SlideShare a Scribd company logo
1
October 2017
CONFIDENTIAL AND ATTORNEY-CLIENT PRIVILEGED
Power The Curious
Company Overview
June 2019
2
Legal Disclaimer
This presentation contains forward-looking statements. All statements other than statements of historical fact contained in this presentation, including statements as to future results of
operations and financial position, planned products and services, business strategy and plans, objectives of management for future operations of SVMK Inc. and its subsidiaries
(“SurveyMonkey” or the “Company”), market size and growth opportunities, competitive position and technological and market trends, are forward-looking statements. In some cases, you
can identify forward-looking statements by terms such as “expect,” “plan,” “anticipate,” “intend,” “target,” “project,” “predicts,” “potential,” “explore” or “continues” or the negative of these
terms or other similar words. SurveyMonkey has based these forward-looking statements largely on its current expectations and assumptions and on information available as of the date of
this presentation. The Company assumes no obligation to update any forward-looking statements after the date of this presentation, except as required by law.
The forward-looking statements contained in this presentation are subject to known and unknown risks, uncertainties, assumptions and other factors that may cause actual results or
outcomes to be materially different from any future results or outcomes expressed or implied by the forward-looking statements. These risks, uncertainties, assumptions and other factors
are described in greater detail under the heading “Risk Factors” in the Company’s quarterly report on Form 10-Q for the quarter ended March 31, 2019 filed with the Securities and
Exchange Commission on May 8, 2019 (which is available for free by visiting EDGAR on the SEC website at www.sec.gov) and include, but are not limited to, those related to the
Company’s business and financial performance, ability to attract and retain users, ability to develop new products and services and enhance existing products and services, ability to
execute on the Company’s business strategy, ability to compete effectively and ability to manage growth. Moreover, SurveyMonkey operates in a competitive and rapidly changing
environment, and new risks may emerge from time to time. It is not possible for the Company to predict all risks, nor can SurveyMonkey assess the impact of all factors on its business or
the extent to which any factor, or combination of factors, may cause actual results or outcomes to differ materially from those contained in any forward-looking statements the Company
may make.
In addition to the U.S. generally accepted accounting principles (“GAAP”) financials, this presentation includes certain non-GAAP financial measures, including core revenue, average
revenue per paying user (“ARPU”), and unlevered free cash flow. Non-GAAP financial measures have limitations as analytical tools and you should not consider them in isolation or as a
substitute for or superior to the most directly comparable financial measures prepared in accordance with U.S. GAAP. There are a number of limitations related to the use of non-GAAP
financial measures versus their nearest GAAP equivalents. First, core revenue and unlevered free cash flow are not substitutes for revenue and net cash provided by operating activities,
the most directly comparable GAAP financial measures. Additionally, ARPU is calculated based on core revenue, which is not a substitute for revenue, its most directly comparable GAAP
financial measure. Second, other companies, including companies in SurveyMonkey’s industry, may calculate non-GAAP financial measures differently or may use other measures to
evaluate their performance, all of which could reduce the usefulness of the Company’s non-GAAP financial measures as tools for comparison. SurveyMonkey urges you to review the
reconciliation of SurveyMonkey’s non-GAAP financial measures to the most directly comparable GAAP financial measure, and not to rely on any single financial measure to evaluate
SurveyMonkey’s business. A reconciliation of these measures to the most directly comparable GAAP measures is included at the end of this presentation.
This presentation also contains estimates and other statistical data made by independent parties and by the Company relating to market size and growth and other industry data. This data
involves a number of assumptions and limitations, and you are cautioned not to give undue weight to such estimates. The Company has not independently verified the statistical and other
industry data generated by independent parties and contained in this presentation and, accordingly, it cannot guarantee their accuracy or completeness. In addition, projections,
assumptions and estimates of its future performance and the future performance of the markets in which it competes are necessarily subject to a high degree of uncertainty and risk due to
a variety of factors. These and other factors could cause results or outcomes to differ materially from those expressed in the estimates made by the independent parties and by
SurveyMonkey.
3
Our mission
We help curious organizations and
individuals transform feedback into
business intelligence that drives growth
and innovation
3
4
Why SurveyMonkey
Enterprise
Grade
Solution
Massive
Footprint
Brand
Awareness
Powerful
Business
Model
Data Fuels AI
and Machine
Learning
Culture
Matters
5
Cumulative Questions
Answered
$68.6M
Q1’19 Revenue
17M+
2M+
Active Users
Daily Survey
Respondents
350K+
Organizational Domains
50B+
SurveyMonkey by the numbers
Note: All amounts as of March 31, 2019, except as noted.
671K
Paying Users
78% on annual plans
17% YoY growth
6
People Powered Data
Allows organizations
to understand WHY
constituents do what
they do and
anticipate their
actions
Big Data
Allows organizations to
measure WHAT
constituents do
Agile market research
Importance of employee
expectations
Increased customer
expectations
Trends
The nature of engagement between organizations and key
constituents is changing
7
Data insights are critical for a large percentage of the
working population
$6BCustomer Experience
Management
$7BGlobal Talent
Management
Software
$45BMarket Research
~$26B
61M
x $423
PEOPLE POWERED DATA
PLATFORM & SOLUTIONS
ARPU1
U.S. KNOWLEDGE WORKERS
U.S
INTERNATIONAL
Bottom-upTop-down
Represents ~50% of
total global software
market in 2018
