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Video Ad Fraud

101

Dr. Augustine Fou
acfou [at] mktsci.com
http://linkd.in/augustinefou
February 2014

-1-

Augustine Fou
Why Now?
“As more ad inventory is bought and sold
programmatically on ad exchanges, bad
guys are finding it far easier to commit fraud
because few agencies and advertisers
actually check in detail the hundreds of
thousands of sites on which the ads are run.
It’s easier to hide in a far larger haystack.”
-- Dr. Augustine Fou
-2-

Augustine Fou
Real-Time Bidding
Real-Time
Bidding to
Account for
25% of DisplayAd Spending by
2015: eMarketer

-3-

Augustine Fou
Types of Ad Fraud
Impressions

Clicks

Leads

Sales

(CPM fraud)

(CPC fraud)

(CPL fraud)

(CPA fraud)

Bot or low
wage workers
fill in lead
forms with real
addresses and
get paid bounty
per lead.

Fake sites set
up to do cookie
stuffing or trick
users to click
on affiliate
links to earn rev
share.

(CPV for video)

Botnets
generate fake
pageviews
which produce
ad impression
“inventory” that
is sold into ad
exchanges.

-4-

Bots type
search queries
to bring up
search ads and
then click on
the ads to earn
share of CPC.

Augustine Fou
How Video Ad Fraud
(Cost per View) Works
-5-

Augustine Fou
Bad Guys Put Up Sites
site = analyzecanceradvice .com

site = missomoms.com

19 blocked ads on page

-6-

Augustine Fou
Autoplay Video Ads
Break.com
Multiple video
ads auto-played
simultaneously
on the same
page.

-7-

Augustine Fou
Autoplay (4) Ads

Metacafe.com
Multiple video ads autoplayed back to back with
no user intervention.
-8-

Augustine Fou
Autoplay Video Takeover
Break.com
Autoplayed T-mobile
video ad in full page
takeover.

-9-

Augustine Fou
Use Botnets to Create Views

Source: Wired
Source: Google Digital Attack Map

- 10 -

Augustine Fou
Traffic Firehose On/Off
Source: Alexa

Legit human traffic does not change rapidly; but bot traffic
(firehose) can be rapidly turned off and directed to other sites.
- 11 -

Augustine Fou
Normal vs Fake Traffic
FAKE traffic is the same
across several sites
(corresponds to what was
purchased)

Normal traffic differs from
site to site
- 12 -

Augustine Fou
Video Ad Impressions

50 - 77%
fraudulent, autoplay, wasted, not-in-view
Source: Vindico via Adweek, December 15, 2013
eMarketer: Digital Video Ad Spend est. $4B in 2013

• Advanced bots are programmed to load video ads and wait
till they are counted as “views” before leaving the page
• Video ads have 10x the CPM compared with display ads, and
are therefore a prime target for „bad guys‟
- 13 -

Augustine Fou
Video Ad Views Exploded
Surge in views probably
not due to more humans

Source: comScore, Jan 2014 via MarketingCharts
- 14 -

Augustine Fou
Digital Video Ad Spend
Source: eMarketer, May 2013

Digital video ad
spend continues to
rise rapidly as more
TV ad dollars shift to
digital.
Because video CPMs
are so much more
lucrative, it is more
lucrative for bad
guys too.

- 15 -

Augustine Fou
Video Ads Are Lucrative
Video ad CPMs
are $8 $12, which
means they are
more than 10X
more lucrative
than display or
mobile ads.
Source: Turn, Inc.
October 2013
- 16 -

Augustine Fou
Video Ad Viewability
A new study [download page] from
VideoHub indicates that during the first
quarter, average viewability for online
video ads in the US was 83%, although
rates varied widely among
properties, from 43% on the low end to
94% on the high end. Broadcast TV
sites fared best (89% on average)
among property categories, with
networks and exchanges (73%)
bringing up the rear.

Source: VideoHub August 2013 via MarketingCharts
- 17 -

Augustine Fou
Video Ad (CPV) Fraud
Video Ads
35 billion
video ad impressions /mo

40%

Source: Vindico, 2013

estimated fake views

~$8 - $12
cost per thousand

$1-2 billion
wasted ad spend (annualized)
- 18 -

Augustine Fou
What Advertisers
Can/Should Do
- 19 -

Augustine Fou
Areas of Optimization
30%

40%
30%
- 20 -

targeting

improving
optimization

delivery
viewability
bots /not seen by humans

waste
reduction
Augustine Fou
Low Hanging Fruit
The most immediate, direct impact on ROI comes from reducing waste

25% On-Target Delivery
(Nielsen)

54% Not In View
(comScore)

82% Ignored
(Harris Interactive)

23% Ad Blocked
(PageFair)

24 – 29% confirmed bot
(Solve Media)

- 21 -

Augustine Fou
Digital Ad Forensics Process
Preliminary Scan
Sizing of
ad fraud

Forensic Analysis

Maintenance

• Technology Tools
• Statistical analysis

• Budget shifts
• Further optimization

Implementation

FREE

$$$

Preliminary analysis of
paid campaigns and
analytics to determine
magnitude of the ad
fraud impacting client.

