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> All related studies are showing that the latter isn't working anyway. This is very common on HN these days - stating something with a lot of confidence that

> All related studies are showing that the latter isn't working anyway. This is very common on HN these days - stating something with a lot of confidence that turns out to be some self-constructed mental model that has nothing to do with reality. Then, add the obligatory "all related studies are showing it" and you have met the publishing standards. Legally or illegally, morally or immorally, for better or worse, Facebook has created the most sophisticated ad targeting engine the world has ever seen. You want proof? Look at their financial statements. You want more proof? Look at all the companies that went public on the back of Facebook's ad targeting engine. Again, perhaps it shouldn't exist in the first place, but trust me, it works.

masswerk 5y ago
Disclaimer: I studied media theory and publishing, but well before the Web became the all-decisive factor. Meaning, I have some idea about those things and have still an interest in them. (Also, I actually programmed ad embedding mechanisms for ad networks, but quit this field, when things became too invasive and ads too aggressive and I couldn't justify this any longer. – At this time, tracking was commonly done for multistage campaigns only.) That said, I've never come upon a study that showed significant gains due to targeting, rather to the contrary. – So, after a decade, I'm still waiting for any proof in favor of targeting. (The suspicion must be still that targeting is rather a lazy alternative to media analysis and its perceived advantage is rather rooted in minimising efforts than in effectiveness.) Regarding "Facebook has created the most sophisticated ad targeting engine", this is a rather biased proposition. It has enforced Facebook as a broker, made advertising cheap, while less effective, and has driven ad revenues for content providers downhill. (Google is to blame, as well.)
- renewiltord 5y ago
  * There is a pervasive belief on HN that marketing teams are making easy errors, i.e. there is low hanging fruit * Consultancies that improve marketing campaign efficacy make lots of money * HN users are making small fractions of that money and constantly complaining about it * Any HN user capable of picking this low hanging fruit could do this for two years and retire for life * They are not * Conclusion: Either there is no low hanging fruit, or the HN users observing this are making millions of dollars, or these HN users do not care for money at all and get greater utility from complaining about money.
  - masswerk 5y ago
    Maybe, there's a biased view in ad business and some of the perceived benefits and effects are rather tautological? (This is why we have studies.) You could also conclude from your remarks that there is a pervasive idea around ad teams that former generations (in the times of media analysis) were just delivering complete failures. However, this model had delivered for more than a century. How could this model perform with todays instruments and data?
    - renewiltord 5y ago
      The best thing about startups is that they test questions like that in a way that these studies can't. Because the participants have a very real and strong incentive to succeed they will perform that continuous search and hypothesis adjustment till they hit gold or die. If you truly have a Thiel hypothesis, you're going to get very rich. In software, we call this "talk is cheap; show me the code", but of course here you don't need to show me the code. It's just that you're letting this golden opportunity go to waste. Up to you, I guess.
      - masswerk 5y ago
        The problem being only that these startups are still acting in the bubble of common beliefs of the field. So these are actually testing the beliefs, not their real-world effectiveness. (Also, at this stage, you have to comply and conform to the delivery networks right from the very beginning with little chance of competing with the big, established ones.) Edit: Moreover, you had to compete with the paradigm of low effort, high interchangeability and big data. (Meaning: interchangeable code, interchangeable users, interchangeable professionals, interchangeable clients, and lean know-how stack as it's "all in the data". While this adheres to criteria of optimization, it doesn't necessarily mean that it represents an optimum of effectiveness, as well.)
  - aerosmile 5y ago
    Alternative conclusion: as with all things in a capitalist society, there is a small minority of people that is killing it, and they are not making it easy for everyone else to discover their playbooks.
ClumsyPilot 5y ago
>"You want proof? Look at their financial statements." Homeopathy peddlers make a killing, so does the agile consultants and th catholic Church, if this is proof they must both be right? Just because someone made loads of money doesnt mean their claims are sciebtifivally valid.
- aerosmile 5y ago
  I went out of my way not to give Facebook any moral high ground, and yet you still managed to get offended.
  - pseudalopex 5y ago
    Snark isn't a sign of offense.
    - aerosmile 5y ago
      Call it what you want, the outcome is the same. You want to say [A], but before you say it, you have to start with [B] just not to get the conversation derailed by call-it-what-you-wants. And it turns out, the call-it-what-you-wants are still going to do their thing, pretending this is Reddit.
      - pseudalopex 5y ago
        I call it a sound challenge to your fallacious argument from profitability. Your non sequitur derailed the conversation.
        aerosmile 5y ago
        Would you mind to elaborate? I am genuinely wondering if you're a troll or if I am mistaken in my argument. To summarize, I responded to the claim below that Facebook's ad platform is ineffective: > All related studies are showing that the latter isn't working anyway. I pointed out that Facebook wouldn't be profitable if the ad platform is ineffective, and you called that argument fallacious. I am really curious to hear what's fallacious about it.