Source: MarketsandMarkets estimates that approximately $6 billion was spent on customer experience management worldwide in 2017 (MarketsandMarkets, Customer Experience Management Market by Touch Point, Vertical, and Region – Global Forecast to 2022, November 2017); Technavio
estimates the global talent management software spend in 2018 at approximately $7 billion (Technavio, Global Talent Management Software Market 2018-2022, June 2018); Based on ESOMAR’s Global Market Research 2017 report, the market research industry in 2016 was $45 billion
(ESOMAR, Global Market Research 2017: An ESOMAR Industry Report in cooperation with BDO Accountants & Advisors, 2017); We estimate the U.S. market opportunity for our People Powered Data platform to be approximately $26 billion, and our worldwide opportunity to be significantly
larger. We calculate our U.S. market opportunity by multiplying the total number of U.S. knowledge workers, defined as management, professional and related occupations according to the U.S. Bureau of Labor Statistics, by our annual average revenue per paying user. For the year ended
December 31, 2018, 36% of our revenue was from customers outside of the United States. Further, Gartner estimates, in Gartner Market Databook, 2Q18 Update, 20 July 2018 (Gartner, Inc., Gartner Market Databook, 2Q18 Update: Spending on IT by Technology Segment and Country, 2016-
2022, 20 July 2018), that the United States will represent approximately 50% of total global software spend in 2018 (calculations performed by SurveyMonkey). Based on this, we believe that our aggregate global opportunity is significantly larger than our U.S. market opportunity.
(1) Annualized ARPU for the three months ended March 31, 2019.
88
Actionable insights driven from people’s voices, ideas, and opinions
Measure Benchmark Act
We deliver
People Powered Data
8
9
SurveyMonkey powers engagement with
three key constituents
Meeting feedback
Product feedback
Onboarding
forms
Lost customer analysis
Event planning
Patient satisfaction
Diversity and inclusion
tracking
Compliance
tracking
Brand tracking
Concept testing
Market trends
Customer testimonials Ad effectiveness
Learning
assessments
Pricing analysis
Lead forms
Analyst research
Market sizing
MARKETCUSTOMER EMPLOYEE
CSAT and NPS Employee engagement
360 Reviews
10
Easy to use, powerful, scalable
Surveys: the easiest way to
collect People Powered Data
Get real-time feedback
from around the world
Enabling teams to collaborate
1111
Individual signs
up and creates
a survey
Sends survey to
respondents. Invites
others to collaborate
and share results
Higher share of wallet and retention
Upsell
Organizations to
Enterprises and Monetize
Active Users
Expand Usage and
Retention
Cross-sell Solutions
~4x initial increase in
ARR1
6 use-case solutions
to increase ARPU
Create Reach Accelerate
Land and expand: Our business is fueled by virality
Low-touch self-serve Sales-assisted
Respondents and
collaborators sign up
and create more
surveys
Expand
11
(1) Since the beginning of 2017, the annualized revenue from new sales of our SurveyMonkey Enterprise plan has represented an approximately 4x increase
over the total annualized revenue from the individual paid subscriptions from those organizational domains over the prior 12 month period
12
INTEGRATIONS
CUSTOMERS EMPLOYEES MARKET APPLICANTS
PURPOSE-BUILT SOLUTIONS
SURVEY AUTHORING PRO QUESTION TYPES ADVANCED LOGIC SURVEY EXPERIENCE KIOSK / MOBILE SDK
ADVANCED
ANALYTICS
MOBILE APPS
SURVEY TEMPLATES QUESTION BANK SURVEY COLLECTORS
CONTACT
MANAGEMENT
OFFLINE SURVEYS TEAMS PANEL
SURVEY PLATFORM
API
ENTERPRISE
HIPAA / GDPR
SECURITY &
ENCRYPTION
ADMINISTRATION COLLABORATION WORKGROUPS CUSTOM BRANDING CUSTOM LIBRARY
GENIUS
PREVIEW & SCORE
QUESTION
PREDICTION
RECOMMENDATIONS ANSWER PREDICTION SENTIMENT SCORING TEXT ANALYSIS BENCHMARKS
We have a portfolio of People Powered Data offerings
13
Marketing
and Sales
Productivity and
Collaboration
Social and
Communications
Security and
Workflow
Analytics
~17K Apps Created with our APIs
Our technology integrates into the
customer’s systems of record
14
Data is a competitive moat
Operational
leverage Insights
Surveys Data
SurveyMonkey
Genius
Machine learning powered
assistance helps customers
get to better insights faster
Customer 360
Leveraging Our Data to Drive
Customer Success and
Increase Revenue
Predictions, Recommendations,
Benchmarks
2M+ survey respondents
per day
50B+ cumulative
questions answered
190 countries and territories
16 languages
15
SurveyMonkey has established strong brand awareness
Our brand is enhanced via news partnerships…
…providing critical insights on salient and timely issues
16
We are committed to three primary growth strategies
Selling directly to the
enterprise
Accelerating growth in
self-serve via Teams
Expanding in key
international markets
1 2 3
• Embrace and leverage our massive user base
to move up-market and establish enterprise-
level relationships
• 16% of revenue from enterprise sales channel1
and 3.9K enterprise sales customers2
Notes:
(1) Revenue for the quarter-ended March 31, 2019.
(2) As of March 31, 2019.
• Designed for small groups of users to
collaborate and collect feedback in a secure
environment and ensure one user per account
• Teams plans purchased in over 90 countries,
154 of Fortune 500 companies, and 46 of
Fortune 100 companies2
• Targeted investments in key Western European
markets via marketing, cloud datacenter, and
enterprise sales team
• 35% of revenue from outside the US1
17
17% 90%+ 4x 17% 100%+
Healthy
Growth
Q1’19
Revenue growth
Highly Visible
Business Model
Land and
Expand
Initial increase in
annualized revenue
from enterprise upsell1
Attractive
Margins
LTM
Unlevered free
cash flow margin2
Strong
Retention
Dollar-based net
retention for
organizations3
Note: All amounts for Q1’19 except as noted.
(1) Since the beginning of 2017, the annualized revenue from the initial new sale of our SurveyMonkey Enterprise plan has represented an approximately 4x increase over the total annualized revenue from the individual paid subscriptions from those
organizational domains over the prior 12 month period.
(2) Unlevered free cash flow margin for the 12 months ended March 31, 2019; Unlevered free cash flow calculated as net cash provided by operating activities less purchases of property and equipment (net) and capitalized internal-use software, plus interest
paid on long-term debt, and adjustments for certain non-recurring items; see appendix for reconciliation to the corresponding GAAP amount.
(3) We calculate organizational dollar-based net retention rate as of the end of a period by starting with the annualized revenue from the cohort of all domain-based customers as of the 12 months prior to the end of such period, or the Prior Period Annualized
