June 2, 2026
Notes from Manchester – Creator Economy Live
I went into Creator Economy Live expecting a lot of “do more with creators” energy. I came out with something more useful: a clearer sense of what needs to change in how programmes are run, not just what content gets made.
Instead of a neat list of themes, here are the notes I’d actually want in front of me if I were building a creator programme for the next two quarters.
The shift: from campaigns to a programme you can run every month
A lot of teams have moved past the idea that creator is a series of launches. The more confident brands were treating it like a system: roles, routines, and repeatable formats.
- Bold Bean’s model is a good reminder that consistency can beat cleverness. They’re bringing in around 100 new nano-creators a month via gifting and showing up around real-life moments.
- The TikTok panel kept coming back to a simple point: organic creator content and paid promotional content are different products. One stat shared was 38% higher conversion on UGC versus polished brand creative.
What to do with that: build the minimum viable machine first (roles + formats + cadence), then scale.
The tension: trust is getting harder to earn
As AI content spreads, “more content” stops being a differentiator. Trust does.
Creators are not just a distribution channel. They’re a credibility layer. The relationship between a creator and their audience is the thing that holds up when feeds get noisier.
What to do with that: prioritise long-term partnerships and creator-led media that feels like it belongs in someone’s life, not like it was bolted on at the end of a media plan.
The fix: make creator performance legible in boardroom terms
Nobody seemed confused about whether creator matters. The blocker is internal: proving impact in a way leadership and finance can back.
The most practical approach is still the simplest:
- split measurement by layer (awareness, engagement, conversion)
- then put creator metrics on the same monthly scorecard as ROAS, CAC, and blended CAC
What to do with that: agree upfront what “good” looks like at each layer, so you’re not trying to retrofit a success story after the fact.
A simple starter plan (if you’re building this quarter)
- Pick 2 to 3 creator roles (educator, advocate, performer).
- Choose 3 to 5 formats you can repeat monthly without reinventing the wheel.
- Set a cadence (recruit, brief, publish, review) that the team can sustain.
- Add creator rows to the existing growth scorecard, not a separate creator deck.
If you want to sanity-check roles, formats, or the scorecard approach, happy to compare notes.ent presence across owned, earned, and paid, and turn the findings into a practical plan your team can execute.
FAQ
What does “always-on” actually look like in practice?
It looks like a consistent operating rhythm: defined creator roles, a small set of repeatable formats, and a cadence for recruitment, briefing, publishing, and measurement. Campaigns still happen, but they sit on top of a programme that runs every month.
How many creators do you need to make an always-on programme work?
Fewer than most teams think. Start with enough creators to cover the roles you need and to generate steady learning. Scale when the workflow and measurement are stable, not before.
How do you stop an always-on programme becoming a content treadmill?
Limit the number of formats, reuse briefs, and build a pipeline (so you are not scrambling for ideas each week). Treat it like product: ship, learn, iterate. Do not reinvent everything monthly.
What’s the simplest way to explain creator ROI to senior stakeholders?
Separate metrics by layer (awareness, engagement, conversion) and agree upfront what “success” means for each. Then present creator performance alongside the existing growth scorecard, rather than as a standalone creator report.
Where should “UGC” sit: organic, paid, or both?
Both. Organic UGC can build trust and feed discovery. Paid amplification can turn strong creator assets into reliable distribution. The key is to brief and measure organic and paid versions differently, because they behave differently.
What changes in a world where AI content is everywhere?
Trust becomes the differentiator. Creator partnerships matter more because they carry credibility and audience relationship. The work shifts from producing more content to producing content people believe.
Why does YouTube keep coming up in AI discovery conversations?
Because video often contains demonstrations and explanations, which are useful credibility signals. It is also harder to fake well at scale, which can make it a more reliable input than low-effort text content.
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