Creating recommended
list of
changes, including list
of sites to exclude in
each ad channel.

- 22 -

$
Subscribe to triangulated,
cross-industry database of
“ad fraud offenders” to
continuously update
blacklists and whitelists.
Augustine Fou
Related Articles
Digital Ad Fraud Briefing
By: Augustine Fou December 2013

Fake YouTube Videos
By: Augustine Fou, December 2013

Ad Fraud Fighting Techniques
By: Augustine Fou October 2013

Fake Linkedin Profiles
By: Augustine Fou, December 2013

How Display Fraud Works
By: Augustine Fou, May 2013

Fake Facebook Profiles
By: Augustine Fou, Dec 2013

How Click Fraud Works
By: Augustine Fou, November 2013

Fake Twitter Accounts
By: Augustine Fou, August 2013

The Magnitude of Digital Ad Fraud
By: Augustine Fou, November 2013

An Ecosystem of Digital Ad Fraud
By: Augustine Fou, October 2013

- 23 -

Augustine Fou
Dr. Augustine Fou – Technical Forensics
“I advise clients on optimizing
advertising across all channels. One
main area of focus is reducing ad waste
due to fraud – fake impressions, clicks,
leads, and sales – which produces
immediate ROI.”
FORMER CHIEF DIGITAL OFFICER, HCG (OMNICOM)
MCKINSEY CONSULTANT
CLIENT SIDE / AGENCY SIDE EXPERIENCE
PROFESSOR AND COLUMNIST
ENTREPRENEUR / SMALL BUSINESS OWNER
PHD MATERIALS SCIENCE (MIT '95) AT AGE 23
ClickZ Articles: http://bit.ly/augustine-fou-clickz
Slideshares: http://bit.ly/augustine-fou-slideshares
LinkedIn: http://linkd.in/augustinefou

- 24 -

@acfou

Augustine Fou

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Video Ad Fraud 101 by Augustine Fou Technical Forensics