Organizational Revenue. We then calculate the annualized revenue from these same customers as of the end of the current period, or the Current Period Annualized Organizational Revenue. We then divide Current Period Annualized Organizational
Revenue by Prior Period Annualized Organizational Revenue to calculate our organizational dollar-based net retention rate.
Subscription
revenue
Financial highlights
18
We are driving healthy revenue growth…
2.3%
YoY
3.0%
YoY
3.5%
YoY3.0%
YoY
3.5%
YoY
610 616 621
647
671
Q1'18 Q2'18 Q3'18 Q4'18 Q1'19
Paying Users (K)
2%
YoY
Growth
3% 3% 7% 10%
$390
$410
$418
$425 $423
Q1'18 Q2'18 Q3'18 Q4'18 Q1'19
Average Revenue Per User2
12%
YoY
Growth
18% 15% 13% 8%
2,838 2,990
3,226
3,566
3,909
Q1'18 Q2'18 Q3'18 Q4'18 Q1'19
Enterprise Sales Customers
38%
Notes:
(1) YoY growth for Q1’18-Q3’18 reflects Core revenue growth.
(2) We define Average Revenue per User (ARPU) as core revenue divided by the average number of paying users during the period. For interim periods, we use annualized core revenue which is calculated by dividing the core revenue for the period by the number of days in that period
and multiplying this value by 365 days. We calculate the average number of paying users by adding the number of paying users as of the end of the prior period to the number of paying users as of the end of the current period, and then dividing by two.
75%
Annual
78%
Annual
29%
YoY
Growth
$58.5
$62.7
$65.2
$67.9 $68.6
Q1'18 Q2'18 Q3'18 Q4'18 Q1'19
Revenue1 ($M)
17%
YoY
Growth
21% 19% 19% 17%
19
…with robust cash flow
Note: Unlevered free cash flow calculated as net cash provided by operating activities less purchases of property and
equipment (net) and capitalized internal-use software, plus interest paid on long-term debt, and adjustments for certain items;
see appendix for reconciliation to the corresponding GAAP amount.
$5.8
$7.8
$49.0
$47.4
$7.4 $7.5
$41.4
$46.0
Q1'18 Q1'19 LTM'18 LTM'19
Cash Flow ($M)
Operating cash flow Unlevered free cash flow
18%
10%
Margin
13% 11% 11%
22%
Margin
18% 18% 17%
20
Appendix
21
Explanation of Non-GAAP Measures
In this presentation, in addition to GAAP financial results, SVMK has included core revenue and unlevered free cash flow which are non-GAAP financial measures. Our definition for
these non-GAAP measures is provided below, however a limitation of non-GAAP financial measures is that they do not have uniform definitions. Accordingly, our definitions for these
non-GAAP measures used will likely differ from similarly titled non-GAAP measures used by other companies, thereby limiting their usefulness as tools of comparison.
We use these non-GAAP measures to compare and evaluate our operating results across periods in order to manage our business, for purposes of determining executive and senior
management incentive compensation, and for budgeting and developing our strategic operating plans. We believe that these non-GAAP measures provide useful information about
our operating results, enhance the overall understanding of our past financial performance and future prospects, and allow for greater transparency with respect to key metrics used
by our management in evaluating our financial performance and for operational decision making, but they are not meant to be considered in isolation or as a substitute for
comparable GAAP measures and should be read only in conjunction with our consolidated financial statements prepared in accordance with GAAP.
Core revenue: We define core revenue as revenue from our survey platform, form-based application and purpose-built solutions, excluding the non-self-serve portion of
SurveyMonkey Audience, which we generally ceased offering at the end of the second quarter of 2017. We consider core revenue to be an important measure because it excludes
revenue from an offering that we generally no longer provide, and so provides a better understanding of our current business and provides comparability of our results of operations
over time. Core revenue has limitations as an analytical tool, and it should not be considered in isolation or as a substitute for analysis of other GAAP financial measures, such as
revenue. Some of the limitations of core revenue are that it does not reflect all of our revenue in the periods presented and that our results of operations for the periods presented
reflect expenses that we incurred to generate revenue that is excluded from core revenue.
Unlevered free cash flow: Unlevered free cash flow is a liquidity measure used by management in evaluating the cash generated by our operations after purchases of property and
equipment and capitalized internal-use software but prior to the impact of our capital structure, the timing of cash payments for certain acquisition and debt related transactions and
employer payroll taxes on Performance RSUs. The usefulness of unlevered free cash flow as an analytical tool is limited because it excludes certain items which are settled in cash,
does not represent residual cash flow available for discretionary expenses, does not reflect our future contractual commitments, and is calculated differently by other companies in
our industry. Accordingly, it should not be considered in isolation or as a substitute for analysis of other GAAP financial measures, such as net cash provided by operating activities.
22
Three Months Ended March 31, TTM Ended March 31,
($000s) 2019 2018 2019 2018
Revenue 68,641$ 58,491$ 264,474$ 224,329$
Net cash provided by operating activities 7,803$ 5,763$ 47,412$ 49,004$
Purchases of property and equipment, net (581) (880) (9,682) (17,780)
Capitalized internal-use software (3,150) (2,640) (12,562) (13,865)
Interest paid for term debt 3,423 5,126 18,763 19,763
Third-party financing fees related to credit facility refinancing - - 879 4,314
Employer payroll taxes on RSUs vesting upon IPO - - 1,183 -
Unlevered free cash flow 7,495$ 7,369$ 45,993$ 41,436$
Non-GAAP reconciliation
Notes:
(1) Includes approximately $0.9 million in transaction costs incurred in Q1’19 in connection with our acquisition of Usabilla which closed on April 1, 2019.
(2) Includes reimbursement of tenant improvement allowances under our lease financing obligation of $3.1 million for the twelve months ended March 31, 2018.
(3) Employer payroll tax expense related to the achievement of the liquidity event-related performance condition in connection with our initial public offering for certain restricted stock units that met their service-based vesting condition
as of the end of Q3 2018.
(2)
(3)
(1)
(1)

