The reality is something QUITE different, as this long piece shows.
It's snark-heavy, with a headline of "The new dot-com bubble is here: It's called online advertising."
A key early point of Jesse Frederick and Maurits Martijn is that here, in the most dismal of the social sciences (advertising as part of economics), as in other sciences, correlation is not causation.
From there, we dive into some actual research, which the hand-wavers didn't.
Finding one? Paid company brand name keyword links? Bupkis.
We then move beyond that to:
The benchmarks that advertising companies use – intended to measure the number of clicks, sales and downloads that occur after an ad is viewed – are fundamentally misleading. None of these benchmarks distinguish between the selection effect (clicks, purchases and downloads that are happening anyway) and the advertising effect (clicks, purchases and downloads that would not have happened without ads).
Interesting.
Now, that's all true of old-fashioned ads as well.
From the newspaper biz, I know that. I've not sold a lot of ads, but I've sold a few, and working primarily in the community papers biz, I've heard people ask about ads even if I've not been the seller of record.
Can't tell you how many times someone would ask to make a coupon a part of their ad to test ad effectiveness. That ignores whether people remember to clip the ad or not, remember to have the clipped ad with them, etc., and finally, whether the ad, coupon included, is that much of an enticement for a product or service they might not otherwise need.
Per neuroscience, advertising is just a general "primer." And, whether in a newspaper or magazine's print version, a TV station, or on Facebook, it's only going to attract people already interested in the product or service, or in an individual company. In that sense (and god, I hate to give him credit for anything) it's like a Cass Sunstein nudge.
From there, the authors talk further about "selection effects" (i.e., selection bias) vs "advertising effects." And they apply this to the Hucksterman Empire.
In seven of the 15 Facebook experiments, advertising effects without selection effects were so small as to be statistically indistinguishable from zero.
Well, that's pretty serious.
Because the target audience for a lot of ad sales is small, you have to run large sample sizes on testing before you can figure out if you've got something real. The audience for some new Max Factor lipstick is nothing like presidential polling. Rather, going the other way, the authors compare the rarity of many product needs to that of cystic fibrosis.
From here, the authors note that this also shows advertising can't manipulate people as much as digital advertisers claim.
The information above is as true on affiliate marketing as on search.
The biggie behind all of that is this:
It might sound crazy, but companies are not equipped to assess whether their ad spending actually makes money. It is in the best interest of a firm like eBay to know whether its campaigns are profitable, but not so for eBay’s marketing department.
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