Twitter Q4 2015 Earnings Deck

30
Jan Dawson Chief Analyst (408) 744-6244 [email protected] @jandawson TWITTER Q4 2015 EARNINGS SLIDES

Transcript of Twitter Q4 2015 Earnings Deck

Page 1: Twitter Q4 2015 Earnings Deck

Jan Dawson Chief Analyst (408) 744-6244 [email protected] @jandawson

TWITTER Q4 2015 EARNINGS SLIDES

Page 2: Twitter Q4 2015 Earnings Deck

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• This deck is part of the Jackdaw Research Quarterly Company Decks subscription service, and is one of about a dozen similar decks produced each quarter on major consumer tech companies

• The intention is to highlight trends and patterns which are not always obvious when merely looking at a spreadsheet

• Accompanying analysis can often be found on our blog at www.beyonddevic.es

• This is the base tier of a three-tier offering, with higher-priced services offering access to the underlying data and custom presentations and analysis

• For more information, please visit:https://jackdawresearch.com/quarterly-company-decks/

INTRODUCTIONJACKDAW RESEARCH QUARTERLY DECKS SERVICE

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The charts in this deck are based on the company’s reported financial and operating metrics, together with other metrics derived from them by Jackdaw Research. While every effort has been made to ensure the accuracy of the data presented, and the absence of errors, we make no guarantee of accuracy and accept no liability for decisions made based on the information contained in this document. Readers should always consult the source documents if making financial or other decisions regarding the company concerned.

DISCLAIMER

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• In Q1 2015, Twitter discontinued two metrics it had previously reported: Timeline views per monthly active user, and ad revenue per timeline view.

• It also introduced three new metrics:

• SMS Fast Followers: another flavor of monthly active users – those who used SMS to sign up and still only over use SMS to use Twitter. This is mostly an emerging market phenomenon, but will be captured in MAU going forward

• Cost per engagement growth – similar to Google or Yahoo’s cost-per-click metrics, not an actual number, but a year on year and quarter on quarter growth number, intended to measure monetization

• Ad engagements growth – again, similar to number of ads metrics reported by Google and Yahoo, and again only growth, not actuals, intended to measure engagement with ads over time, rather than user engagement with content

NOTESTWITTER REPORTING CHANGES

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5 Source: Twitter reporting, Jackdaw Research analysis

REVENUES$ THOUSANDS

0

100,000

200,000

300,000

400,000

500,000

600,000

700,000

800,000

Q1 2011 Q3 2011 Q1 2012 Q3 2012 Q1 2013 Q3 2013 Q1 2014 Q3 2014 Q1 2015 Q3 2015

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6 Source: Twitter reporting, Jackdaw Research analysis

REVENUES BY SOURCE$ THOUSANDS

0

100,000

200,000

300,000

400,000

500,000

600,000

700,000

800,000

Q1 2011 Q3 2011 Q1 2012 Q3 2012 Q1 2013 Q3 2013 Q1 2014 Q3 2014 Q1 2015 Q3 2015

Advertising revenue Data licensing & Other

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7 Source: Twitter reporting, Jackdaw Research analysis

AD REVENUE$ THOUSANDS

0

100,000

200,000

300,000

400,000

500,000

600,000

700,000

Q1 2011 Q3 2011 Q1 2012 Q3 2012 Q1 2013 Q3 2013 Q1 2014 Q3 2014 Q1 2015 Q3 2015

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8 Source: Twitter reporting, Jackdaw Research analysis

REVENUES BY SOURCE% OF TOTAL REVENUES

0%

25%

50%

75%

100%

Q1 2011 Q3 2011 Q1 2012 Q3 2012 Q1 2013 Q3 2013 Q1 2014 Q3 2014 Q1 2015 Q3 2015

Advertising as % of revenue Data licensing as % of revenue

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9 Source: Twitter reporting, Jackdaw Research analysis

DATA LICENSING AND OTHERAS A % OF REVENUE

0%

10%

20%

30%

40%

Q1 2011 Q3 2011 Q1 2012 Q3 2012 Q1 2013 Q3 2013 Q1 2014 Q3 2014 Q1 2015 Q3 2015

Page 10: Twitter Q4 2015 Earnings Deck

10 Source: Twitter reporting, Jackdaw Research analysis

GEOGRAPHIC SPLITSINTERNATIONAL SHARE OF MAUS AND OF REVENUES

0%

20%

40%

60%

80%

Q1 2012 Q3 2012 Q1 2013 Q3 2013 Q1 2014 Q3 2014 Q1 2015 Q3 2015

75% 75% 76% 76% 76% 78% 77% 78% 78% 78% 78% 78% 78% 79% 79% 79%

22%27% 26% 27% 28%

33% 34% 34% 34%36% 35% 35%

International as % of revenues International as % of MAUs

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11 Source: Twitter reporting, Jackdaw Research analysis