More Related Content

What's hot

Inst investor deck nov 2017
Inst investor deck   nov 2017Inst investor deck   nov 2017
Inst investor deck nov 2017
Instructure
 
ADMS4510_Group Assignment_ Google & Earnings Mnagement_ (Case Report)
ADMS4510_Group Assignment_ Google & Earnings Mnagement_ (Case Report)ADMS4510_Group Assignment_ Google & Earnings Mnagement_ (Case Report)
ADMS4510_Group Assignment_ Google & Earnings Mnagement_ (Case Report)Maksud Ali
 
PwC 2016 CEO Survey Insurance report
PwC 2016 CEO Survey Insurance report PwC 2016 CEO Survey Insurance report
PwC 2016 CEO Survey Insurance report
PwC
 
Relevance As A Growth Driver
Relevance As A Growth DriverRelevance As A Growth Driver
Relevance As A Growth Driver
Hilary Ip
 
Broken links
Broken linksBroken links
5 KPIs that can boost your business intelligence program
5 KPIs that can boost your business intelligence program5 KPIs that can boost your business intelligence program
5 KPIs that can boost your business intelligence program
Grant Thornton LLP
 
How An AI-Powered Trade Promotion Optimization Software Can Improve Consumer ...
How An AI-Powered Trade Promotion Optimization Software Can Improve Consumer ...How An AI-Powered Trade Promotion Optimization Software Can Improve Consumer ...
How An AI-Powered Trade Promotion Optimization Software Can Improve Consumer ...
Gina Shaw
 
1plusX - NOAH19 Berlin
1plusX - NOAH19 Berlin1plusX - NOAH19 Berlin
1plusX - NOAH19 Berlin
NOAH Advisors
 
Forrester big data_predictive_analytics
Forrester big data_predictive_analyticsForrester big data_predictive_analytics
Forrester big data_predictive_analyticsShyam Sarkar
 
Turning big data into big revenue
Turning big data into big revenueTurning big data into big revenue
Turning big data into big revenue
PwC
 
Csod investor deck q1 2018 final
Csod investor deck   q1 2018 final Csod investor deck   q1 2018 final
Csod investor deck q1 2018 final
ircornerstone
 
MSIT - Tips for effective forecasts
MSIT - Tips for effective forecastsMSIT - Tips for effective forecasts
MSIT - Tips for effective forecasts
Agus Tirtoredjo
 
What drives demand generation ROI?
What drives demand generation ROI?What drives demand generation ROI?
What drives demand generation ROI?
SurveyMonkey
 
Health Services Tax Conference Day Two
Health Services Tax Conference Day TwoHealth Services Tax Conference Day Two
Health Services Tax Conference Day Two
PwC
 
Competitive Intelligence Analysis Tools For Economic Developmemt
Competitive Intelligence Analysis Tools For Economic DevelopmemtCompetitive Intelligence Analysis Tools For Economic Developmemt
Competitive Intelligence Analysis Tools For Economic Developmemt
Intelegia Group
 
BRIDGEi2i Whitepaper - The Science of Customer Experience Management
BRIDGEi2i Whitepaper - The Science of Customer Experience ManagementBRIDGEi2i Whitepaper - The Science of Customer Experience Management
BRIDGEi2i Whitepaper - The Science of Customer Experience Management
BRIDGEi2i Analytics Solutions
 
Redesigning finance for digital age
Redesigning finance for digital ageRedesigning finance for digital age
Redesigning finance for digital age
PwC
 
Mogo+Q3+2015+Earnings+Presentation
Mogo+Q3+2015+Earnings+PresentationMogo+Q3+2015+Earnings+Presentation
Mogo+Q3+2015+Earnings+PresentationJennifer Cheong
 

What's hot (19)

Inst investor deck nov 2017
Inst investor deck   nov 2017Inst investor deck   nov 2017
Inst investor deck nov 2017
 
ADMS4510_Group Assignment_ Google & Earnings Mnagement_ (Case Report)
ADMS4510_Group Assignment_ Google & Earnings Mnagement_ (Case Report)ADMS4510_Group Assignment_ Google & Earnings Mnagement_ (Case Report)
ADMS4510_Group Assignment_ Google & Earnings Mnagement_ (Case Report)
 
PwC 2016 CEO Survey Insurance report
PwC 2016 CEO Survey Insurance report PwC 2016 CEO Survey Insurance report
PwC 2016 CEO Survey Insurance report
 
Relevance As A Growth Driver
Relevance As A Growth DriverRelevance As A Growth Driver
Relevance As A Growth Driver
 
Broken links
Broken linksBroken links
Broken links
 
5 KPIs that can boost your business intelligence program
5 KPIs that can boost your business intelligence program5 KPIs that can boost your business intelligence program
5 KPIs that can boost your business intelligence program
 
How An AI-Powered Trade Promotion Optimization Software Can Improve Consumer ...
How An AI-Powered Trade Promotion Optimization Software Can Improve Consumer ...How An AI-Powered Trade Promotion Optimization Software Can Improve Consumer ...
How An AI-Powered Trade Promotion Optimization Software Can Improve Consumer ...
 
1plusX - NOAH19 Berlin
1plusX - NOAH19 Berlin1plusX - NOAH19 Berlin
1plusX - NOAH19 Berlin
 
Forrester big data_predictive_analytics
Forrester big data_predictive_analyticsForrester big data_predictive_analytics
Forrester big data_predictive_analytics
 
Turning big data into big revenue
Turning big data into big revenueTurning big data into big revenue
Turning big data into big revenue
 
Csod investor deck q1 2018 final
Csod investor deck   q1 2018 final Csod investor deck   q1 2018 final
Csod investor deck q1 2018 final
 
MSIT - Tips for effective forecasts
MSIT - Tips for effective forecastsMSIT - Tips for effective forecasts
MSIT - Tips for effective forecasts
 
What drives demand generation ROI?
What drives demand generation ROI?What drives demand generation ROI?
What drives demand generation ROI?
 
Health Services Tax Conference Day Two
Health Services Tax Conference Day TwoHealth Services Tax Conference Day Two
Health Services Tax Conference Day Two
 
Competitive Intelligence Analysis Tools For Economic Developmemt
Competitive Intelligence Analysis Tools For Economic DevelopmemtCompetitive Intelligence Analysis Tools For Economic Developmemt
Competitive Intelligence Analysis Tools For Economic Developmemt
 
Risk mgmt-analysis-wp-326822
Risk mgmt-analysis-wp-326822Risk mgmt-analysis-wp-326822
Risk mgmt-analysis-wp-326822
 
BRIDGEi2i Whitepaper - The Science of Customer Experience Management
BRIDGEi2i Whitepaper - The Science of Customer Experience ManagementBRIDGEi2i Whitepaper - The Science of Customer Experience Management
BRIDGEi2i Whitepaper - The Science of Customer Experience Management
 
Redesigning finance for digital age
Redesigning finance for digital ageRedesigning finance for digital age
Redesigning finance for digital age
 
Mogo+Q3+2015+Earnings+Presentation
Mogo+Q3+2015+Earnings+PresentationMogo+Q3+2015+Earnings+Presentation
Mogo+Q3+2015+Earnings+Presentation
 

Similar to Svmk investor presentation june 2019 v_f

Svmk investor presentation march 2019 v_f
Svmk investor presentation march 2019 v_fSvmk investor presentation march 2019 v_f
Svmk investor presentation march 2019 v_f
EmilyGreenstein4
 
Inst investor deck 08.04.2017 no video
Inst investor deck 08.04.2017 no videoInst investor deck 08.04.2017 no video
Inst investor deck 08.04.2017 no video
Instructure
 
Final-Investor-Deck.pdf
Final-Investor-Deck.pdfFinal-Investor-Deck.pdf
Final-Investor-Deck.pdf
EMTEBR
 
