Investor Overview - March 2014

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Information about Investor Overview - March 2014
Investor Relations

Published on March 9, 2014

Author: investorsyume

Source: slideshare.net

Investor Overview March 2014 The Science Behind Influence

FORWARD-LOOKING STATEMENTS This presentation contains forward-looking statements. All statements other than statements of historical fact contained in this presentation are forward-looking statements. These statements are only current predictions and are subject to known and unknown risks, uncertainties, assumptions, and other factors that may cause our results or our industry’s actual results, levels of activity, performance or achievements to be materially different from those anticipated by the forward-looking statements. These forwardlooking statements are subject to a number of risks, including those described under the heading “Risk Factors” in our periodic reports filed with the U.S. Securities and Exchange Commission, including our Form 10-Q for the quarter ended September 30, 2013, and in our future filings and reports with the SEC, including our Annual Report on Form 10-K for the year ended December 31, 2013. . Moreover, new risks emerge periodically. It is not possible for us to predict all risks, nor can we assess the impact of all factors on our business or the extent to which any factor, or combination of factors, may cause actual results to differ materially from those contained in any forward-looking statements we may make. Actual results could differ materially and adversely from those anticipated or implied in the forward-looking statements. You should not rely upon forward-looking statements as predictions of future events. Except as required by law, we are under no duty to update or revise any of the forward-looking statements, whether as a results of new information, future events or otherwise, after the date of this presentation. In addition to the U.S. GAAP financials, this presentation includes certain non-GAAP financial measures. These non-GAAP financial measures are in addition to, and not a substitute for or superior to measures of financial performance prepared in accordance with U.S. GAAP. See Appendix for reconciliation between each non-GAAP measure and the most comparable GAAP measure. This presentation contains statistical data that we obtained from industry publications and reports generated by third parties. Although we believe that the publications and reports are reliable, we have not independently verified this statistical data. 1 ©2014 YuMe. All rights reserved.

Overview 2 ©2014 YuMe. All rights reserved.

Yesterday 3 3 ©2013 YuMe. All rights reserved. ©2014 YuMe. All rights reserved.

Today 4 ©2014 YuMe. All rights reserved.

One Screen at Primetime Multi-Screen Video All the Time And it’s Happened Before – Newspaper 5 ©2014 YuMe. All rights reserved. Web Yellow Pages & Local Advertising Search

Media Strategy Television Digital Video Reach & Frequency Data & Analytics + 6 ©2014 YuMe. All rights reserved.

BRAND ADVERTISERS REVENUE $ IN MILLIONS 580 $151.1 450 $116.7 288 $68.6 242 $51.9 33% CAGR 2010 2011 2012 1 Global Online Video Advertising Platforms Market, Frost & Sullivan, 2013. 7 ©2014 YuMe. All rights reserved. 42% CAGR 2013 2010 2011 2012 2013

Massive brand advertising market disruption Proprietary data sciences platform Platform drives outstanding brand results High growth with significant operating leverage 8 ©2014 YuMe. All rights reserved.

2 VIDEO ADVERTISING TV $ IN BILLIONS $15.1 $193B 1 $5.3 DIGITAL $100B1 1 Magna Global, estimated 2012 global TV & digital ad spend, June 2013 2 Global Online Video Advertising Platforms Market, Frost & Sullivan, 2013. 9 ©2014 YuMe. All rights reserved. 2012 2016

2 Billion Share of Time Spent1 80% TV Smartphones3 DIGITAL 70% 60% 332 Million 50% Tablets Shipped4 40% 30% 500 Million 20% Connected TVs5 10% 0% 1995 1 MagnaGlobal, 2012 2 Includes Internet & mobile devices 10 ©2014 YuMe. All rights reserved. 2003 3 Total by 2015, Strategy Analytics 2012 4 Shipped in 2015, IDC 2013 2012 5 Total by 2015, DisplaySearch, 2011

Content Screen Devices per person TV 1-5 Cable 5-500 Internet >10,000 2000 Data 11 ©2014 YuMe. All rights reserved. 2012 Technology

BRAND CHALLENGES Data Which screen should I target? 12 ©2014 YuMe. All rights reserved. On which placements should my ads run? How do I find people receptive to my message?

SOLUTION LEARN Placement EMBED DELIVER LEARN Audience 13 ©2014 YuMe. All rights reserved.

Software Web PLACEMENT Connected TV 200 Billion 1,500 Data Points Properties Tablet SURVEY Smartphone 14 ©2014 YuMe. All rights reserved.

PQI Algorithm Real-Time Inventory Grading BEST PLACEMENT DATA BETTER 257 Million Global Unique Viewers1 1 May 2013 15 ©2014 YuMe. All rights reserved. f (x, y, z) GOOD

Data Sciences Brand Segments Machine Learning Algorithm 16 ©2014 YuMe. All rights reserved.

AUDIENCE AMPLIFIER PQI Inventory Brand Segments 17 ©2014 YuMe. All rights reserved.

Reach More Efficient Brand Spend Television Spend 18 ©2014 YuMe. All rights reserved.

