You Ask, I Answer: Machines Marketing to Machines?

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You Ask, I Answer: Machines Marketing to Machines?

Annika asks, “Will humans drop out of the loop with marketing? Will it be machines marketing to machines?”

This is already happening to some degree. We’ve been marketing to machines for decades. Our machines can now market to other machines in the sense that one algorithm competes with another.

You Ask, I Answer: Machines Marketing to Machines?

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In today’s episode Chanukah asks, Will humans drop out of the loop with marketing will be machines marketing to machines in the future? You know, this is happening to some degree already.

In fact, we have been marketing to machines for decades.

When you look at the professions, for example of search engine optimization, you are optimizing not for a human, you are optimizing for search engine to crawl your page now, thanks to things like deep learning and stuff, what appeals to a human and what appeals to a machine that have converged much more closely.

But in the early days of SEO, it was all keyword matching, we used to have terrible jokes like an SEO expert walks into a bar tavern, pub, stuff like that.

So we’ve been marketing the machines for a while.

And no surprise, anybody who’s been doing any kind of work in machine learning in marketing for the last five years, has been using machines to do some of that marketing to machines.

For example, in SEO, using topic modeling to reverse engineer, the top search results that Google spits out, so that you can understand what content needs to be on your pages to potentially rank just as well.

That’s machines marketing to machines.

When you look at social media, social media marketing, is humans marketing humans, but it is also humans marketing to machines.

It’s also humans, trying to understand how the algorithms work.

And, again, no surprise using sophisticated data analysis tools.

A number of vendors have figured out that stuff like time series forecasting, and other predictive analytics are an important part of understanding how to market to these algorithms to increase the chances of your posts being seen in the Facebook newsfeed for example, or Twitter or Instagram.

So again, machines marketing to machines.

where this is going, No surprise is with lots of content generation, SEO will see this first social media will see this, probably secondarily.

But as we were talking on a recent episode about new advances in pre trained models, like GPT 2778, and Mel net, humans are really good at creating content.

In general, obviously, if you have the engine, create all your content, you’re gonna get a lot of content.

But for the sake of argument, mid career professionals going to create presumably pretty good content.

But we scale poorly.

We can only write so fast, even a mediocre quality, we can still only write so fast.

Machines are today spitting out mediocre quality content at blistering basis.

And as these models, these pre trained models get better and better and better.

We will see that quality of content generated by machines inching up.

So going from mediocre to not bad, to a pretty good to Wow, that’s really good.

I like that.

As we make that evolution, no surprise, at least for SEO purposes, we will be hundred percent machines, marketing and machines, wherever human will be in the loop insofar as they are quality checking, they are providing some training for an active learning system saying like, Yes, that was good.

No, that was good.

Spot checking stuff.

But the heavy lifting will be done by machines.

We are already seeing this to some degree.

For example, in press releases, press releases of the most template two forms of content there are right, what’s the what’s the standard format of our press release.

It is a, you know, an introduction of the industry leading company, a quote, a key announcement, where you’re proudly introducing, you’re pleased to announce your product, right? And then you follow that up with a random quote by the CEO, the CEO, you never said you just have copy and paste something in there.

You have information about your products innovative turnkey solution, you have a quote or testimonial, which again, is probably made up and then you have some contact information, right? That’s the template of a press release.

Machines already, right those machines, right minor league baseball reports, machines, right financial press releases and financial statements.

Because it’s so tempted that you don’t even need a eye for that.

Some more creative stuff like blog posts, video scripts, and things like that those, those will become machine generated for the most part, and then humans will be responsible for the quality checking.

Well, humans ever exit the loop.

Probably for low risk stuff again, humans have already exited the loop for things like financial press releases, right? That’s low hanging fruit, there’s no risk.

And if your content all sounds the same, it’s fine.

Because humans really aren’t supposed to be reading it.

I guess they should be.

But nobody does.

Those are released to satisfy regulation FD, by the SEC, which says that you must publish certain things.

It has public announcements to meet regulatory compliance requirements.

As long as you publish the thing doesn’t matter if another human never laid eyes on it.

You have done your due diligence to meet that regulatory requirement.

So machine can 100% publish that and as long as the data is factually accurate, it doesn’t even really matter if it’s word salad.

Humans will not exit the loop on creative endeavors for quite some time because again, we want to make sure that our models are generating appropriate content, we have seen from past experience, Microsoft take comes to mind that the machines can the algorithms and the models can be spiked pretty easily poison poisoned.

So we will be continually quality checking those making sure they stay on the rails.

And we can track things like model drift with tools like IBM open scale, for example.

For the most part, we will stay within the loop on our creative endeavors with machines.

on other things like for example, advanced topic modeling or social media algorithm analysis, you will have the human in the loop far less because again, those are pretty standard statistical operations.

Those are not things that require deep inspection humans will look at the outputs.

But beyond checking for model drift, humans will be needed to really dig in there.

So machines marketing machines is the present day already and it will become much more of the future as the future rolls around.

So good question.

Interesting question.

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