Another guest blog to share with you! Here is a post by Bob Deininger, Media Director of Norbella that takes a look at fighting digital ad fraud and how best to educate and protect your clients. Interested in guest blogging? E-mail taylor [at] mitx [dot] org.
Bob’s twenty years of marketing and media experience includes positions at D’Arcy Masius Benton & Bowles in New York, Arnold Worldwide, Hill Holliday and as a principal at Fulgent Media Group, where he was part of the team that profitably grew the company for a sale to Alloy Media + Marketing in 2008. Bob has worked with notable clients that include American Express, Gillette, Procter and Gamble, Genzyme and Harvard Business School. Current NorBella clients include Bertucci’s, Lahey Health, Boston Symphony Orchestra and Boston Private Bank.
When The Wall Street Journal publishes multiple articles* on digital ad fraud, the industry and your clients take notice. Digital ad fraud is a serious problem, a $6 billion dollar problem in the US in 2013, as estimated by White Ops, a company that tracks online criminal behavior**.
How to explain digital ad fraud to your clients:
Digital ad fraud is caused by hackers who surreptitiously install malware on computers. This malware is then used to hijack hundreds of thousands of computers to act as “bots” by visiting sites or clicking on ads to mimic human behavior. Botnet operators make money when they direct non-human/bot traffic to websites to generate impressions, which are then bought on ad exchanges by automated buying platforms (i.e., demand side platforms).
Many Eastern European hackers who previously focused on electronic bank transfer fraud have turned their attention to digital ad fraud, as it can be more profitable. In digital marketing, there are no Secret Service men monitoring this fraud, and it’s not yet a criminal offense!
Recently, Collective, an ad network, explained how they are being vigilant about detecting fraudulent non-human traffic. Collective has a dedicated team that looks at “big data” within log files to detect patterns that represent suspicious activity. A few patterns identified by Collective and CPX Interactive’s Botwatch.com are as follows:
Site overlap: Bots tends to visit a limited number of sites with high regularity in order to generate traffic while humans visit a limited number of sites per day. Sites with aberrant traffic patterns can be flagged as questionable.
Browsing behavior: Bots tend to visit the same site in rapid-fire succession within a very short time between visits (usually one second) while visiting patterns of human traffic has hours or days between visits.
User agent analysis: A user agent is software that sends a line of text to identify a computer’s browser and operating system to a web server. Analyzing user agents can identify bot traffic as normal sites have varied distribution of browsers and operating systems while bots use fewer browsers and operating systems.
How we can fight back:
Several companies like Integral Ad Science, White Ops, MdotLabs (recently acquired by comScore) and Adometry (recently acquired by Google) have developed technologies to detect bot traffic in order to avoid fraud.
Additionally, the IAB has started to certify companies that are compliant with its Quality Assurance Guidelines (QAG, http://www.iab.net/QAGInitiative/overview) that provides greater transparency on how companies are acquiring and vetting digital inventory
Protecting your clients:
Walter Wriston’s quote, “money goes where it’s well treated” should apply to how you treat your client’s digital ad budgets with media partners. As programmatic buying becomes increasingly popular, it will be important to make the commitment to work only with partners who are actively addressing the issues of digital fraud.