16% TV Budget Shift to YuMe Reaching Adults 35-54 15.9 Million YuMe Reach and Frequency Results Exclusive Online Reach 6M Total Reach Cross Platform Reach 19 ©2014 YuMe. All rights reserved. +23% Average Frequency 42.7 Million TV +14% +18%

Brand Awareness 1 72.5% 1 Overall CPG Brand Lift Purchase Intent 1 7x 71.2% Norm CONSUMER GOODS AUTOMOTIVE 1 Data from Nielsen Online Brand Effect (formerly Vizu Ad Catalyst) 20 ©2014 YuMe. All rights reserved. TELECOM & ELECTRONICS FINANCIAL ENTERTAINMENT

Expand share of wallet Grow customer base Expand global footprint Pursue strategic acquisitions 21 ©2014 YuMe. All rights reserved.

Ayyappan Sankaran Tim Laehy CEO and Co-Founder CTO and Co-Founder CFO Frank Barbieri Scot McLernon Corporate Development Sales Bryan Everett Michael Hudes Jayant Kadambi Business Development 22 ©2014 YuMe. All rights reserved. Emerging Markets Ed Haslam Marketing Paul Porrini General Counsel

Financial Overview 23 ©2014 YuMe. All rights reserved.

Large Attractive Market Strong Growth Operational Leverage R&D Advantage Proven Business Model 24 ©2014 YuMe. All rights reserved. Dramatic shift in TV viewing patterns Capturing the shift of ad dollars from TV to digital video More advertisers spending more over time 42% revenue CAGR (2010-13) Utilizing inventory quality scoring (PQI) Technology, data & scale provide enhanced results Strong & efficient R&D operations India-based technology development center Demonstrated growth and profitability Blending technology and media

ANNUAL REVENUE QUARTERLY REVENUE $ IN MILLIONS $ IN MILLIONS $54.0 $151.1 $45.5 $116.7 $34.3 $28.4 $25.2 $68.6 $26.0 $36.2 $26.6 $20.1 $51.9 $13.6 $15.0 $11.5 2010 25 2011 ©2014 YuMe. All rights reserved. 2012 2013 Q1'11 Q2'11 Q3'11 Q4'11 Q1'12 Q2'12 Q3'12 Q4'12 Q1'13 Q2'13 Q3'13 Q4'13

TOTAL ADVERTISERS REVENUE PER ADVERTISER $ IN 000s 580 $257 REVENUE FROM TOP 20 ADVERTISERS $ IN MILLIONS $255 $58.6 $61.9 449 $237 $37.2 $26.9 288 242 2010 26 $213 2011 2012 ©2014 YuMe. All rights reserved. 2013 2010 2011 2012 2013 2010 2011 2012 2013

ANNUAL GROSS PROFIT QUARTERLY GROSS MARGIN ANNUAL ADJUSTED EBITDA1 $ IN MILLIONS $ IN MILLIONS GROSS MARGIN 37.6% 46.0% ADJUSTED EBITDA MARGIN 3.1% -10.8% 46.9% 48.4% 47.5% $70.9 45.8% 44.6% (10.8%) 10.1% 10.1% 5.9% 48.1% 45.3% 45.6% $11.8 42.8% $9.0 $53.8 40.2% 34.3% $25.8 Q3'11 Q4'11 Q1'12 Q2'12 Q3'12 Q4'12 Q1'13 Q2'13 Q3'13 Q4'13 PQI Rollout 2011 2012 PQI Rollout 2013 1 See Appendix for a reconciliation of adjusted EBITA to net income (loss) 27 ©2014 YuMe. All rights reserved. ($7.4) 2011 Investment 2012 Proved Model 2013

FY 2011 FY 2012 FY 2013 Target Model 2 Gross Profit 38% 46% 47% 46%-48% Sales & Marketing 34% 27% 31% 17%-18% General & Administration 15% 11% 12% 9%-10% Research & Development 4% 2% 3% 5%-6% (11%) 10% 6% 18%-22% % of Revenue 1 Adjusted EBITDA 2 1 GAAP-based, except adjusted EBITDA 2 Target model assumes stock-based compensation and depreciation and amortization expense of 5%-6% of revenue 28 ©2014 YuMe. All rights reserved.

In Conclusion 29 ©2014 YuMe. All rights reserved.

Massive disrupted market Differentiated data sciences platform High growth with significant operating leverage 30 ©2014 YuMe. All rights reserved.

YUME/NYSE 31 ©2014 YuMe. All rights reserved.

APPENDIX 32 ©2014 YuMe. All rights reserved.

(in thousands) Net income (loss) 2010 2011 2012 2013 $ (366) $ (11,089) $ 6,266 $ 321 $ 54 $ 164 $ 117 $ 47 Income tax expense $ 111 $ (62) $ 612 $ 670 Depreciation & amortization expense $ 926 $ 2,097 $ 2,783 $ 4,103 Stock based comp expense $ 860 $ 1,468 $ 2,042 $ 3,834 Total Adjustments $ 1,951 $ 3,667 $ 5,554 $ 8,654 Adjusted EBITDA $ 1,585 $ (7,422) $ 11,820 $ 8,975 Plus Adjustments: Interest expense 33 ©2014 YuMe. All rights reserved.

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