masswerk 5y ago

Disclaimer: I studied media theory and publishing, but well before the Web became the all-decisive factor. Meaning, I have some idea about those things and have still an interest in them. (Also, I actually programmed ad embedding mechanisms for ad networks, but quit this field, when things became too invasive and ads too aggressive and I couldn't justify this any longer. – At this time, tracking was commonly done for multistage campaigns only.) That said, I've never come upon a study that showed significant gains due to targeting, rather to the contrary. – So, after a decade, I'm still waiting for any proof in favor of targeting. (The suspicion must be still that targeting is rather a lazy alternative to media analysis and its perceived advantage is rather rooted in minimising efforts than in effectiveness.) Regarding "Facebook has created the most sophisticated ad targeting engine", this is a rather biased proposition. It has enforced Facebook as a broker, made advertising cheap, while less effective, and has driven ad revenues for content providers downhill. (Google is to blame, as well.)

renewiltord 5y ago
* There is a pervasive belief on HN that marketing teams are making easy errors, i.e. there is low hanging fruit * Consultancies that improve marketing campaign efficacy make lots of money * HN users are making small fractions of that money and constantly complaining about it * Any HN user capable of picking this low hanging fruit could do this for two years and retire for life * They are not * Conclusion: Either there is no low hanging fruit, or the HN users observing this are making millions of dollars, or these HN users do not care for money at all and get greater utility from complaining about money.
- masswerk 5y ago
  Maybe, there's a biased view in ad business and some of the perceived benefits and effects are rather tautological? (This is why we have studies.) You could also conclude from your remarks that there is a pervasive idea around ad teams that former generations (in the times of media analysis) were just delivering complete failures. However, this model had delivered for more than a century. How could this model perform with todays instruments and data?
  - renewiltord 5y ago
    The best thing about startups is that they test questions like that in a way that these studies can't. Because the participants have a very real and strong incentive to succeed they will perform that continuous search and hypothesis adjustment till they hit gold or die. If you truly have a Thiel hypothesis, you're going to get very rich. In software, we call this "talk is cheap; show me the code", but of course here you don't need to show me the code. It's just that you're letting this golden opportunity go to waste. Up to you, I guess.
    - masswerk 5y ago
      The problem being only that these startups are still acting in the bubble of common beliefs of the field. So these are actually testing the beliefs, not their real-world effectiveness. (Also, at this stage, you have to comply and conform to the delivery networks right from the very beginning with little chance of competing with the big, established ones.) Edit: Moreover, you had to compete with the paradigm of low effort, high interchangeability and big data. (Meaning: interchangeable code, interchangeable users, interchangeable professionals, interchangeable clients, and lean know-how stack as it's "all in the data". While this adheres to criteria of optimization, it doesn't necessarily mean that it represents an optimum of effectiveness, as well.)
- aerosmile 5y ago
  Alternative conclusion: as with all things in a capitalist society, there is a small minority of people that is killing it, and they are not making it easy for everyone else to discover their playbooks.

ClumsyPilot 5y ago

>"You want proof? Look at their financial statements." Homeopathy peddlers make a killing, so does the agile consultants and th catholic Church, if this is proof they must both be right? Just because someone made loads of money doesnt mean their claims are sciebtifivally valid.

aerosmile 5y ago
I went out of my way not to give Facebook any moral high ground, and yet you still managed to get offended.
- pseudalopex 5y ago
  Snark isn't a sign of offense.
  - aerosmile 5y ago
    Call it what you want, the outcome is the same. You want to say [A], but before you say it, you have to start with [B] just not to get the conversation derailed by call-it-what-you-wants. And it turns out, the call-it-what-you-wants are still going to do their thing, pretending this is Reddit.
    - pseudalopex 5y ago
      I call it a sound challenge to your fallacious argument from profitability. Your non sequitur derailed the conversation.
      - aerosmile 5y ago
        Would you mind to elaborate? I am genuinely wondering if you're a troll or if I am mistaken in my argument. To summarize, I responded to the claim below that Facebook's ad platform is ineffective: > All related studies are showing that the latter isn't working anyway. I pointed out that Facebook wouldn't be profitable if the ad platform is ineffective, and you called that argument fallacious. I am really curious to hear what's fallacious about it.