Featured Presentation
Featured PresentationFeatured Presentation
Featured Presentation
ircornerstone
 
Featured Presentation
Featured PresentationFeatured Presentation
Featured Presentation
ircornerstone
 
Instructure investor deck - nov 2017
Instructure investor deck - nov 2017Instructure investor deck - nov 2017
Instructure investor deck - nov 2017
Instructure
 
INST investor deck may 08.2017
INST investor deck may 08.2017INST investor deck may 08.2017
INST investor deck may 08.2017
Instructure
 
Inst investor deck aug 2016
Inst investor deck   aug 2016Inst investor deck   aug 2016
Inst investor deck aug 2016
Instructure
 
2015 12 08 inst ir deck
2015 12 08 inst ir deck2015 12 08 inst ir deck
2015 12 08 inst ir deck
Instructure
 
Investor Presentation - July 2021v1
Investor Presentation - July 2021v1Investor Presentation - July 2021v1
Investor Presentation - July 2021v1
Tejal Engman
 
Investor Presentation - July 2021
Investor Presentation - July 2021Investor Presentation - July 2021
Investor Presentation - July 2021
Tejal Engman
 
INST investor deck 05.08.2017
INST investor deck 05.08.2017INST investor deck 05.08.2017
INST investor deck 05.08.2017
Instructure
 
Inst investor deck 2-13-17 (1)
Inst investor deck   2-13-17 (1)Inst investor deck   2-13-17 (1)
Inst investor deck 2-13-17 (1)
Instructure
 
Csod investor deck second quarter final
Csod investor deck second quarter finalCsod investor deck second quarter final
Csod investor deck second quarter final
ircornerstone
 
Investor Presentation Third Quarter 2022
Investor Presentation Third Quarter 2022Investor Presentation Third Quarter 2022
Investor Presentation Third Quarter 2022
Tejal81
 
Inst investor deck nov 2016pdf
Inst investor deck   nov 2016pdfInst investor deck   nov 2016pdf
Inst investor deck nov 2016pdf
Instructure
 
Instructure 3.3.16 v final pdf
Instructure 3.3.16 v final pdfInstructure 3.3.16 v final pdf
Instructure 3.3.16 v final pdf
Instructure
 
Q3 2023 Quarterly Investor Presentation - FINAL.pdf
Q3 2023 Quarterly Investor Presentation - FINAL.pdfQ3 2023 Quarterly Investor Presentation - FINAL.pdf
Q3 2023 Quarterly Investor Presentation - FINAL.pdf
ryantoth12
 
Q1'23 Quarterly Investor Presentation - FINAL.pdf
Q1'23 Quarterly Investor Presentation - FINAL.pdfQ1'23 Quarterly Investor Presentation - FINAL.pdf
Q1'23 Quarterly Investor Presentation - FINAL.pdf
Tejal81
 
DV Third Quarter 2022 Investor Presentation
DV Third Quarter 2022 Investor PresentationDV Third Quarter 2022 Investor Presentation
DV Third Quarter 2022 Investor Presentation
Tejal81
 

Similar to Svmk investor presentation june 2019 v_f (20)

Svmk investor presentation march 2019 v_f
Svmk investor presentation march 2019 v_fSvmk investor presentation march 2019 v_f
Svmk investor presentation march 2019 v_f
 
Inst investor deck 08.04.2017 no video
Inst investor deck 08.04.2017 no videoInst investor deck 08.04.2017 no video
Inst investor deck 08.04.2017 no video
 
Final-Investor-Deck.pdf
Final-Investor-Deck.pdfFinal-Investor-Deck.pdf
Final-Investor-Deck.pdf
 
Featured Presentation
Featured PresentationFeatured Presentation
Featured Presentation
 
Featured Presentation
Featured PresentationFeatured Presentation
Featured Presentation
 
Instructure investor deck - nov 2017
Instructure investor deck - nov 2017Instructure investor deck - nov 2017
Instructure investor deck - nov 2017
 
INST investor deck may 08.2017
INST investor deck may 08.2017INST investor deck may 08.2017
INST investor deck may 08.2017
 
Inst investor deck aug 2016
Inst investor deck   aug 2016Inst investor deck   aug 2016
Inst investor deck aug 2016
 
2015 12 08 inst ir deck
2015 12 08 inst ir deck2015 12 08 inst ir deck
2015 12 08 inst ir deck
 
Investor Presentation - July 2021v1
Investor Presentation - July 2021v1Investor Presentation - July 2021v1
Investor Presentation - July 2021v1
 
Investor Presentation - July 2021
Investor Presentation - July 2021Investor Presentation - July 2021
Investor Presentation - July 2021
 
INST investor deck 05.08.2017
INST investor deck 05.08.2017INST investor deck 05.08.2017
INST investor deck 05.08.2017
 
Inst investor deck 2-13-17 (1)
Inst investor deck   2-13-17 (1)Inst investor deck   2-13-17 (1)
Inst investor deck 2-13-17 (1)
 
Csod investor deck second quarter final
Csod investor deck second quarter finalCsod investor deck second quarter final
Csod investor deck second quarter final
 
Investor Presentation Third Quarter 2022
Investor Presentation Third Quarter 2022Investor Presentation Third Quarter 2022
Investor Presentation Third Quarter 2022
 
Inst investor deck nov 2016pdf
Inst investor deck   nov 2016pdfInst investor deck   nov 2016pdf
Inst investor deck nov 2016pdf
 
Instructure 3.3.16 v final pdf
Instructure 3.3.16 v final pdfInstructure 3.3.16 v final pdf
Instructure 3.3.16 v final pdf
 
Q3 2023 Quarterly Investor Presentation - FINAL.pdf
Q3 2023 Quarterly Investor Presentation - FINAL.pdfQ3 2023 Quarterly Investor Presentation - FINAL.pdf
Q3 2023 Quarterly Investor Presentation - FINAL.pdf
 
Q1'23 Quarterly Investor Presentation - FINAL.pdf
Q1'23 Quarterly Investor Presentation - FINAL.pdfQ1'23 Quarterly Investor Presentation - FINAL.pdf
Q1'23 Quarterly Investor Presentation - FINAL.pdf
 
DV Third Quarter 2022 Investor Presentation
DV Third Quarter 2022 Investor PresentationDV Third Quarter 2022 Investor Presentation
DV Third Quarter 2022 Investor Presentation
 

Recently uploaded

GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
Neo4j
 
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
DianaGray10
 
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
James Anderson
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
DanBrown980551
 
Large Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial ApplicationsLarge Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial Applications
Rohit Gautam
 
Secstrike : Reverse Engineering & Pwnable tools for CTF.pptx
Secstrike : Reverse Engineering & Pwnable tools for CTF.pptxSecstrike : Reverse Engineering & Pwnable tools for CTF.pptx
Secstrike : Reverse Engineering & Pwnable tools for CTF.pptx
nkrafacyberclub
 
Free Complete Python - A step towards Data Science
Free Complete Python - A step towards Data ScienceFree Complete Python - A step towards Data Science
Free Complete Python - A step towards Data Science
RinaMondal9
 
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdfUni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems S.M.S.A.
 
Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 daysPushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
Adtran
 
Monitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR EventsMonitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR Events
Ana-Maria Mihalceanu
 
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Neo4j
 
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
SOFTTECHHUB
 
A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...
sonjaschweigert1
 
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptxHow to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
danishmna97
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
名前 です男
 
UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5
DianaGray10
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
Kari Kakkonen
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
Uni Systems S.M.S.A.
 
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
Neo4j
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
Guy Korland
 

Recently uploaded (20)

GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
 
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
 
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
 
Large Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial ApplicationsLarge Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial Applications
 
Secstrike : Reverse Engineering & Pwnable tools for CTF.pptx
Secstrike : Reverse Engineering & Pwnable tools for CTF.pptxSecstrike : Reverse Engineering & Pwnable tools for CTF.pptx
Secstrike : Reverse Engineering & Pwnable tools for CTF.pptx
 
Free Complete Python - A step towards Data Science
Free Complete Python - A step towards Data ScienceFree Complete Python - A step towards Data Science
Free Complete Python - A step towards Data Science
 
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdfUni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdf
 
Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 daysPushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
 
Monitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR EventsMonitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR Events
 
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
 
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
 
A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...
 
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptxHow to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
 
UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
 
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
 

Svmk investor presentation june 2019 v_f

  • 1. 1 October 2017 CONFIDENTIAL AND ATTORNEY-CLIENT PRIVILEGED Power The Curious Company Overview June 2019
  • 2. 2 Legal Disclaimer This presentation contains forward-looking statements. All statements other than statements of historical fact contained in this presentation, including statements as to future results of operations and financial position, planned products and services, business strategy and plans, objectives of management for future operations of SVMK Inc. and its subsidiaries (“SurveyMonkey” or the “Company”), market size and growth opportunities, competitive position and technological and market trends, are forward-looking statements. In some cases, you can identify forward-looking statements by terms such as “expect,” “plan,” “anticipate,” “intend,” “target,” “project,” “predicts,” “potential,” “explore” or “continues” or the negative of these terms or other similar words. SurveyMonkey has based these forward-looking statements largely on its current expectations and assumptions and on information available as of the date of this presentation. The Company assumes no obligation to update any forward-looking statements after the date of this presentation, except as required by law. The forward-looking statements contained in this presentation are subject to known and unknown risks, uncertainties, assumptions and other factors that may cause actual results or outcomes to be materially different from any future results or outcomes expressed or implied by the forward-looking statements. These risks, uncertainties, assumptions and other factors are described in greater detail under the heading “Risk Factors” in the Company’s quarterly report on Form 10-Q for the quarter ended March 31, 2019 filed with the Securities and Exchange Commission on May 8, 2019 (which is available for free by visiting EDGAR on the SEC website at www.sec.gov) and include, but are not limited to, those related to the Company’s business and financial performance, ability to attract and retain users, ability to develop new products and services and enhance existing products and services, ability to execute on the Company’s business strategy, ability to compete effectively and ability to manage growth. Moreover, SurveyMonkey operates in a competitive and rapidly changing environment, and new risks may emerge from time to time. It is not possible for the Company to predict all risks, nor can SurveyMonkey assess the impact of all factors on its business or the extent to which any factor, or combination of factors, may cause actual results or outcomes to differ materially from those contained in any forward-looking statements the Company may make. In addition to the U.S. generally accepted accounting principles (“GAAP”) financials, this presentation includes certain non-GAAP financial measures, including core revenue, average revenue per paying user (“ARPU”), and unlevered free cash flow. Non-GAAP financial measures have limitations as analytical tools and you should not consider them in isolation or as a substitute for or superior to the most directly comparable financial measures prepared in accordance with U.S. GAAP. There are a number of limitations related to the use of non-GAAP financial measures versus their nearest GAAP equivalents. First, core revenue and unlevered free cash flow are not substitutes for revenue and net cash provided by operating activities, the most directly comparable GAAP financial measures. Additionally, ARPU is calculated based on core revenue, which is not a substitute for revenue, its most directly comparable GAAP financial measure. Second, other companies, including companies in SurveyMonkey’s industry, may calculate non-GAAP financial measures differently or may use other measures to evaluate their performance, all of which could reduce the usefulness of the Company’s non-GAAP financial measures as tools for comparison. SurveyMonkey urges you to review the reconciliation of SurveyMonkey’s non-GAAP financial measures to the most directly comparable GAAP financial measure, and not to rely on any single financial measure to evaluate SurveyMonkey’s business. A reconciliation of these measures to the most directly comparable GAAP measures is included at the end of this presentation. This presentation also contains estimates and other statistical data made by independent parties and by the Company relating to market size and growth and other industry data. This data involves a number of assumptions and limitations, and you are cautioned not to give undue weight to such estimates. The Company has not independently verified the statistical and other industry data generated by independent parties and contained in this presentation and, accordingly, it cannot guarantee their accuracy or completeness. In addition, projections, assumptions and estimates of its future performance and the future performance of the markets in which it competes are necessarily subject to a high degree of uncertainty and risk due to a variety of factors. These and other factors could cause results or outcomes to differ materially from those expressed in the estimates made by the independent parties and by SurveyMonkey.
