⃛Level Up ↴
When groups of people with a shared preference or attitude choose to do something, we see markets and cultural trends.
But these people aren’t different kinds. They’re simply people responding or reacting to what’s on offer. This means that people can have different responses based on different offers and different conditions.
Generations are useless. In-depth personas have always felt overwrought to me.
Our ideal customers are best defined by the problem they’re trying to solve and the state they’re in.
Sometimes this leads to demographic similarities, but don’t confuse the two.
Daniel Jalkut with the product design dream:
If you can take something that people do today and make it doable in more contexts then it is now, you get a winner.
Previously the iPhone.
Next up, large language models + voice assistants (the new Siri already seems better).
Next next: broad augmented reality?
Different is better than better.
Broadening use cases / increasing contexts is a form of differentiation.
Another principle from the Nudge podcast episode mentioned earlier is to publically demonstrate your ability. It was mentioned as a way to find work (and should work for both employment and clients).
The other benefit is this process allows you to accumulate the small mistakes that will make you more resilient when you need to change and adapt.
I like these 4 marketing principles from the Nudge podcast:
- Different is better than better
- Keep your message consistent
- Price based on value
- Start with distribution, fit the story to the channel (“if you build it, they will come” really doesn’t work)
The thing with these is it requires marketing to be involved early. Not just as an amplification function.
This bit from The Garden Report podcast is bigger than sports.
The teams are your property as the fans. They’re yours. [The players] are the stewards—they’re carrying the mantle now and then they’ll hand it to someone else and someone else. So they’re managing something that’s yours. It’s more yours than theirs. They come and go. This is your team.
Teams are the ultimate. We get irrational about our teams.
But they’re still brands. Brands built on community.
Employees of companies come and go but the (customers) hopefully stay. Which means the brand is theirs, not yours.
Be good a steward.
Social has split into public and private versions.
Public is content creation by influencers, creators, and brands.
Private is content sharing by the majority of users via closed channels like messages.
Public publication. Private distribution.
Instagram continues to lean into more enclosed group sharing, this time via a new option that enables you to share a Story with multiple group lists at once, so you can better curate who sees your updates.
ChatGPT can query the web again. Which means it’s crawling the web. Which means it’s indexing the web. Which means it’s a search engine.
Search 1.0 was hand built directories (Yahoo!)
Search 2.0 was algorithms (Google’s PageRank)
Search 3.0 will be information engines 🔮
Provide the answers without the user clicking all over. Worse for websites, better for users?
The only way to give your fans the gift of an amazing (yet fairly generalized) feeling is to make a very specific, detailed, on-purpose show.
R.I.P. Social Media Managers
The dream job of the social media minded youth is coming to an end.
(Yes, hyperbole (and, yes, not actually the dream job. That status is reserved for influencers and YouTubers))
Organic social media for brands is dead. And it has been for a while. The platforms want you to pay for attention (and they don't want to send people off-platform, so you need to pay for that too).
Of course, brands aren't going to stop posting. It's free! (Except for that salary. And the cost of any content creation needs.) These platforms have massive reach! (Unless you're a brand posting organic content.) Look at Wendy's Twitter! (Are you posting like Wendy's? They're a 1-of-1.)
I think this role will soon be well and truly dead, thanks to AI.
Ok, not really dead dead. But much different.
It will become a Social Media Editor. Or Algorithm Herder.
A role requiring expertise in each relevant platform's algorithm and how to create the best content for it, expertise in the generative AI algorithms and how to get passable stuff out of them, and the internal clout to act as a magazine editor for social.
Magazines print bylines and use freelance writers, they're aren't monolithic content creation engines. Branded social accounts will start to look more like magazines and less like PR departments.
AI deals in averages. It pumps out average content that resembles the average of the internet for that content type. But plenty of brand content already looks like that.
Get a generative AI model trained on your brand data (tone of voice guides, previous (well performing) social posts, blog posts, other writing, etc. (please make sure the model isn't public)) and then the Editor prompts it for more content based on their high-level content calendar.
The real gold of brand social content should come from the employees. Curate and share the content they share to their own profiles. This is pretty much exactly what LinkedIn tells you to do.
Or get ready to actually embrace the Wendy's strategy and get weird.
Everything is going to feel the same. That’s going to lead us to create something unique and different.
-Samir Choudtry
The true social media use case for brands now is customer service. These are the channels customers want to talk to you via. Your customer support/service/success team should have access to answer comments and messages.
Like most of marketing, the Social Media Manager role is about to change. Thanks to the death of brand organic social content performance and the rise of AI. This means, former Social Managers will morph into:
- Algorithm whisperers: using algos to create content optimized for algos
- Editors: collecting and curating content from other team members and amplifying it via the brand accounts
- Creative directors: creative is the primary lever we can pull in these platforms now, these roles may blur
- Customer Success Champion: the days of 1 support inbox are long gone
Oh yeah, and AI-powered chatbots via in-app messaging. But that's a post for another day.
Marketing is changing, it’s time to adapt.
the era of traffic—chasing scale of anonymous pageviews—officially came to an end.
The models that have worked in the past are not the ones that will work going forward. The ease of distribution that publishers had at the time is going to get significantly harder now that the biggest platforms are resistant to sending their traffic off platform.
Traffic as a unit of currency simply won’t matter anymore. We will need to develop new ways of acquiring and retaining audiences.
And this isn’t a bad thing
The quantity of people may be smaller, but they will more likely be seeking out the information you have.
Do you use data, or get used by it?
“Advertisers prioritize cost over value, sometimes to their own detriment. They chase cheap CPMs.”
Metrics like CPM are outdated, unless you somehow get paid for impressions.
Using only one metric to make any decision is a trap. Use multiple metrics and trends to uncover the story behind the data.
And prioritize value over cost. Digital ads cost more when you’re doing it better (by more I mean compared to optimizing for volume above all else.)
For Google Ads peeps, looks like Discovery campaigns are being auto-upgraded to Demand Gen.
The dawn of the age of the ideapreneur
Okay, so access to tech won’t differentiate you and prompt engineering won’t differentiate you. What will? Your ideas
…
The ideapreneur is someone who has learned to harness and control their creativity, to generate better ideas that they can then ask machines to bring to life. That’s the differentiating skill, the X factor – your ideas beget your machines’ output, and the better your ideas are, the better your machines’ output is.
LinkedIn announced AI-powered automated ad campaign creation that “will recommend an end-to-end campaign and automatic optimizations to reach the right B2B audience with engaging creatives, which marketers can adjust and fine-tune before they launch their campaign.” But a few days later the documentation link is a 404, so maybe it’s a thing and maybe it isn’t?
You can still use AI to create a predictive audience based on your pixel data.
X (Twitter) is desperate for money since Elon has been scaring off advertisers. If you can’t get paid directly, why not get that money indirectly? (Deception fits the current playbook perfectly.)
Enter: Google Display Network
advertisers will be able to tap into the X home feed inventory through Google Ads Display campaigns
Potentially more importantly for you, you can exclude the placement.