MOBILE AD REVENUE% OF TOTAL AD REVENUE FROM MOBILE DEVICES

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

Q1 2013 Q2 2013 Q3 2013 Q4 2013 Q1 2014 Q2 2014 Q3 2014 Q4 2014 Q1 2015 Q2 2015 Q3 2015 Q4 2015

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12 Source: Twitter reporting, Jackdaw Research analysis

AD REVENUE BY DEVICEESTIMATED MOBILE VS. NON-MOBILE AD REVENUE, $ THOUSANDS

0

100,000

200,000

300,000

400,000

500,000

600,000

Q3 2013 Q4 2013 Q1 2014 Q2 2014 Q3 2014 Q4 2014 Q1 2015 Q2 2015 Q3 2015 Q4 2015

Implied mobile ad revenue Implied non-mobile ad revenue

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13 Source: Twitter reporting, Jackdaw Research analysis

MARGINS

-300%

-225%

-150%

-75%

0%

75%

Q1 2011 Q3 2011 Q1 2012 Q3 2012 Q1 2013 Q3 2013 Q1 2014 Q3 2014 Q1 2015 Q3 2015

Operating margin Net margin

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14 Source: Twitter reporting, Jackdaw Research analysis

COST COMPONENTSEXCLUDING STOCK-BASED COMPENSATION, AS A % OF REVENUE

0%

10%

20%

30%

40%

50%

60%

Q1 2012 Q3 2012 Q1 2013 Q3 2013 Q1 2014 Q3 2014 Q1 2015 Q3 2015

Cost of revenue R&D S&M G&A

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15 Source: Twitter reporting, Jackdaw Research analysis

OPERATING INCOME & MARGINADJUSTED FOR STOCK-BASED COMPENSATION

-60%

-40%

-20%

0%

20%

40%

60%

80%

-75,000

-50,000

-25,000

0

25,000

50,000

75,000

100,000

Q1 2011 Q3 2011 Q1 2012 Q3 2012 Q1 2013 Q3 2013 Q1 2014 Q3 2014 Q1 2015 Q3 2015

Operating income adj for SBC Operating margin adj for SBC

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16 Source: Twitter reporting, Jackdaw Research analysis

MONTHLY ACTIVE USERSINCLUDING “SMS FAST FOLLOWERS”, MILLIONS

0

50

100

150

200

250

300

350

Q1 2014 Q2 2014 Q3 2014 Q4 2014 Q1 2015 Q2 2015 Q3 2015 Q4 2015

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17 Source: Twitter reporting, Jackdaw Research analysis

MONTHLY ACTIVE USERSMONETIZABLE MAUS, EXCLUDING “SMS FAST FOLLOWERS”, MILLIONS

0

50

100

150

200

250

300

Q1 2010Q3 2010Q1 2011Q3 2011Q1 2012Q3 2012Q1 2013Q3 2013Q1 2014Q3 2014Q1 2015Q3 2015

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18 Source: Twitter reporting, Jackdaw Research analysis

MONTHLY ACTIVE USERSSPLIT BY TRADITIONAL MAUS AND SMS FAST FOLLOWERS

0

50

100

150

200

250

300

350

Q1 2014 Q2 2014 Q3 2014 Q4 2014 Q1 2015 Q2 2015 Q3 2015 Q4 2015

MAUs in millions SMS Fast Followers: Worldwide

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19 Source: Twitter reporting, Jackdaw Research analysis

MONTHLY ACTIVE USERSBY GEOGRAPHY

0

50,000

100,000

150,000

200,000

250,000

Q1 2012 Q3 2012 Q1 2013 Q3 2013 Q1 2014 Q3 2014 Q1 2015 Q3 2015

USInternational

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-5,000

0

5,000

10,000

15,000

20,000

25,000

Q2 2010 Q4 2010 Q2 2011 Q4 2011 Q2 2012 Q4 2012 Q2 2013 Q4 2013 Q2 2014 Q4 2014 Q2 2015 Q4 2015

20 Source: Twitter reporting, Jackdaw Research analysis

MONTHLY ACTIVE USERSSEQUENTIAL GROWTH (EXCLUDING SMS FAST FOLLOWERS), THOUSANDS

Adjustment for one-time loss due to change in third party integrations (iOS 8 impact)

