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renewiltord

* 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.

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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.

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