In this rapid-fire presentation, Triton Digital will discuss how programmatic for audio is the next big thing in automation.

1. 11
Digiday Programmatic Summit
May, 2014

2. Radio Advertising – Then
• Blaring
• Never Ending
• Vaguely Targeted
• Forgettable
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3. Triton “Lumascape”
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P
U
B
L
I
S
H
E
R
S
Ad
Exchange
Demand-Side
Platform
Data Platforms & Aggregators
Measurement & Analytics
M
A
R
K
E
T
E
R
S
WEBCAST METRICS
Trading
Desks
Agencies

4. Deep Level of Targeting
Radio Format/Genre 
Program Exclusions 
Devices & Channels 
Geo National & Regional 
MSA 
DMA 
City & Zip 
Longitude/Latitude 
Audience Demo & Gender 
Retargeting 
3rd Party Data 
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5. 5
Total Domestic Listening
Source: Triton Digital Webcast Metrics/ M-F 6a-7p/Average By Qtr
2013 Q’2 drop due mostly to Pandora Mobile limitations
Average Active Sessions (AAS) is the average number of streams of one minute or more active within a time period. AAS is calculated by “Total Listening Hours (TLH) divided by hours in the reported time period.” TLH is
defined as the total number of hours that the station/publisher has streamed during sessions with duration of at least one minute in total within the reported time period.
718,583
802,363
961,012
1,072,287
1,177,368 1,208,802
1,278,172
1,457,794
1,529,951
1,546,458
1,535,282
1,796,650
2,042,222
2,230,381
2,258,150
2,461,424
2,746,049 2,653,830 2,665,984
2,854,904
3,020,445
Q1'09 Q2'09 Q3'09 Q4'09 Q1'10 Q2'10 Q3'10 Q4'10 Q1'11 Q2'11 Q3'11 Q4'11 Q1'12 Q2'12 Q3'12 Q4'12 Q1'13 Q2'13 Q3'13 Q4'13 Q1'14
320%
Increase In Total Domestic Average Active
Sessions In The past 5 Years

6. Monthly Audience
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7. Weekly Listening
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8. 8
Total Domestic AAS: Mobile vs. Desktop
56.0% 59.1%
63.4% 62.5% 62.2% 62.9%
44.0% 40.9%
36.6% 37.5% 37.8% 37.1%
Oct'13 Nov'13 Dec'13 Jan'14 Feb'14 Mar'14
M-F 6a-8p
Mobile AAS Desktop AAS
Source: Triton Digital Webcast Metrics/ March 2014/AAS
Average Active Sessions (AAS) is the average number of streams of one minute or more active within a time period. AAS is calculated by “Total Listening Hours (TLH) divided by hours in the reported time period.” TLH is
defined as the total number of hours that the station/publisher has streamed during sessions with duration of at least one minute in total within the reported time period.
62.3% 65.5%
69.1% 68.3% 68.3% 69.6%
37.7% 34.5%
30.9% 31.7% 31.7% 30.4%
Oct'13 Nov'13 Dec'13 Jan'14 Feb'14 Mar'14
M-Sun 6a-12m
Mobile AAS Desktop AAS

9. In Car Listening
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10. Listen-Through Attribution
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• Advertisers can precisely measure attribution for their audio ads.
• Click-through attribution is not sufficient nor sophisticated enough for
brand advertisers today. Our a2x solution provides the advanced
attribution analytics necessary to meet today’s standards and accurately
give credit where it is due.
HOW IT WORKS
User Hears the Ad
But Doesnt Click
Device ID Registers
for Mobile Listeners
Cookie is Dropped
for Web Listeners
User Later
Converts/Buys
Advertiser Knows
What Ad Converted

11. Radio Advertising – Now
• Personal
• To the point
• Targeted
• Memorable
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