_3166-2) from IP address.
  • Removes IP address from data sent to Brave.

The CDN-modified request is sent to Brave for data capture. Brave performs the following:

  • The current date (year_month_day) is added to the request and the usage request is stored.

Once a day Brave aggregates the captured data, storing it for analysis and reporting.

What information is contained in a usage request?

The browser provides the following values in the query parameters of the request:

Field Description Values Example
platform Platform identifier winx64-bc, winia32-bc, winarm64-bc, linux-bc, osx-bc, osxarm64-bc, android-bc, ios winx64-bc
channel Channel identifier Nightly, dev, developer, beta, release release
version Version number x.x.x semver formatted string 1.2.3
daily Daily usage flag; reported as true if used today true or false true
weekly Weekly usage flag; reported as true if used for the first time this week true or false true
monthly Monthly usage flag; reported as true if used for the first time this month true or false false
first First day of installation flag true or false false
woi Week of installation; date of the first Monday before the installation date YYYY-MM-DD formatted date 2020-11-16
ref Referral code (now limited to a small set of 50 to 100 affiliated referrers if this Brave instance was downloaded via a referral link) ABC123 formatted string or the value none ABC123
dtoi Date of browser installation. Only reported in the 30 days after installation. YYYY-MM-DD formatted date 2020-11-18
adsEnabled Ads status flag true or false true
braveSearch Brave Search count for yesterday numeric value 15
googleSearch Google search count for yesterday numeric value 8
otherSearch Other search engine count for yesterday numeric value 3
staleSearch Total count for searches between 2 and 28 days ago numeric value 142

What aggregated data is built from the usage requests?

Metric Description Rule
DAU Daily active users Count of requests for a year_month_day
DNU Daily new users Count of requests for a year_month_day where daily is true
DRU Daily returning users Count of requests for a year_month_day where daily is false
WAU Weekly active users Count of requests for a year_month_day where weekly is true
WNU Weekly new users Count of requests for a year_month_day where weekly is true and first is true
WRU Weekly returning users Count of requests for a year_month_day where weekly is false
MAU Monthly active users Count of requests for a year_month_day where monthly is true
MNU Monthly new users Count of requests for a year_month_day where monthly is true and first is true
MRU Monthly returning users Count of requests for a year_month_day where monthly is true and first is false
Daily retention Percentage of installations that use the browser a specific number of days after installation (capped at 14 days) Count of requests for a year_month_day where dtoi is X, divided by the number of requests on X in which first is true
Weekly retention Percentage of installations that use the browser at least one time in a calendar week compared to the number installed on a target week Count of requests for year_month_day where woi is X, divided by the number of requests in the week starting on X in which first is true
Search DAU Daily search users Three sums of search requests (Brave, Google, other) for a year_month_day. This is used to better understand how Brave Search is utilized compared to other engines.

Privacy Considerations

The Brave usage counting system is specifically designed to not rely on personally identifying information. The server-side system builds usage counts over the course of a single calendar day by aggregating the usage requests sent.

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