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I used to work in this industry. A small tech team investigated fraud on our platform and developed a system that was pretty robust at detecting and potentiall
by adwww 6y ago
I used to work in this industry.
A small tech team investigated fraud on our platform and developed a system that was pretty robust at detecting and potentially shutting it down. But literally nobody was interested - even the people advertising don't want to know.
The people spending money are typically networks, media buyers, ad agencies, etc, far removed from the actual brand.
There are so many parties who want a slice of the brand's cash that they are all long past caring about whether the ad is being viewed by a human or not.
- walshemj 6y agoAgency or client side? I assure you the big brands CFO's take a huge amount of interest in what is spent on advertising.
- syshum 6y agoIn my experience the Sales and Marketing teams of any large company have the loosest restrictions on how they account for their spending. Other dept;s like IT have to justify every penny, but Sales and Marketing not sooo much
- nkozyra 6y agoI think there's a very loose belief that sales is how money is made, while they people that build and test products are pure expense. I've seen it not just in the phenomenon you describe, but also in layoffs and restructurings.
- tsjq 6y agoYes. Cost centre and profit centre.
- tsjq 6y agoYes. Sales and marketing : "profit centers" . Ever increasing budgets. Engineering , R&D, Manufacturing, Tech, Testing : "cost centers". Ever tightening budgets. MBA, Beancouting 101
- adwww 6y agoThat's the issue - the CFO might care, but the staff actually delegated to spend the budget don't.
- base3 6y agoI worked in adtech. I built a simple ML system that detected signals of fraud on our network. When I reported my findings execs told me the group that was facilitating the fraud was our only profitable division. Soon after, our company went bankrupt. My final paycheck was months late.
- adwww 6y agoSounds exactly like my former employer ha. IIRC our system wasn't even fancy ML - just finding known user IDs with identical timestamps over many simultaneous clicks / impressions on really diverse publishers.