  • 3. 3 Our mission We help curious organizations and individuals transform feedback into business intelligence that drives growth and innovation 3
  • 5. 5 Cumulative Questions Answered $68.6M Q1’19 Revenue 17M+ 2M+ Active Users Daily Survey Respondents 350K+ Organizational Domains 50B+ SurveyMonkey by the numbers Note: All amounts as of March 31, 2019, except as noted. 671K Paying Users 78% on annual plans 17% YoY growth
  • 6. 6 People Powered Data Allows organizations to understand WHY constituents do what they do and anticipate their actions Big Data Allows organizations to measure WHAT constituents do Agile market research Importance of employee expectations Increased customer expectations Trends The nature of engagement between organizations and key constituents is changing
  • 7. 7 Data insights are critical for a large percentage of the working population $6BCustomer Experience Management $7BGlobal Talent Management Software $45BMarket Research ~$26B 61M x $423 PEOPLE POWERED DATA PLATFORM & SOLUTIONS ARPU1 U.S. KNOWLEDGE WORKERS U.S INTERNATIONAL Bottom-upTop-down Represents ~50% of total global software market in 2018 Source: MarketsandMarkets estimates that approximately $6 billion was spent on customer experience management worldwide in 2017 (MarketsandMarkets, Customer Experience Management Market by Touch Point, Vertical, and Region – Global Forecast to 2022, November 2017); Technavio estimates the global talent management software spend in 2018 at approximately $7 billion (Technavio, Global Talent Management Software Market 2018-2022, June 2018); Based on ESOMAR’s Global Market Research 2017 report, the market research industry in 2016 was $45 billion (ESOMAR, Global Market Research 2017: An ESOMAR Industry Report in cooperation with BDO Accountants & Advisors, 2017); We estimate the U.S. market opportunity for our People Powered Data platform to be approximately $26 billion, and our worldwide opportunity to be significantly larger. We calculate our U.S. market opportunity by multiplying the total number of U.S. knowledge workers, defined as management, professional and related occupations according to the U.S. Bureau of Labor Statistics, by our annual average revenue per paying user. For the year ended December 31, 2018, 36% of our revenue was from customers outside of the United States. Further, Gartner estimates, in Gartner Market Databook, 2Q18 Update, 20 July 2018 (Gartner, Inc., Gartner Market Databook, 2Q18 Update: Spending on IT by Technology Segment and Country, 2016- 2022, 20 July 2018), that the United States will represent approximately 50% of total global software spend in 2018 (calculations performed by SurveyMonkey). Based on this, we believe that our aggregate global opportunity is significantly larger than our U.S. market opportunity. (1) Annualized ARPU for the three months ended March 31, 2019.
  • 8. 88 Actionable insights driven from people’s voices, ideas, and opinions Measure Benchmark Act We deliver People Powered Data 8
  • 9. 9 SurveyMonkey powers engagement with three key constituents Meeting feedback Product feedback Onboarding forms Lost customer analysis Event planning Patient satisfaction Diversity and inclusion tracking Compliance tracking Brand tracking Concept testing Market trends Customer testimonials Ad effectiveness Learning assessments Pricing analysis Lead forms Analyst research Market sizing MARKETCUSTOMER EMPLOYEE CSAT and NPS Employee engagement 360 Reviews
  • 10. 10 Easy to use, powerful, scalable Surveys: the easiest way to collect People Powered Data Get real-time feedback from around the world Enabling teams to collaborate
  • 11. 1111 Individual signs up and creates a survey Sends survey to respondents. Invites others to collaborate and share results Higher share of wallet and retention Upsell Organizations to Enterprises and Monetize Active Users Expand Usage and Retention Cross-sell Solutions ~4x initial increase in ARR1 6 use-case solutions to increase ARPU Create Reach Accelerate Land and expand: Our business is fueled by virality Low-touch self-serve Sales-assisted Respondents and collaborators sign up and create more surveys Expand 11 (1) Since the beginning of 2017, the annualized revenue from new sales of our SurveyMonkey Enterprise plan has represented an approximately 4x increase over the total annualized revenue from the individual paid subscriptions from those organizational domains over the prior 12 month period
  • 12. 12 INTEGRATIONS CUSTOMERS EMPLOYEES MARKET APPLICANTS PURPOSE-BUILT SOLUTIONS SURVEY AUTHORING PRO QUESTION TYPES ADVANCED LOGIC SURVEY EXPERIENCE KIOSK / MOBILE SDK ADVANCED ANALYTICS MOBILE APPS SURVEY TEMPLATES QUESTION BANK SURVEY COLLECTORS CONTACT MANAGEMENT OFFLINE SURVEYS TEAMS PANEL SURVEY PLATFORM API ENTERPRISE HIPAA / GDPR SECURITY & ENCRYPTION ADMINISTRATION COLLABORATION WORKGROUPS CUSTOM BRANDING CUSTOM LIBRARY GENIUS PREVIEW & SCORE QUESTION PREDICTION RECOMMENDATIONS ANSWER PREDICTION SENTIMENT SCORING TEXT ANALYSIS BENCHMARKS We have a portfolio of People Powered Data offerings
  • 13. 13 Marketing and Sales Productivity and Collaboration Social and Communications Security and Workflow Analytics ~17K Apps Created with our APIs Our technology integrates into the customer’s systems of record
  • 14. 14 Data is a competitive moat Operational leverage Insights Surveys Data SurveyMonkey Genius Machine learning powered assistance helps customers get to better insights faster Customer 360 Leveraging Our Data to Drive Customer Success and Increase Revenue Predictions, Recommendations, Benchmarks 2M+ survey respondents per day 50B+ cumulative questions answered 190 countries and territories 16 languages
  • 15. 15 SurveyMonkey has established strong brand awareness Our brand is enhanced via news partnerships… …providing critical insights on salient and timely issues
  • 16. 16 We are committed to three primary growth strategies Selling directly to the enterprise Accelerating growth in self-serve via Teams Expanding in key international markets 1 2 3 • Embrace and leverage our massive user base to move up-market and establish enterprise- level relationships • 16% of revenue from enterprise sales channel1 and 3.9K enterprise sales customers2 Notes: (1) Revenue for the quarter-ended March 31, 2019. (2) As of March 31, 2019. • Designed for small groups of users to collaborate and collect feedback in a secure environment and ensure one user per account • Teams plans purchased in over 90 countries, 154 of Fortune 500 companies, and 46 of Fortune 100 companies2 • Targeted investments in key Western European markets via marketing, cloud datacenter, and enterprise sales team • 35% of revenue from outside the US1
