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by masswerk 1806 days ago
How about tracking back to content related advertising rather than tracking based advertising? All related studies are showing that the latter isn't working anyway. And, as these metrics (and ethics) suggest, it has been an illegitimate invasion, right from the beginning. The fancy "conversion rate" dashboards are just not worth it.

Bonus: Maybe this will be an opportunity for content providers to reset the decline of advertising prices that has happened over the last decade. (Remember the blooming blogger scene in the 2000s, when you could still make substantial revenues? Remember the thriving online news papers? We could get back there, if advertising became less invasive and less aggressive and also more profitable for content providers, e.g., how it had been in print.)

5 comments

> 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.

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.)

* 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.

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?

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.

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.)

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.
That doesn’t work because we’re assuming that most marketers are making easy mistakes. The playbook is so simple that people on HN could write it, supposedly.
> That doesn’t work because we’re assuming that most marketers are making easy mistakes. The playbook is so simple that people on HN could write it, supposedly.

Those are someone else's words, not mine. I never argued that winning on Facebook is "easy" (and for the record, neither is it on Google). It's not easy, it's just doable. And for those who have the skills and resources to do it, it's massively profitable. I would even argue that if you're letting an agency run your Google or Facebook account, you're lacking the resources to do it right. What you need is top-level talent competing against your nearest competitors, and winning battles inch by inch. An agency will never give you the talent you need to go up against a company that just raised $100m and is running their performance marketing in-house (and if you don't have such a competitor, then you're either smarter than anyone else in the world, or simply not pursuing a VC-investable market).

So no, it's not easy at all. But it's doable and totally worth it.

>"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.

I went out of my way not to give Facebook any moral high ground, and yet you still managed to get offended.
Your 'proof' doesn't make sence, what does 'offense' or 'moral high ground' have to do with it?
Snark isn't a sign of offense.
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.
I call it a sound challenge to your fallacious argument from profitability. Your non sequitur derailed the conversation.
Indeed, maybe it's about time advertisers got back to sponsoring quality content their target audience enjoys, rather than direct marketing through the back door on the lowest common denominator.
Still not sure why that didn't become predominant. Dynamic content based ads seemed to be the new fad in late 00's, then it kinda disappeared, with user tracking becoming the norm.
Tracking is necessary for the advertising economy to control bad behavior on the part of publishers and advertisers, not just to serve targeted ads.

No matter what there would be discrepancies in the numbers (publisher says it sent 75 clicks, advertiser says it got 70) and that breeds mistrust. Participants have a reason to lie. Having multiple third party watch the whole thing helps them trust each other.

This has been possible before. Google was built around content based advertising. Also, maybe click-through rates are not that important? Maybe exposure is a more decisive metric? As a side-effect, we may reduce social bubble effects and maybe even return to a shared reality? (Many of the unwanted effects of the Web are really due to targeted advertising and its consequences.)
You're clearly under the impression that all that Facebook does is get you good click-through rates and low conversion rates. Similarly, you're under the impression that Google's conversion rates are through the roof. Did you ever stop to ask yourself if your world view might be limited to a small sample size (eg: your own experiences)? I know plenty of businesses where the conversion rates are exactly the opposite of what you described. It turns out, the right marketing platform is related to the product you're selling. For example, if you want to buy a vacuum, Google will do a great job in connecting you with the right advertiser. But what if you just started a new hobby and don't yet know what it is that you need in that hobby? Eg, you started racing, but have no idea that upgrading your suspension will get you more performance than upgrading your exhaust? The advertiser selling suspension components will use Facebook to share this information with you (and Facebook will do a much better job than Google of identifying the person who needs that component but doesn't know it yet), and they will also advertise on Google as well, but Google will only be relevant once the buyer starts researching suspension solutions. Kind of nice to be the first one to pitch a suspension solution to a willing buyer, don't you think?
On the other hand, if I'm not on FB, I probably miss those vendors of suspension components all together. Advertising "in the bubble", as opposed to "in the world", comes with its disadvantages. With content based advertising (media analysis), you'll probably catch me at the related watering holes and communities. Also, excluding non-targeted audiences doesn't exactly benefit a shared world view.

P.S.: The general idea of targeted advertising misses the concepts of state of mind and focus of interest entirely. There's a (significant) difference in delivering a message in context and out of context. (The latter may have even adversarial effects.)

> Advertising "in the bubble", as opposed to "in the world"

Is this an argument for the open web, or is this an argument for Google being more popular than Facebook? If the former, I am with you. If the latter, the gap is not as big as you might think - 4 billion worldwide users of Google Search vs 2.85 for Facebook [1]. Slight advantage to Google, but how many US advertisers really care about international buyers? When it comes to advertising, you want people with money burning holes in their pockets. Facebook's financial results show that they plenty of access to this demographic.

> The general idea of targeted advertising misses the concepts of state of mind and focus of interest entirely. There's a (significant) difference in delivering a message in context and out of context.

You're slightly lagging with this argument. This exact reason was why Google was so dismissive of paid social back in the formative years of Facebook ("who gives a shit about what college students talk about on social networks?"). And then the oh shit moment happened in 2011. Eric Schmidt had to step down and Larry Page tied bonus payouts to the success of Google Plus. You have to give Larry some credit here - while a bit slower than Zuck, he did see the writing on the wall before the rest of the world did. If you tried advertising on both platform in 2011, Google would just crush you with their results. By 2016, Facebook was already competitive with their interest and lookalike targeting for a large group of advertisers (and even enabled Trump to win the presidency), and by 2018 the game had advanced to the new concept of "creative targeting" which is basically entirely driven by the algorithm and takes minimal targeting input from advertisers. At that point, paid social became so good that it got creepy and turned the public sentiment to negative and incentivized Apple to jump on the band wagon with iOS 14.

So I wouldn't agree with your argument that Facebook has a fundamental problem with recognizing intent. If anything, they are too good at it for their own sake.

[1] https://review42.com/resources/google-statistics-and-facts/

I wouldn't pose this as FB vs Google. Google is dealing intrinsic conversion metrics, as well, which are highly problematic regarding the total impact. (So, Google is yet another, while maybe broader bubble.)

On a historical note, as it turned out G+ was soon scrapped and quite a loss, while we're dealing still with the fallout of Google's uniform platform strategy, which was put in place to provide for G+.

Some kind of verification is necessary for impression-based advertising too.

For instance, there are discontents around Nielsen (they've had scandals in India, and I infuriate people in the TV industry with the suggestion that a Nielsen home got bribed to blast MTV in an empty room) but the participants believe in Nielsen: people know probability-based sampling basically works.

P.S.: An interesting experiment may be an ad-blocker with an option "block animated ads and tracking only" (or rather, "show static ads only"). And maybe another option "filter ads to greyscale".

I guess, reducing distraction and moving towards a client-based and user-controlled "ads manager" may have a decisive impact on overall blocking habits.