Ad Fraud: How Big Is The Problem? | iZooto Office Hours Series Day 12
iZooto
Published on Apr 14, 2020
Welcome to Day 12 of the Virtual Office Hours Series from iZooto.
If you are directly or indirectly engaging affiliates and agencies to buy media or are in any way involved in the supply chain of buying media to your website or App, you must have come across the term 'Ad Fraud'. If not, then you definitely should watch this eye-opening video.
Ad Fraud is the falsification of traffic data on a website by the fraudsters who use a variety of fishy sources to make financial gains out of the act.
Ad fraud has been plaguing the $200 billion online ad industry for quite some time now. Fraudsters are able to get away with as much as $45 billion every year due to a lack of awareness among Publishers and advertisers.
Watch the full video to understand what Ad fraud is, Various types of ad frauds, how to mitigate risks and, an answer to the most commonly asked question "Am I being scammed by affiliates or Ad agencies?"
If you find this video interesting, please don't forget to like, share and subscribe!
Table of Contents (powered by https://videoken.com)
0:00:00 Ad Fraud: How Big Is The Problem?
0:03:05 Why do you think this is so ignored or it so due attention?
0:06:38 Google Analytics is happy: Are you saying that - Sophisticated tracking platforms like Google analytics is not able to detect fraud traffic today?
0:08:54 A rough estimate
0:09:25 Things we will discuss:
0:09:39 What is Ad Fraud?
0:09:56 Ad Fraud Type - GIVT
0:11:42 Ad Fraud methods
0:11:58 Case 1 - OTT Publisher (Video content)
0:15:14 Case 2 - Ecommerce portal
0:18:32 A good idea
0:19:12 Online Ad Fraud Fake Sites & Fake Apps
0:19:21 Countless more fake sites/apps
0:20:20 Q&A
0:20:40 At what scale should publishers start looking at this problem?
0:21:43 Who should be solving this problem?
0:23:31 Comscore: Buying traffic
0:24:52 How do affiliates stuff my browser with cookies?
0:26:54 How are we solving the problem of add optimization?
0:28:54 Can add optimization will not solve the techniques such as linear programming?
0:29:34 How do you educate brands, publishers, add networks towards this problem?
0:33:15 Conclusion: Target customers
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