CLICK Influence · Managed Talent
We map every creator
we manage.
Reach tells you how many. It doesn't tell you who. We map the communities inside a creator's audience, so the brands we bring them fit, and the content they make lands.

The process
How we read an audience
Understand who actually engages — their communities, interests, affinities and cultural behaviours. Bots and fake accounts are removed first.
The same intelligence on comparable creators and the brands already competing for that attention.
Surface the communities nobody planned for — high-affinity groups hiding outside the obvious category.
Untapped landing points where a partnership will hold, ranked before a single brand is approached.
Every creator has a different audience opportunity. The map reveals theirs.
What the map found
Fortnite is the core.
It isn't the whole map.
Seven communities sit inside SypherPK's Instagram audience, measured by what those same people engage with elsewhere. Select any one.
Eleven times what chance predicts. No other community is within a third of it — this is the signal that justifies real investment rather than a test.
Which brands his audience already leans toward
The non-endemic standout. His audience leans toward Sprite while other mass beverages sit at chance — Celsius 0.9×, Gatorade 0.8×. The kind of connection a category search never surfaces. No Sprite partnership exists.
Based on 15 shared likers. Directional.
1.0× is what chance predicts. Above it, his audience engages more than it should by accident — which is what makes a partnership feel native rather than bought. Each brand rests on 10–38 shared likers, so read the direction, not the decimal.
Where he can grow next
Communities with a measured toehold outside the battle-royale core — enough to justify a test, and the clearest routes to brands Fortnite alone can't reach.
What it turned into
The map, in a room.

The highest-indexing brand in his whole audience is the one on the screen.
Red Bull tops a 24-brand ranking of his measured affinities. He signed as a Red Bull athlete in May 2025 — and the partnership now runs from editorial content to a Fortnite series with Lachlan to an activation at the NBA Finals, alongside Alienware at his first live LAN.
His deepest partnership sits on his strongest community.
A Fortnite Icon Series skin — his own in-game character, the highest honour Epic gives a creator — plus a tagged glider release, a mural in his hometown, and an active Support-A-Creator code.
The wider roster
Non-endemic brands land here too. A Wimbledon and AMEX Fortnite UEFN map, delivered with Team Liquid, is the clearest example — a tennis championship reaching a gaming audience through the creation-led format he is known for.
Content that fits the room
Same creator.
Three different audiences.
His platforms don't reach the same people, so they shouldn't carry the same content. Each one below is measured a different way, and the brief changes accordingly.
YouTube
Content similarity, 500 nearest channelsHis neighbourhood stretches well past Fortnite — General Gaming 43.6%, VTubers 13.2%, short-form entertainment 7.4%. Long-form challenges, collabs and UEFN builds, with Shorts carrying the cutdowns.
The reach anchor — and the safe place to stretch.
Twitch
Sampled weekly chat — thin, directionalClose to pure Fortnite, overlapping the streamer cohort he already plays with. Live gameplay, community events, and challenges where chat sets the rules.
The depth surface, not the reach surface.
His most gaming-core audience, carrying the 11.3× Fortnite signal. Native clips and Reels built on recognisable moments, with brands embedded in the content rather than posted beside it.
Where fit matters more than format.
How we measure this
The numbers. Over-indexes from measured Instagram liker overlap — the share of SypherPK's sampled likers who also engage with a community or brand, divided by what chance predicts given audience sizes. Sample: 13,970 filtered likers. The seven communities shown are significant at α=0.01; the growth communities carry a smaller measured toehold.
Three different measurements. Instagram is measured audience overlap. YouTube is content similarity between channels — a proxy for audience, not a measurement of it. Twitch is co-occurrence in a sampled week of chat, on a thin sample. They are never compared directly.
What this can't tell you. It doesn't measure purchasing, demographics, loyalty, or whether someone plays two games. Overlap means the same people engage with both accounts — nothing more. Engagement is likes only.
Brands at chance. A brand at 1.0× has no measured affinity here. That doesn't mean it can't work — only that the case would rest on reach rather than fit.