A lot of comments are rushing to dismiss the entire concept of advertising as ineffective, but they’re missing the point of these Tweets. One of Uber’s advertising partners created numerous apps that did things like auto-click on their ads and install apps in the background, collecting the commission for themselves on customers who didn’t actually click the ad or intentionally install the app. They discovered it when…
Uber discovered they’d been defrauded out of 2/3 of their ad spend
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Re: Uber discovered they’d been defrauded out of 2/3 of their ad spend
#242BTW, there was a recent episode of Freakonomics Radio which talked about this eBay experiment
Re: Uber discovered they’d been defrauded out of 2/3 of their ad spend
#243Earlier quoted context omitted.
The point of traditional advertising IS pretty much to waste money, similar to how the point of a peacock's tail feathers are to waste resources... it is a signal to potential partners (business or romantic) that they are so capable they can waste resources. It is a signal of bonafides.
It's also an important signal to consumers.
Re: Uber discovered they’d been defrauded out of 2/3 of their ad spend
#244So Uber has 15B revenue and they only spend 150M globally on acquisition ad spend. It'd seem to me that this is relatively thin, and likely wouldn't have any impact for some time. Uber is already well known - their spend in most cases boils down to brand advertising and nothing else. Marketing is hard, and anyone just throwing money at something isn't going to win hard. For an established brand, user acquisition is g…
The events described here happened right at the start of 2017, so you wouldn't want to look at their current revenue. Their 2016 revenue was $4 billion, 2017 revenue was $8 billion.
Re: Uber discovered they’d been defrauded out of 2/3 of their ad spend
#245There was a freakonomics podcast recently about advertising (online and traditional). No one can actually prove it has any ROI at all. No one is willing to run the experiments necessary. In the few cases of natural experiments, where ads got turned off for some people by accident, there was no change in buying behavior. https://freakonomics.com/podcast/advertising-part-1/ https://freakonomics.com/podcast/advertising-…
> No one is willing to run the experiments necessary The people that would have the power to run this experiment have their entire careers depending on things staying as-is. Running the experiment carries a significant risk of exposing that the advertising operations they're responsible for provide much less ROI than they pretend it does. The unwillingness of anyone to run such an experiment is already an answer. Why…
Because advertising in some form certainly works. If you can determine that approach "A" that everybody is doing is actually a waste of money but approach "B" is effective, then you can develop services around approach "B" and market them based on these findings.
Re: Uber discovered they’d been defrauded out of 2/3 of their ad spend
#246There was a freakonomics podcast recently about advertising (online and traditional). No one can actually prove it has any ROI at all. No one is willing to run the experiments necessary. In the few cases of natural experiments, where ads got turned off for some people by accident, there was no change in buying behavior. https://freakonomics.com/podcast/advertising-part-1/ https://freakonomics.com/podcast/advertising-…
"When Tadelis was working for eBay, the company was in the practice of buying brand-keyword ads. Which meant that if you did an online search for “eBay,” the top result — before all the organic-search results — was a paid ad for eBay."
This doesn't show that advertising doesn't work per se, it shows that eBay didn't hire a competent ad buyer. Whether or not you can prove the efficacy of advertising as a whole, this is not a valid approach.
Re: Uber discovered they’d been defrauded out of 2/3 of their ad spend
#247Earlier quoted context omitted.
> No one is willing to run the experiments necessary The people that would have the power to run this experiment have their entire careers depending on things staying as-is. Running the experiment carries a significant risk of exposing that the advertising operations they're responsible for provide much less ROI than they pretend it does. The unwillingness of anyone to run such an experiment is already an answer. Why…
I work in the field. Incrementality testing is a big part of marketing measurement at any reputable agency. Any claims to the contrary are FUD. That said, companies like P&G, Airbnb, and Uber, which are oft-cited as examples of digital not being worth it, fail to understand their own brand recognition and organic power, built through prior marketing efforts, as key to their current standing. Sure, TODAY, it doesn’t h…
Re: Uber discovered they’d been defrauded out of 2/3 of their ad spend
#248You can A/B test ads pretty easily, and this is quite common. With some degree of statistical certainty, you can tell how one ad performs to another. You don't have control over your SEO results as well - but you can also measure against SEO traffic with a high degree of certainty. All big companies do this. Sure, you're never going to know exactly how many people you advertised to would have organically, eventually…
> Sure, you're never going to know exactly how many people you advertised to would have organically, eventually found your product and bought it. This is typically an order of magnitude less than the attribution figures stated by digital marketing experts. A/B test is the right method to use, but the crucial thing is you need an earmarked population to see zero adds over your attribution window, since what you care a…
Re: Uber discovered they’d been defrauded out of 2/3 of their ad spend
#249Re: Uber discovered they’d been defrauded out of 2/3 of their ad spend
#250I work at a fortune 50 company, a top 10 advertizer. We have a universal holdout poplation that NEVER recieves any directed/targeted marketing that serves as a control group for many marketing programs. Further in more mass areas there are direct A/B tests that go on. There is a very strong awareness of campaigns that are measurable with ROI's and other programs that are general branding that you can see the impacts…
Does the "universal holdout population" span across all the brands, or do you have a "universal holdout population" for each brand?