Twitter Results Presentation Deck
Twitter | 2018 Annual Meeting of Stockholders
Metrics and
non-GAAP
information
We define monthly active users (MAUS) as Twitter users who logged in or were otherwise authenticated and
accessed Twitter through our website, mobile website, desktop or mobile applications, SMS or registered
third-party applications or websites in the 30-day period ending on the date of measurement. Average
MAUs for a period represent the average of the MAUS at the end of each month during the period. We
define daily active users or daily active usage (DAU) as Twitter users who logged in or were otherwise
authenticated and accessed Twitter through our website, mobile website or mobile applications on any
given day. Average DAU for a period represents the number of DAUs on each day of such period divided by
the number of days for such period. To calculate the year-over-year change in DAUS, we subtract the
average DAU for the three months ended in the previous year from the average DAU for the same three
months ended in the current year and divide the result by the average DAU in the previous year.
The numbers of active users presented in our annual meeting materials are based on internal company
data. While these numbers are based on what we believe to be reasonable estimates for the applicable
period of measurement, there are inherent challenges in measuring usage and user engagement across our
large user base around the world. Furthermore, our metrics may be impacted by our information quality
efforts, which are our overall efforts to reduce malicious activity on the service, inclusive of spam, malicious
automation, and fake accounts. For example, there are a number of false or spam accounts in existence on
our platform. We have performed an internal review of a sample of accounts and estimate that false or
spam accounts represented fewer than 5% of our MAUS as of December 31, 2017. In making this
determination, we applied significant judgment, so our estimation of false or spam accounts may not
accurately represent the actual number of such accounts, and the actual number of false or spam accounts
could be higher than we have estimated.View entire presentation