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IAB Podcast Measurement Guidelines 2.0
Amit Shetty,
Sr. Director, Product
IAB Tech Lab
Todd Cochrane
CEO
RawVoice / Blubrry
Agenda
2
- Background
- Details
- What’s next?
- Adoption & Compliance program
- Future
- Questions
- http://bit.ly/podcastMeasurementV2
IAB Tech Lab
3
Who are we?
• Non-profit R&D consortium, focused on
advertising technology
3 Pillars
• Technical standards
• Dev tools & code
• Product certification
Podcast Measurement Guidelines 2.0
4
- Released in December 2017
- Podcast Technical Working Group
Why?
5
Market :
• Podcast ad revenue growth (Estimated $313M in 2017)*
=> Buyers want consistency
Technology:
• Client side (or client initiated) measurement is the norm in digital advertising
• But in Podcasting – no significant client access (until recently)
=> Server side, log analysis based metrics
*IAB/PwC Podcast Revenue Study - http://bit.ly/podcastRev
General principles
6
• Based on industry best practices
• Cover both ad and podcast content measurement
• Support for both programmatic/dynamic and embedded advertising
• Provides a set of metrics and a recommended process
• Flexible enough to allow companies to deviate from the process (transparently)
• Client side measurement is the longer term future
Challenges in Server-side measurement
7
- Based on analysis of server logs
- Cannot differentiate between a play vs a download
- Lack of Cookies or IFAs
- Myriad other complexities –
- HTTP Head requests, Partial requests, Not modified requests
- ID3 header size
- Behavioral differences across various players and versions of players
- player pre-load
- Play – pause – play
- Bad actors / Fraud
- Integrating with services that cache and stream
What do they contain?
8
4 Metrics defined :
1. Download
2. Listener
3. Ad Delivered
4. Client-confirmed Ad Play*
+ Group metrics by show & publisher
Recommended Process:
1. Apply filtering logic
2. Apply file threshold logic
3. Identify and aggregate uniques
4. Generate metrics
5. Audit the process (feedback loop)
Some of the key highlights
9
1. Filtering
• Pre load requests
• Bots & Bogus requests
• Safe IP Addresses
• HTTP request complexities
2. File threshold
• Minimum - ID3 header + 1 minute
3. Calculate Uniques
• 24 hour window
• IP + UA
• Black lists
4. Generate Metrics
5. Continual Self Audit
What’s next?
10
- Focus on adoption
- IAB Tech Lab Certification Program
- Technical audit of companies’ product
- Currently working with a few “launch” members
- Target launch in Fall 2018
- Potential next steps for the working group –
• Look into Client Side Measurement
• Look into IFA (Identifier For Advertising) for podcast clients
Questions?
11
Further Questions?
Amit @ iabtechlab.com

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Podcast movement 2018 - A look into the Podcast Measurement Guidelines

  • 1. IAB Podcast Measurement Guidelines 2.0 Amit Shetty, Sr. Director, Product IAB Tech Lab Todd Cochrane CEO RawVoice / Blubrry
  • 2. Agenda 2 - Background - Details - What’s next? - Adoption & Compliance program - Future - Questions - http://bit.ly/podcastMeasurementV2
  • 3. IAB Tech Lab 3 Who are we? • Non-profit R&D consortium, focused on advertising technology 3 Pillars • Technical standards • Dev tools & code • Product certification
  • 4. Podcast Measurement Guidelines 2.0 4 - Released in December 2017 - Podcast Technical Working Group
  • 5. Why? 5 Market : • Podcast ad revenue growth (Estimated $313M in 2017)* => Buyers want consistency Technology: • Client side (or client initiated) measurement is the norm in digital advertising • But in Podcasting – no significant client access (until recently) => Server side, log analysis based metrics *IAB/PwC Podcast Revenue Study - http://bit.ly/podcastRev
  • 6. General principles 6 • Based on industry best practices • Cover both ad and podcast content measurement • Support for both programmatic/dynamic and embedded advertising • Provides a set of metrics and a recommended process • Flexible enough to allow companies to deviate from the process (transparently) • Client side measurement is the longer term future
  • 7. Challenges in Server-side measurement 7 - Based on analysis of server logs - Cannot differentiate between a play vs a download - Lack of Cookies or IFAs - Myriad other complexities – - HTTP Head requests, Partial requests, Not modified requests - ID3 header size - Behavioral differences across various players and versions of players - player pre-load - Play – pause – play - Bad actors / Fraud - Integrating with services that cache and stream
  • 8. What do they contain? 8 4 Metrics defined : 1. Download 2. Listener 3. Ad Delivered 4. Client-confirmed Ad Play* + Group metrics by show & publisher Recommended Process: 1. Apply filtering logic 2. Apply file threshold logic 3. Identify and aggregate uniques 4. Generate metrics 5. Audit the process (feedback loop)
  • 9. Some of the key highlights 9 1. Filtering • Pre load requests • Bots & Bogus requests • Safe IP Addresses • HTTP request complexities 2. File threshold • Minimum - ID3 header + 1 minute 3. Calculate Uniques • 24 hour window • IP + UA • Black lists 4. Generate Metrics 5. Continual Self Audit
  • 10. What’s next? 10 - Focus on adoption - IAB Tech Lab Certification Program - Technical audit of companies’ product - Currently working with a few “launch” members - Target launch in Fall 2018 - Potential next steps for the working group – • Look into Client Side Measurement • Look into IFA (Identifier For Advertising) for podcast clients