  • 17. 17 17% 90%+ 4x 17% 100%+ Healthy Growth Q1’19 Revenue growth Highly Visible Business Model Land and Expand Initial increase in annualized revenue from enterprise upsell1 Attractive Margins LTM Unlevered free cash flow margin2 Strong Retention Dollar-based net retention for organizations3 Note: All amounts for Q1’19 except as noted. (1) Since the beginning of 2017, the annualized revenue from the initial new sale of our SurveyMonkey Enterprise plan has represented an approximately 4x increase over the total annualized revenue from the individual paid subscriptions from those organizational domains over the prior 12 month period. (2) Unlevered free cash flow margin for the 12 months ended March 31, 2019; Unlevered free cash flow calculated as net cash provided by operating activities less purchases of property and equipment (net) and capitalized internal-use software, plus interest paid on long-term debt, and adjustments for certain non-recurring items; see appendix for reconciliation to the corresponding GAAP amount. (3) We calculate organizational dollar-based net retention rate as of the end of a period by starting with the annualized revenue from the cohort of all domain-based customers as of the 12 months prior to the end of such period, or the Prior Period Annualized Organizational Revenue. We then calculate the annualized revenue from these same customers as of the end of the current period, or the Current Period Annualized Organizational Revenue. We then divide Current Period Annualized Organizational Revenue by Prior Period Annualized Organizational Revenue to calculate our organizational dollar-based net retention rate. Subscription revenue Financial highlights
  • 18. 18 We are driving healthy revenue growth… 2.3% YoY 3.0% YoY 3.5% YoY3.0% YoY 3.5% YoY 610 616 621 647 671 Q1'18 Q2'18 Q3'18 Q4'18 Q1'19 Paying Users (K) 2% YoY Growth 3% 3% 7% 10% $390 $410 $418 $425 $423 Q1'18 Q2'18 Q3'18 Q4'18 Q1'19 Average Revenue Per User2 12% YoY Growth 18% 15% 13% 8% 2,838 2,990 3,226 3,566 3,909 Q1'18 Q2'18 Q3'18 Q4'18 Q1'19 Enterprise Sales Customers 38% Notes: (1) YoY growth for Q1’18-Q3’18 reflects Core revenue growth. (2) We define Average Revenue per User (ARPU) as core revenue divided by the average number of paying users during the period. For interim periods, we use annualized core revenue which is calculated by dividing the core revenue for the period by the number of days in that period and multiplying this value by 365 days. We calculate the average number of paying users by adding the number of paying users as of the end of the prior period to the number of paying users as of the end of the current period, and then dividing by two. 75% Annual 78% Annual 29% YoY Growth $58.5 $62.7 $65.2 $67.9 $68.6 Q1'18 Q2'18 Q3'18 Q4'18 Q1'19 Revenue1 ($M) 17% YoY Growth 21% 19% 19% 17%
  • 19. 19 …with robust cash flow Note: Unlevered free cash flow calculated as net cash provided by operating activities less purchases of property and equipment (net) and capitalized internal-use software, plus interest paid on long-term debt, and adjustments for certain items; see appendix for reconciliation to the corresponding GAAP amount. $5.8 $7.8 $49.0 $47.4 $7.4 $7.5 $41.4 $46.0 Q1'18 Q1'19 LTM'18 LTM'19 Cash Flow ($M) Operating cash flow Unlevered free cash flow 18% 10% Margin 13% 11% 11% 22% Margin 18% 18% 17%
  • 21. 21 Explanation of Non-GAAP Measures In this presentation, in addition to GAAP financial results, SVMK has included core revenue and unlevered free cash flow which are non-GAAP financial measures. Our definition for these non-GAAP measures is provided below, however a limitation of non-GAAP financial measures is that they do not have uniform definitions. Accordingly, our definitions for these non-GAAP measures used will likely differ from similarly titled non-GAAP measures used by other companies, thereby limiting their usefulness as tools of comparison. We use these non-GAAP measures to compare and evaluate our operating results across periods in order to manage our business, for purposes of determining executive and senior management incentive compensation, and for budgeting and developing our strategic operating plans. We believe that these non-GAAP measures provide useful information about our operating results, enhance the overall understanding of our past financial performance and future prospects, and allow for greater transparency with respect to key metrics used by our management in evaluating our financial performance and for operational decision making, but they are not meant to be considered in isolation or as a substitute for comparable GAAP measures and should be read only in conjunction with our consolidated financial statements prepared in accordance with GAAP. Core revenue: We define core revenue as revenue from our survey platform, form-based application and purpose-built solutions, excluding the non-self-serve portion of SurveyMonkey Audience, which we generally ceased offering at the end of the second quarter of 2017. We consider core revenue to be an important measure because it excludes revenue from an offering that we generally no longer provide, and so provides a better understanding of our current business and provides comparability of our results of operations over time. Core revenue has limitations as an analytical tool, and it should not be considered in isolation or as a substitute for analysis of other GAAP financial measures, such as revenue. Some of the limitations of core revenue are that it does not reflect all of our revenue in the periods presented and that our results of operations for the periods presented reflect expenses that we incurred to generate revenue that is excluded from core revenue. Unlevered free cash flow: Unlevered free cash flow is a liquidity measure used by management in evaluating the cash generated by our operations after purchases of property and equipment and capitalized internal-use software but prior to the impact of our capital structure, the timing of cash payments for certain acquisition and debt related transactions and employer payroll taxes on Performance RSUs. The usefulness of unlevered free cash flow as an analytical tool is limited because it excludes certain items which are settled in cash, does not represent residual cash flow available for discretionary expenses, does not reflect our future contractual commitments, and is calculated differently by other companies in our industry. Accordingly, it should not be considered in isolation or as a substitute for analysis of other GAAP financial measures, such as net cash provided by operating activities.
  • 22. 22 Three Months Ended March 31, TTM Ended March 31, ($000s) 2019 2018 2019 2018 Revenue 68,641$ 58,491$ 264,474$ 224,329$ Net cash provided by operating activities 7,803$ 5,763$ 47,412$ 49,004$ Purchases of property and equipment, net (581) (880) (9,682) (17,780) Capitalized internal-use software (3,150) (2,640) (12,562) (13,865) Interest paid for term debt 3,423 5,126 18,763 19,763 Third-party financing fees related to credit facility refinancing - - 879 4,314 Employer payroll taxes on RSUs vesting upon IPO - - 1,183 - Unlevered free cash flow 7,495$ 7,369$ 45,993$ 41,436$ Non-GAAP reconciliation Notes: (1) Includes approximately $0.9 million in transaction costs incurred in Q1’19 in connection with our acquisition of Usabilla which closed on April 1, 2019. (2) Includes reimbursement of tenant improvement allowances under our lease financing obligation of $3.1 million for the twelve months ended March 31, 2018. (3) Employer payroll tax expense related to the achievement of the liquidity event-related performance condition in connection with our initial public offering for certain restricted stock units that met their service-based vesting condition as of the end of Q3 2018. (2) (3) (1) (1)