I asked a brand recently whether they were actively managing their creator affiliate program. Growing it, monitoring it, following up with creators, engaging the ones who were posting, activating the ones who weren't.
Their answer was, "I wish."
The team I was talking to was sharp, experienced, and motivated. They knew what good looked like. They just didn't have enough time to run the version of the program they knew was possible.
I see some version of this in almost every creator program. The team is doing the best it can in the trenches, aware there is a better version of the program if they could get to it. The work that gets cut first is usually the work that doesn't look urgent: testing new creators, helping them succeed, following up with the ones who showed promise, seeding the next cohort.
That work compounds when you do it, and it goes nowhere when you can't.
The last article I wrote was about the foundation missing underneath the creator economy. This article is about the first problem that foundation has to solve: creator marketing gets more complex as it scales.
Every other marketing channel gives you more efficiency as it grows. Paid media is a credit card, a couple of experts, and data. Once you figure out what works, you can spend more money and get more output.
Creator marketing is different. Every creator you add is another relationship to manage. Ten creators is ten relationships. A hundred is a hundred. A thousand is a thousand. The complexity goes up with scale, and the people running these programs feel it every day.
That is why the category still feels like the wild west.
The Wild West Is a Symptom
Every year more money flows into creator marketing. Every year more creators show up to participate. Every year more brands say the channel matters. And every year the people running it describe the category the same way they did the year before.
It is the wild wild west.
You hear it on conference panels. You read it in trade press. You see it in board decks.
The phrase has been around long enough that the industry treats it like identity, as if this is just how the market works. I don't buy that. The wild west is a symptom. It means the market is growing faster than the infrastructure underneath it.
Creators learn what to charge in private DMs. Brands often can't see how their creator dollars are being split. Operators get promoted into complex programs and have to figure out the job while they are doing it. The data doesn't travel, the trust doesn't travel, and every brand ends up rebuilding judgment for itself.
Five years ago, GRIN's co-founder, Brandon Brown, was already naming the ceiling that breaks creator programs at scale.
His diagnosis was specific:
"Doing this on your own is super messy and it won't scale. It's clear that brands require new capabilities in order to do this effectively. Like how do you recruit an army of creators who are aligned to your brand and how are you forming close relationships with all these people at scale? How are you shipping product to thousands of people at once and tracking when it arrives and how are you tracking all of this social content that these creators are creating? And it's not like you're just cutting a check to a marketing agency. Like how are you paying all these people who are not employees and who aren't on your payroll?"
Recruit, build relationships, ship, track, pay. Every one of them is still where programs break today.
The tools have gotten better. The CRMs got smarter, dashboards got cleaner, workflows got more powerful. But the work itself didn't change enough. Every decision still found its way back to a person. Every new creator still added another relationship. Every larger program still needed more people behind it.
The Math Breaks the Model
A strong creator program touches almost every part of the business that interacts with creators: sourcing, vetting, contracting, briefing, gifting, tracking, content review, payment, reporting, compliance, rights, repurposing, and more.
The hard part is that this work is rarely the team's only job.
The team running influencer is often also running the social calendar. The person managing creators is also managing partnerships. The marketer who needs to follow up with ten creators today is also preparing next month's launch, chasing approvals, and trying to answer the CFO's question about what the spend produced.
The work to do creator marketing well is real and heavy. Most teams have not been resourced to absorb it on top of everything else.
Creator programs need real headcount, headcount needs real funding, and funding needs confidence. And this category still doesn't give executives enough confidence often enough.
We have seen one way around this. An executive team believes in the channel, makes a real bet, and resources the program correctly from day one. The brands that win at creator marketing have usually done exactly that. They have dedicated ownership, enough budget, and enough patience for the curve to bend.
The more common path is incremental. "Let's dip our toe in. Let's see what we get back. We can scale up if it works."
That sounds reasonable from the outside. Inside the program, it is exactly what sets the team up to fail. An incremental program is under-resourced by definition. An under-resourced program produces below-potential results. Those results fail to justify the next round of funding.
Eventually the team gets the question: Why isn't this working?
The market keeps running that experiment, getting the answer the math was always going to give, and quietly concluding the channel is the problem.
