Max MorrishThe Playbook

Where, chapter ten

Bought sparks: the economics of "organic"

One large creator18% posteda feed looks 35% agreedFifty small creators32% posteda feed looks 56% agreedNothing boughtunder 1% posteda feed looks under 1% agreed

The same illustrative budget spent three ways on one network of 2,000 accounts, with every assumption at its default and no ad label. Each lit point posted; the faint lines show who set them off. One large creator: 18% of accounts posted and a random feed looks 35% in agreement. Fifty small creators: 32% posted, and a feed looks 56% in agreement. Nothing bought: one person posts on their own and it goes nowhere.

Final meters for the three budgets, default assumptions, no ad label
BudgetAccounts that postedA random feed that looks like agreementPaid share of the conversationTrust spent
One large creator18%35%over 99%49%
Fifty small creators32%56%over 99%70%
Nothing boughtunder 1%under 1%0%0%
Spend an illustrative $10,000 on

Laying out the network.

Accounts that posted0%
How much of a random feed looks like agreement0%
Paid share of the conversation0%
Trust spent: accounts that saw a paid post with no label0%
The meters after the latest round
MeterValue
Assumptions (change any of them)

This is a toy model, not a measurement. Every number below is my guess at a reasonable setting, and none of them comes from data. The budget is an illustration too.

What a large creator charges per post$10,000

At $10,000 the budget buys one post from the busiest account. Cheaper, and it buys the next busiest too.

What a small creator charges per post$200

At $200 the budget buys fifty small accounts, spread across the communities.

Base chance per exposure20%

The chance that someone who sees a post makes their own, when one of their friends has posted.

Social-proof boost per extra friend+100%

Each extra friend who has already posted adds this much to that chance. At +100%, two friends double it.

Reach of a post50%

The share of an account's friends who actually see any one post.

Ad-label discount30%

How much a visible ad label cuts the chance that someone joins in. It only counts with Label as ad on.

Fatigue per round10%

How much the chance falls each round as the idea goes stale.

Each point of light is an account, and the brightest are the busiest. Pick where the money goes, press Run, and watch posts travel along the links. Bought posts glow warm and the one unpaid post glows cool. Then flip the label or move an assumption and run it again.

A huge influencer can sell reach, but a smaller creator can sell believability.

From my draft essay, June 2026.

The idea

You can't force a meme, and I think the skeptics are right about brute force. People can smell a brand trying too hard. But a lot of what looks organic was seeded first, by paid creator campaigns or by tiny accounts that somehow pull millions of views, picked because they look less like ads.

So what's really being sold is deniability. The person scrolling pays for it, and they pay in trust. Below you can spend one budget three ways on a network of made-up accounts and watch what each one buys.

You Can't Force a Meme. You Can Buy One.

I drafted this essay in June 2026 and never published it, so here it is as this chapter's what I'd do now: my words, with the typos fixed, my notes to myself taken out and the links it never got.

In 2020, Nathan Apodaca filmed himself longboarding with a bottle of Ocean Spray Cran-Raspberry, lip-syncing Fleetwood Mac's "Dreams" like there wasn't a care in the world. No brand brief. No rollout calendar. No large team in a conference room obsessing over how to be most relatable to consumers, or catch a "natural" viral wave without looking like they're trying too hard.

It worked because it felt like no product was being sold. Then, of course, there was. Ocean Spray jumped in, Mick Fleetwood recreated it, and "Dreams" returned to the charts decades after its 1977 run. Marketing Dive reported at the time that Apodaca's clip helped the song chart again and that Ocean Spray moved quickly to join the moment.

What made this effective was that the video was real.

Every marketer alive saw the same jackpot: the viral accident. The unsettling question is what happens when the next accident is staged so well that you don't realize it's not real. How many times might we as consumers have fallen for a marketing campaign disguised as an organic moment?

The strongest argument against this is simple: you cannot fake a meme. The internet has a good nose for try-hard brand content. Real memes come from real people seeing themselves in a joke, an image, a sound, a format. "Distracted Boyfriend" was not birthed from a planning deck, nor was it planned in the first place. A Vocal essay makes this case cleanly: manufactured memes often arrive top-down, spread in coordinated bursts, and die because nobody feels ownership over them. Their easily identifiable forced nature means they often drown out among a cacophony of other attempts to create the next viral trend.

At least most do.

I run a small independent music label, and I have seen the less magical version of this, mostly through market research and watching competitors rather than in my own releases. You can believe in a song completely and still know that talent and belief are not a rollout. Hope and heat is not an effective distribution tactic. It is true, there are many examples of success. Sometimes a random post catches. Sometimes the algorithm does something strange and generous. But most of the time, when something looks like it has blown up naturally, when someone creates a viral sensation, someone has paid for the first few sparks.

It is getting harder and harder to tell these days: sponsorships are disguised, and ad signals and signs are hidden so well I often get 30 seconds into a video on Instagram before realizing it's paid content. Marketing in the music industry is especially interesting. There are really two angles to blow up: some do well with a good visual story and hooks, others make something memeable.

