Agenda

Welcome

Krista Bessinger - VP, Investor Relations

Opening Remarks

Jack Dorsey - Chief Executive Officer

Healthy Participation: Consumer Product Priorities

Kayvon Beykpour - Product Lead
Dantley Davis - Head of Design and Research

Healthy Participation: Policy and Enforcement

Vijaya Gadde - Head of Legal, Policy and Trust

Q&A Session

15 minutes

BREAK

 

Increasing Revenue Durability

Matt Derella - Customer Lead
Bruce Falck - Revenue Product Lead

Improving Development Velocity

Parag Agrawal - Technology Lead
Peiter “Mudge” Zatko - Head of Security
Michael Montano - Engineering Lead

Q&A Session

15 minutes

BREAK

 

Our Brand

Leslie Berland - Chief Marketing Officer and Head of People

Diversifying our Teams and Driving Distributed Work

Jennifer Christie - People, Real Estate and Workplace Lead

Investing to Drive Growth

Ned Segal, Chief Financial Officer

Q&A Session

30 minutes

Forward-looking statements

During the course of this Analyst Day, the Company executive team will make forward-looking statements regarding, among other things, our products, strategies and goals, including the future financial, strategic, and operating performance of the Company, and the Company’s long-term goals and targets. The 2023 mDAU and revenue goals presented here are based on our current roadmap and are contingent upon many factors, including our own execution and various market conditions. These goals and any other forward-looking statements illustrate our current thinking and are subject to various risks and uncertainties. Over time, we may also modify our goals or pursue alternative objectives and strategies. These statements reflect management’s current expectations, estimates and assumptions based on the information currently available to us and actual results and events could differ materially due to a number of risks. We refer you to the documents that we file with the Securities and Exchange Commission, specifically our annual report on Form 10-K which was filed on February 17, 2021. That document contains important information about factors that could cause our results to differ materially from those contained in our projections or forward-looking statements.

Metrics

Twitter defines monetizable daily active usage or users (mDAU) as people, organizations, or other accounts who logged in or were otherwise authenticated and accessed Twitter on any given day through twitter.com or Twitter applications that are able to show ads. Average mDAU for a period represents the number of mDAU on each day of such period divided by the number of days for such period. Changes in mDAU are a measure of changes in the size of our daily logged in or otherwise authenticated active total accounts. To calculate the year-over-year change in mDAU, we subtract the average mDAU for the three months ended in the previous year from the average mDAU for the same three months ended in the current year and divide the result by the average mDAU for the three months ended in the previous year. Additionally, our calculation of mDAU is not based on any standardized industry methodology and is not necessarily calculated in the same manner or comparable to similarly titled measures presented by other companies. Similarly, our measures of mDAU growth and engagement may differ from estimates published by third parties or from similarly titled metrics of our competitors due to differences in methodology.

The numbers of mDAU presented in our Analyst Day 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 engagement across our large number of total accounts 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 mDAUs for the fourth quarter of 2020. The false or spam accounts for a period represents the average of false or spam accounts in the samples during each monthly analysis period during the quarter. 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

We are continually seeking to improve our ability to estimate the total number of spam accounts and eliminate them from the calculation of our mDAU, and have made improvements in our spam detection capabilities that have resulted in the suspension of a large number of spam, malicious automation, and fake accounts. We intend to continue to make such improvements. After we determine an account is spam, malicious automation, or fake, we stop counting it in our mDAU, or other related metrics. We also treat multiple accounts held by a single person or organization as multiple mDAU because we permit people and organizations to have more than one account. Additionally, some accounts used by organizations are used by many people within the organization. As such, the calculations of our mDAU may not accurately reflect the actual number of people or organizations using our platform.

In addition, geographic location data collected for purposes of reporting the geographic location of our mDAU is based on the IP address or phone number associated with the account when an account is initially registered on Twitter. The IP address or phone number may not always accurately reflect a person’s actual location at the time they engaged with our platform. For example, someone accessing Twitter from the location of the proxy server that the person connects to rather than from the person’s actual location.

We regularly review and may adjust our processes for calculating our internal metrics to improve their accuracy.

Non-GAAP financial measures

To supplement Twitter's financial information presented in accordance with generally accepted accounting principles in the United States of America, or GAAP, Twitter considers certain financial measures that are not prepared in accordance with GAAP, including adjusted free cash flow and Adjusted EBITDA margin. Adjusted free cash flow is GAAP net cash provided by operating activities less capital expenditures (i.e., purchases of property and equipment including equipment purchases that were financed through finance leases, less proceeds received from the disposition of property and equipment). Adjusted EBITDA margin is Adjusted EBITDA (net income (loss) adjusted to exclude stock-based compensation expense, depreciation and amortization expense, interest and other expense, net, provision (benefit) for income taxes, restructuring charges, and one-time nonrecurring gain, if any) divided by revenue.

Twitter is presenting these non-GAAP financial measures to assist investors in seeing Twitter's operating results through the eyes of management, and because it believes that these measures provide an additional tool for investors to use in comparing Twitter's core business operating results over multiple periods with other companies in its industry. Twitter believes that adjusted free cash flow provides useful information to management and investors about the amount of cash from operations and that it is typically a more conservative measure of cash flows. However, adjusted free cash flow does not necessarily represent funds available for discretionary use and is not necessarily a measure of its ability to fund its cash needs. Twitter believes that Adjusted EBITDA margin provides useful information about its operating results, enhances the overall understanding of Twitter's past performance and future prospects, and allows for greater transparency with respect to key metrics used by Twitter's management in its financial and operational decision-making.

These non-GAAP financial measures should not be considered in isolation from, or as a substitute for, financial information prepared in accordance with GAAP. These non-GAAP financial measures are not based on any standardized methodology prescribed by GAAP and is not necessarily comparable to similarly titled measures presented by other companies. We have not reconciled our long-term adjusted EBITDA margin target to a GAAP measure because we do not provide a long-term target on GAAP net income (loss) or the reconciling items between adjusted EBITDA and GAAP net income (loss), as a result of the uncertainty regarding, and the potential variability of, certain of these items. Accordingly, a reconciliation of the non-GAAP financial measure target to the corresponding GAAP measure is not available without unreasonable effort.