Better Tools Were Not Enough
For years, the industry tried to solve this with better software, better workflows, better education, better support, and better methodology. All of that helped. It did not remove the work.
We learned this the hard way at GRIN. We helped brands run creator programs at a scale nobody else could, but when we expanded beyond the brands that already knew how to run the channel, roughly half of the new customers failed. We could usually tell within 30 to 60 days of onboarding whether a brand would succeed, but we couldn't determine it in advance.
A program that needed an expensive team still needed an expensive team. A brand without enough internal capacity still couldn't follow up with every creator, test every cohort, read every signal, and deepen every relationship. The software made the operator stronger, but it did not change the underlying equation.
In a mature market, you can usually identify fit before the contract is signed. Software companies do it on ICP. Financial services do it on credit. In creator marketing, you often learn after the program is already live.
You do not always know in advance whether a brand has the budget, capacity, patience, internal alignment, product-market pull, creative instincts, and operational discipline to make the channel work.
That is frustrating for customers and bad for the market. Brands take too much risk before they know whether the channel will work for them. Vendors spend too much trying to serve customers they may not be able to help. Sales and marketing struggle to point the category toward the right participants. Product teams keep improving workflows, but the economics don't change enough.
The category does not need one more dashboard on top of the same model. It needs a different model.
What Changed
In the last year, AI has changed what software can do. The big shift is that software can now make decisions that used to require people. That matters because creator marketing has always had two very different kinds of decisions trapped inside the same job.
Picture an Influencer Marketing Manager at a mid-sized brand running a few hundred creators across affiliate, gifting, and paid partnerships.
Today, her Tuesday looks something like this. She wakes up to forty-something emails, a third of them from creators asking about payment status or content approvals. She spends the morning resolving the urgent ones. After lunch she reviews content for brand-safety issues, adjusts a contract template, chases an internal approval, and handles a dispute that should have already been resolved.
By 4pm she has started sourcing creators for next month's launch and gotten through six profiles before the next fire hits. The creator she meant to call this week, the one whose performance is starting to suggest a real long-term partner, moves to next Tuesday.
Now picture the same Tuesday with most of that day-to-day work handled before it reaches her.
She wakes up to a daily brief. Routine creator messages have already been routed. Payment status is summarized. Contracts are ready for sign-off instead of being drafted from scratch. Content review is sorted into what needs her judgment and what has already cleared. Her CRM has pre-vetted creators for next month's launch and ranked them against the brief.
By 11am she is done with the work that used to consume her day. She calls the creator she has been meaning to call. She sees the pattern in last week's data. She decides to deepen the relationships whose long-tail performance is starting to compound.
The daily work stops consuming the day and the bigger calls become the job. The math of running a creator program starts to change because every additional creator no longer requires the same additional increment of an already-saturated day.
The brands that already made the executive bet will compound from this. They will get more out of the teams they already invested in. The brands stuck in the incremental model get a path forward too. The work that defeated their teams can be handled by infrastructure instead of staffed one person at a time.
Where This Leaves Us
Creator marketing teams have been right all along. The channel works when it gets the support it needs. Most teams have been asked to run relationship work at a scale the old software model could not support.
For the last decade, software helped operators move faster. It did not change the amount of judgment those operators had to personally carry. Every new creator still added more human coordination. Every larger program still required more people. Every team still had to choose between keeping the program moving and doing the work that actually compounds.
AI changes the economics only when it is built into the product from the beginning. You can't just add AI to the old model and expect the math to change. The old model assumed the daily work and the bigger decisions had to live on the same calendar, with the same person, fighting for the same hours.
The next generation of creator marketing has to start from a different premise. The repeatable decisions that consume the day should be handled before they reach the operator whenever possible. The human should spend more time on the calls that compound: which creators to bet on, which relationships to deepen, where the program is going, and what the brand should do next.
That is how this channel starts to scale like the market always believed it could.
GRIN helped define the first generation of creator management. Now the category needs its next model for how the work gets done. The wild west was a symptom of missing infrastructure. That infrastructure is finally possible, and that is what we have spent the last year building.