You cannot force genuine adoption. Or truly fool everyone with a fake moment. But that is not the game anymore. The game has moved from attempting to brute force virality to seeding. The aim is no longer to strong-arm a concept into the public. It is to plant enough small cues that real people can find it, copy it, and feel like they found it first.

Billboard reported that one major-label marketer estimated around 75% of popular songs on TikTok started with a paid creator marketing campaign. That number should change the way we read our feeds or understand the content and art that we consider "popular" or "viral" etc. It does not mean every song that blows up is fake. It means the base rate has flipped. When a song "randomly" starts appearing everywhere at once, even when the narrative seems to be generally against the product, the smarter bet is no longer pure accident. The smarter bet is that someone paid to make the accident more likely.

The best version does not look expensive.

That is the point of burner pages. Billboard also covered a newer strategy where marketers seed content through tiny accounts, sometimes with almost no followers, that can still rack up millions of views. It is increasingly effective and less costly with AI agents, which makes music more a marketing and exposure war than a game of talent, for the most part. A Warner Records viral-marketing lead described using this approach around campaigns for artists like Sombr, Benson Boone, and Teddy Swims.

Posts from big celebrities or clearly sponsored content appears unappealing to the general consumer, out of fatigue. Many random posts from random accounts with 20 followers and 2 million views looks like you've stumbled across gold. It fakes a trend that people want to be a part of.

The exploit is not really creative. It is psychological. We are wired to treat visible attention as evidence. Likes, comments, shares, reposts, stitches, all of it reads as a kind of social proof. If enough people appear to care about something, we start wondering whether we should care too.

That does not make us stupid. It makes us human. My psych background and overanalysis of what I consume makes this hard to unsee. Taste is personal, sure, but momentum is contagious. A crowd creates pressure even when no one in the crowd knows who started it, even when the crowd is devoid of life, full of soulless robots, forced to promote someone or do someone's bidding.

This is why smaller, authentic creators became so valuable. A huge influencer can sell reach, but a smaller creator can sell believability. Someone with 8,000 followers still feels like a person. Someone with 8 million feels like a media channel. The smaller account gives the campaign a better disguise.

Which brings me to what I think is the real product here.

It is not the meme.

It is deniability.

The most advanced marketing now sells the appearance of not marketing. Authenticity has become a production value. You can make something look underlit. You can make the caption look rushed. You can have the artist act annoyed. You can make the whole thing feel like it slipped out by accident.

The clearest version of this was the "my label is forcing me to make TikToks" wave. Halsey said their label would not release a song until they could fake a viral TikTok moment. Charli XCX posted in that same broad genre, then later said she was lying for fun. NBC covered the whole strange loop, including the theories that complaining about marketing had become part of the marketing.

That is the whole thesis in one object: the complaint about being marketed to became the marketing. As people crave more authenticity and less of this corporate greed, like profit-focused consumerism and ads shoved down their throats, companies are adapting by faking engagement and authenticity and controlling reactions.

And to be fair, this is where the skeptics deserve their win. You cannot prove which specific moments were planted. I cannot point at every trend and say, "That one was paid for." That would be lazy, and probably wrong. Bad seeded content still dies. A terrible song does not become beloved because five creators danced to it. A forced joke still smells forced.

You cannot buy real love.

But you can buy the opening scene. You can buy the first few reactions. You can buy the illusion that other people are invested or engaged in something. After that, real people may carry it for real reasons, and that is exactly where the line gets blurry.

So no, the take is not "everything is fake." That is too simple.

The take is that you can no longer tell, and the inability to tell is the cost.

That is what bothers me most. The feed has made suspicion feel reasonable. When something appears too fast, too polished, too uniformly beloved, I start asking who benefits. Did it actually bubble up from a community, or did it debut from above through press, creator posts, and brand reactions that all arrived a little too neatly? Is the chaos real, or is it dressed for camera?

Those questions do not make the internet more fun. They make it more accurate.

Because when authenticity becomes something you can stage, attention is not the only thing being spent.

Trust is.

How to read the feed

The questions I ask now when something shows up everywhere at once.

  • Did it bubble up from a community, or did it arrive from above, all at once?
  • Are the accounts tiny, with huge views?
  • Is it labelled as an ad?
  • Is the chaos real, or is it dressed for camera?
  • Who benefits?

Where I used it

  • Running Second State Records, the small independent label I co-founded and the seat this essay is written from. Most of what I know about seeding came from market research and watching how other releases move. Co-founder
  • My Project COMTE analysis in a write-up I did: a brand that grows on TikTok through limited drops, scarcity and a loop where buyers' own videos sell the next drop. Seeding is that loop, bought earlier. Solo

Influencer tiers as taught in a digital marketing program, 2026. Social proof after Robert Cialdini; threshold models of collective behaviour after Mark Granovetter (1978). Essay sources linked in the text.