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Digiday Programmatic Summit 
Site Level Data: 
Fraud, Brand Safety and Dating Websites 
Amy Good 
Nestle Purina Media Centers of Excellence 
@AGoodMktingJob 
November 18, 2014
Marketing’s understanding of Programmatic 
“I think it’s getting to a more dynamic way of buying media that 
allows us to be more targeted towards the households we really want, 
while also giving us flexibility.” 
“Sign me up for the lunch and learn… I could make some educated 
guesses, but in full transparency, it’s all new to me.”
Input for the Analysis 
 Site level data from three DSPs 
 Two month period 
 All Brands 
 Majority PBT or Custom Segments 
 Doesn’t account for duplication 
 Mine for the positive 
 This is a strategic exercise
Findings 
Majority of Impressions served on brand safe sites with no concerns of fraud
However 
17,250 Sites were served impressions 
4% of sites served 92% of impressions
Is this site Brand Safe?
Is this site Fraudulent?
Brand Loyal 
Consumers. 
Nestle blocked.
Heavily Served Site, but no CPG
Nestle blocked on work laptop. Served Local Ad on iPad.
Online 
Dating: 
A Case 
for PMP 
Deals
Key Takeaways 
Programmatic is a tactic, not a Strategy, however, it’s a powerful tactic that can 
influence strategic direction 
There’s a role for site level data, Transparency leads to understanding 
Private marketplace deals are an important part of successfully investing 
programmatically, but there will always be a need to learn from the open 
exchange

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The Brand View on Fraud and Brand Safety

  • 1. Digiday Programmatic Summit Site Level Data: Fraud, Brand Safety and Dating Websites Amy Good Nestle Purina Media Centers of Excellence @AGoodMktingJob November 18, 2014
  • 2.
  • 3. Marketing’s understanding of Programmatic “I think it’s getting to a more dynamic way of buying media that allows us to be more targeted towards the households we really want, while also giving us flexibility.” “Sign me up for the lunch and learn… I could make some educated guesses, but in full transparency, it’s all new to me.”
  • 4. Input for the Analysis  Site level data from three DSPs  Two month period  All Brands  Majority PBT or Custom Segments  Doesn’t account for duplication  Mine for the positive  This is a strategic exercise
  • 5. Findings Majority of Impressions served on brand safe sites with no concerns of fraud
  • 6. However 17,250 Sites were served impressions 4% of sites served 92% of impressions
  • 7. Is this site Brand Safe?
  • 8. Is this site Fraudulent?
  • 9. Brand Loyal Consumers. Nestle blocked.
  • 10. Heavily Served Site, but no CPG
  • 11. Nestle blocked on work laptop. Served Local Ad on iPad.
  • 12. Online Dating: A Case for PMP Deals
  • 13. Key Takeaways Programmatic is a tactic, not a Strategy, however, it’s a powerful tactic that can influence strategic direction There’s a role for site level data, Transparency leads to understanding Private marketplace deals are an important part of successfully investing programmatically, but there will always be a need to learn from the open exchange

Editor's Notes

  1. SHOW THIS SLIDE WHILE BEING INTRODUCED
  2. PLAY LAW & ORDER THEME SONG AFTER BEING INTRODUCED AND I AM WALKING ON TO THE STAGE My name is Detective Good, this is the DVU team at Purina. Data, Analytics, Investment, Measurement & Accountability. We’re ensuring brand safety and protecting our brand’s investment by inspecting it. Because we know, when you put a cop on the corner, crime goes down. A few speakers before me today covered brand safety and Fraud as well. It occurred to me that this subject is fraught with gloom and doom. Well, it is, but it isn’t. There will always be digital criminals, therefore I need to be smarter, pay closer attention and hold my agencies and publishers accountable, AS WELL AS my data and measurement vendors.
  3. BUILD SLIDE
  4. Like any good researcher I wanted to share with you my methodology for this analysis. Purina is currently testing the co-manage model direct with a DSP and we have a trading desk at our agency. So I looked at site level data from all three. Run over a recent two month period. Against all brands that invested programmatically, dog food, cat food, treats and litter. As a CPG Purina implements purchase based targets and other segments using data. Granted, this analysis does NOT accoint for duplication
  5. BUILD SLIDE Sample Portals News/Weather (local newspaper and TV) Gaming eCommerce Entertainment Pet
  6. BUILD SLIDE However 4% of our sites have served more than 10,000+ impressions during this time period, which makes up 92% of our impressions served. This means we could focus on these 675 sites to ensure optimization (viewability) I am not here to call out all unsafe or fraudulent sites
  7. BUILD SLIDE I found this video at the bottom of the fold, muted, running in a loop.
  8. Ok with the site but then served multiple ads below the fold that Nestle blocked
  9. Had to go to my iPad, Nestle blocked Zulily retargets me everywhere, cross devices and browsers I find a lot of interesting things about this site. Great and aweful targeting at the same time.
  10. And finally. Dating is big business. Consumers are spending massive amounts of time on these sites. Especially female cat owners. I’ve been observing, for some time now, that our brands are landing on these sites. Cat owners, open to love, time spent chemistry.com christianmingle.com datehookup.com eharmony.com lavalife.com loveandseek.com match.com meetme.com okcupid.com ourtime.com pof.com seniorpeoplemeet.com speeddate.com
  11. BUILD SLIDE Positive spin on site level data, brand safety and fraud Inform strategy, partnerships and consumer insights (creative and media) No fear in transparency