Tech Talk with Triton Digital: How to Make Programmatic Audio Rock Out

  • 219 views
Uploaded on

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

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

  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Be the first to comment
    Be the first to like this
No Downloads

Views

Total Views
219
On Slideshare
0
From Embeds
0
Number of Embeds
0

Actions

Shares
Downloads
11
Comments
0
Likes
0

Embeds 0

No embeds

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
    No notes for slide

Transcript

  • 1. 11 Digiday Programmatic Summit May, 2014
  • 2. Radio Advertising – Then • Blaring • Never Ending • Vaguely Targeted • Forgettable 2
  • 3. Triton “Lumascape” 3 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  4
  • 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 6
  • 7. Weekly Listening 7
  • 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 9
  • 10. Listen-Through Attribution 10 • 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 11