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21 Source: Twitter reporting, Jackdaw Research analysis

MONTHLY ACTIVE USERSYEAR ON YEAR GROWTH

0

10,000

20,000

30,000

40,000

50,000

60,000

70,000

Q2 2011 Q4 2011 Q2 2012 Q4 2012 Q2 2013 Q4 2013 Q2 2014 Q4 2014 Q2 2015 Q4 2015

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-80%

-60%

-40%

-20%

0%

20%

40%

Q1 2013Q2 2013Q3 2013Q4 2013Q1 2014Q2 2014Q3 2014Q4 2014Q1 2015Q2 2015Q3 2015Q4 2015

22 Source: Twitter reporting, Jackdaw Research analysis

COST PER (AD) ENGAGEMENTYEAR ON YEAR GROWTH

“Average cost-per-engagement (CPE) fell 41% year over year, due primarily to the shift to auto-play video, which delivers more engagement at a much lower average CPE than click-to-play video ads. ” – Twitter earnings call, Q3 2015

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-50%

-40%

-30%

-20%

-10%

0%

10%

20%

30%

Q1 2013Q2 2013Q3 2013Q4 2013Q1 2014Q2 2014Q3 2014Q4 2014Q1 2015Q2 2015Q3 2015Q4 2015

23 Source: Twitter reporting, Jackdaw Research analysis

COST PER (AD) ENGAGEMENTQUARTER ON QUARTER GROWTH

“Average cost-per-engagement (CPE) fell 41% year over year, due primarily to the shift to auto-play video, which delivers more engagement at a much lower average CPE than click-to-play video ads. ” – Twitter earnings call, Q3 2015

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24 Source: Twitter reporting, Jackdaw Research analysis

AD ENGAGEMENTYEAR ON YEAR GROWTH

0%

100%

200%

300%

400%

500%

600%

700%

800%

Q1 2013Q2 2013Q3 2013Q4 2013Q1 2014Q2 2014Q3 2014Q4 2014Q1 2015Q2 2015Q3 2015Q4 2015

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25 Source: Twitter reporting, Jackdaw Research analysis

AD ENGAGEMENTQUARTER ON QUARTER GROWTH

-50%

-25%

0%

25%

50%

75%

100%

125%

150%

Q1 2013Q2 2013Q3 2013Q4 2013Q1 2014Q2 2014Q3 2014Q4 2014Q1 2015Q2 2015Q3 2015Q4 2015

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26 Source: Twitter reporting, Jackdaw Research analysis

AD REVENUE PER MAU, $TWITTER VS. FACEBOOK

0.00

0.50

1.00

1.50

2.00

2.50

3.00

3.50

4.00

Q1 2011 Q3 2011 Q1 2012 Q3 2012 Q1 2013 Q3 2013 Q1 2014 Q3 2014 Q1 2015 Q3 2015

Twitter ad revenue per MAU Facebook ad ARPU

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27 Source: Twitter reporting, Jackdaw Research analysis

REVENUE PER MAU, $BY GEOGRAPHY

0.00

1.00

2.00

3.00

4.00

5.00

6.00

7.00

8.00

Q1 2013 Q2 2013 Q3 2013 Q4 2013 Q1 2014 Q2 2014 Q3 2014 Q4 2014 Q1 2015 Q2 2015 Q3 2015 Q4 2015

Revenue per MAU: US Revenue per MAU: Intl

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28 Source: Twitter reporting, Jackdaw Research analysis

REVENUE PER MAU, US, $TWITTER VS. FACEBOOK

0

5

10

15

Q1 2013 Q2 2013 Q3 2013 Q4 2013 Q1 2014 Q2 2014 Q3 2014 Q4 2014 Q1 2015 Q2 2015 Q3 2015 Q4 2015

Twitter revenue per MAU: US Facebook ARPU: US & Canada

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29 Source: Twitter reporting, Jackdaw Research analysis

CAPITAL SPENDING$ THOUSANDS (LEFT AXIS), AND CAPITAL INTENSITY (CAPEX/REVENUES)

0%

5%

10%

15%

20%

25%

30%

0

20,000

40,000

60,000

80,000

100,000

120,000

Q1 2012 Q3 2012 Q1 2013 Q3 2013 Q1 2014 Q3 2014 Q1 2015 Q3 2015

Capex Capital intensity

Page 30: Twitter Q4 2015 Earnings Deck

Jan Dawson Chief Analyst (408) 744-6244 [email protected] @jandawson

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