  • 1. Video Ad Fraud 101 Dr. Augustine Fou acfou [at] mktsci.com http://linkd.in/augustinefou February 2014 -1- Augustine Fou
  • 2. Why Now? “As more ad inventory is bought and sold programmatically on ad exchanges, bad guys are finding it far easier to commit fraud because few agencies and advertisers actually check in detail the hundreds of thousands of sites on which the ads are run. It’s easier to hide in a far larger haystack.” -- Dr. Augustine Fou -2- Augustine Fou
  • 3. Real-Time Bidding Real-Time Bidding to Account for 25% of DisplayAd Spending by 2015: eMarketer -3- Augustine Fou
  • 4. Types of Ad Fraud Impressions Clicks Leads Sales (CPM fraud) (CPC fraud) (CPL fraud) (CPA fraud) Bot or low wage workers fill in lead forms with real addresses and get paid bounty per lead. Fake sites set up to do cookie stuffing or trick users to click on affiliate links to earn rev share. (CPV for video) Botnets generate fake pageviews which produce ad impression “inventory” that is sold into ad exchanges. -4- Bots type search queries to bring up search ads and then click on the ads to earn share of CPC. Augustine Fou
  • 5. How Video Ad Fraud (Cost per View) Works -5- Augustine Fou
  • 6. Bad Guys Put Up Sites site = analyzecanceradvice .com site = missomoms.com 19 blocked ads on page -6- Augustine Fou
  • 7. Autoplay Video Ads Break.com Multiple video ads auto-played simultaneously on the same page. -7- Augustine Fou
  • 8. Autoplay (4) Ads Metacafe.com Multiple video ads autoplayed back to back with no user intervention. -8- Augustine Fou
  • 9. Autoplay Video Takeover Break.com Autoplayed T-mobile video ad in full page takeover. -9- Augustine Fou
  • 10. Use Botnets to Create Views Source: Wired Source: Google Digital Attack Map - 10 - Augustine Fou
  • 11. Traffic Firehose On/Off Source: Alexa Legit human traffic does not change rapidly; but bot traffic (firehose) can be rapidly turned off and directed to other sites. - 11 - Augustine Fou
  • 12. Normal vs Fake Traffic FAKE traffic is the same across several sites (corresponds to what was purchased) Normal traffic differs from site to site - 12 - Augustine Fou
  • 13. Video Ad Impressions 50 - 77% fraudulent, autoplay, wasted, not-in-view Source: Vindico via Adweek, December 15, 2013 eMarketer: Digital Video Ad Spend est. $4B in 2013 • Advanced bots are programmed to load video ads and wait till they are counted as “views” before leaving the page • Video ads have 10x the CPM compared with display ads, and are therefore a prime target for „bad guys‟ - 13 - Augustine Fou
  • 14. Video Ad Views Exploded Surge in views probably not due to more humans Source: comScore, Jan 2014 via MarketingCharts - 14 - Augustine Fou
  • 15. Digital Video Ad Spend Source: eMarketer, May 2013 Digital video ad spend continues to rise rapidly as more TV ad dollars shift to digital. Because video CPMs are so much more lucrative, it is more lucrative for bad guys too. - 15 - Augustine Fou
  • 16. Video Ads Are Lucrative Video ad CPMs are $8 $12, which means they are more than 10X more lucrative than display or mobile ads. Source: Turn, Inc. October 2013 - 16 - Augustine Fou
  • 17. Video Ad Viewability A new study [download page] from VideoHub indicates that during the first quarter, average viewability for online video ads in the US was 83%, although rates varied widely among properties, from 43% on the low end to 94% on the high end. Broadcast TV sites fared best (89% on average) among property categories, with networks and exchanges (73%) bringing up the rear. Source: VideoHub August 2013 via MarketingCharts - 17 - Augustine Fou
  • 18. Video Ad (CPV) Fraud Video Ads 35 billion video ad impressions /mo 40% Source: Vindico, 2013 estimated fake views ~$8 - $12 cost per thousand $1-2 billion wasted ad spend (annualized) - 18 - Augustine Fou
  • 19. What Advertisers Can/Should Do - 19 - Augustine Fou
  • 20. Areas of Optimization 30% 40% 30% - 20 - targeting improving optimization delivery viewability bots /not seen by humans waste reduction Augustine Fou
  • 21. Low Hanging Fruit The most immediate, direct impact on ROI comes from reducing waste 25% On-Target Delivery (Nielsen) 54% Not In View (comScore) 82% Ignored (Harris Interactive) 23% Ad Blocked (PageFair) 24 – 29% confirmed bot (Solve Media) - 21 - Augustine Fou
  • 22. Digital Ad Forensics Process Preliminary Scan Sizing of ad fraud Forensic Analysis Maintenance • Technology Tools • Statistical analysis • Budget shifts • Further optimization Implementation FREE $$$ Preliminary analysis of paid campaigns and analytics to determine magnitude of the ad fraud impacting client. Creating recommended list of changes, including list of sites to exclude in each ad channel. - 22 - $ Subscribe to triangulated, cross-industry database of “ad fraud offenders” to continuously update blacklists and whitelists. Augustine Fou
  • 23. Related Articles Digital Ad Fraud Briefing By: Augustine Fou December 2013 Fake YouTube Videos By: Augustine Fou, December 2013 Ad Fraud Fighting Techniques By: Augustine Fou October 2013 Fake Linkedin Profiles By: Augustine Fou, December 2013 How Display Fraud Works By: Augustine Fou, May 2013 Fake Facebook Profiles By: Augustine Fou, Dec 2013 How Click Fraud Works By: Augustine Fou, November 2013 Fake Twitter Accounts By: Augustine Fou, August 2013 The Magnitude of Digital Ad Fraud By: Augustine Fou, November 2013 An Ecosystem of Digital Ad Fraud By: Augustine Fou, October 2013 - 23 - Augustine Fou
  • 24. Dr. Augustine Fou – Technical Forensics “I advise clients on optimizing advertising across all channels. One main area of focus is reducing ad waste due to fraud – fake impressions, clicks, leads, and sales – which produces immediate ROI.” FORMER CHIEF DIGITAL OFFICER, HCG (OMNICOM) MCKINSEY CONSULTANT CLIENT SIDE / AGENCY SIDE EXPERIENCE PROFESSOR AND COLUMNIST ENTREPRENEUR / SMALL BUSINESS OWNER PHD MATERIALS SCIENCE (MIT '95) AT AGE 23 ClickZ Articles: http://bit.ly/augustine-fou-clickz Slideshares: http://bit.ly/augustine-fou-slideshares LinkedIn: http://linkd.in/augustinefou - 24 - @acfou Augustine Fou