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@rutrum@lm.paradisus.day
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I think it overinflates the click rate, which means despite having more clicks on an ad, that doesnt mean that more people bought some product. This devalues click rate which might make the ad service less valuble to advertisers, so they dont spend as much on Google’s ad service.

And in general I think makes any training data for a model more muddy, since adnauseum isnt behaving like a human. So it could make it more difficult to train models that do targeted advertising.

@swooosh@lemmy.world
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  1. Company buys 1000 clicks
  2. Adnauseam user click on 100 of them
  3. Company only bought 900 real clicks
  4. If 1% of the people who click, buy, then they only get 9 buyers instead of 10
  5. Company observes that 0.9% of people who click, actually buy
  6. A click isn’t as valuably as before.
  7. To generate 10 clicks, the company has to buy 1100 clicks in order to get the 10 paying customers in order to finance the ads
  8. More ads lead ro more people using adblocker, the more adblock users, the more adnauseam users. The more adnauseam users, the less valuable the ads.
  9. adnauseam usera click more often and faster on ads. If there is a critical mass of adnauseam users, the ads become even more worthless as real people do not get the chance of clicking on it, skewing the curve even further.
  10. As ads become useless because people don’t buy after a click, companies stop paying for ads in that space.
  11. Only companies that can differentiate between real users and adnauseam bots like within proprietary apps like tiktok and instagram can generate money.
  12. Is it really that useful?
Joël de Bruijn
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Was wondering…

If I would invest $10 a month … How many computing power I could get … For an Adnauseam-As-A-Service server … And how many ad-budget that would vaporize?

Would it make $100, $1000 or more ad budget worthless?

Just curious what the numbers would be?

@Valmond@lemmy.mindoki.com
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  1. achtually 1111 (as the new 100 will be targeted as well and so on)

🙂

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