Signal monitors cultural conversations across TikTok, YouTube, Twitch, Reddit, and more — and turns them into structured strategic analysis you can act on.
The problem
Cultural relevance drives commercial results — but most teams are flying blind. Social listening tools count mentions. Trend reports arrive too late. Instinct can't be validated. And follower counts tell you nothing about the audience that actually shows up.
What Signal does
Signal aggregates content volume across all monitored platforms into a single cultural volume score — with a per-platform breakdown showing exactly where the conversation lives. Not just what's being talked about, but at what scale.
Cultural Mass
Volume of cultural conversation by entity
Nike
94
Red Bull
81
Supreme
67
Spotify
58
New Balance
44
Gravity
Audience-pulling power · bubble = view reach
Gravity measures audience-pulling power — percentile-ranking topics within a defined scope. A topic that "punches above its weight" has low volume but commands a massive audience when it appears. These are the underpriced cultural investments most teams never find.
Youth Culture maps the creator ecosystem around any topic — with average concurrent viewer data, not follower counts. A creator with 2M followers but 800 average concurrent viewers is not who your client should be partnering with.
Youth Culture
Creator ecosystem · avg. concurrent viewers
Emma Chamberlain
Fashion / Lifestyle
2.4M
YouTube
Alix Earle
Beauty / Culture
1.1M
TikTok
Kai Cenat
Culture / Comedy
84.3k
Twitch
Who Decides War
Streetwear / Fashion
610k
Zach King
Lifestyle / Branded
890k
TikTok
Real audience data · not follower counts
All lenses
How much cultural conversation exists?
Aggregates content volume across all monitored platforms into a single score, with per-platform breakdown showing exactly where the conversation lives.
How much audience does it pull when it appears?
Percentile-ranks topics by audience-pulling power within a scope. Low volume but massive reach = underpriced cultural investment.
Who are the creators, and how big are their real audiences?
Maps the creator ecosystem with average concurrent viewer data — not follower counts. Surfaces creators your team hasn't heard of yet.
Where does each entity have its widest audience footprint?
Total reach by entity split by platform, showing which channels command the biggest audiences for each topic.
Is this topic trending up or cooling off?
90-day trend view using 7-day rolling averages of daily cultural activity. Know what's rising before it becomes obvious.
Is conversation sustained or just a spike?
Measures how much engagement older content (30+ days) still generates. The difference between lasting cultural resonance and a one-week trend.
How much fan-created content exists around this topic?
Quantifies the volume of fan content and creator activity — a 0–100 productivity index that measures cultural effort around a topic.
What topics and communities sit alongside this entity?
Maps the cultural neighbourhood — topics, creators, and communities that appear alongside each entity, sized by reach and engagement density.
What cultural ground do multiple entities share?
Identifies shared topics, creators, and communities that connect entities in your scope — revealing crossover audiences and partnership opportunities.
Where in the world is this conversation happening?
Multi-platform geographic interest distribution using real-time search grounding. See which markets are culturally active and which are dormant.
The process
What brand, topic, or cultural territory do you want to understand? Signal starts with a strategic question — 'How relevant is this brand in gaming?' or 'Which creators are driving this topic?'
Signal monitors conversations across platforms and runs your scope through ten analytical lenses — pulling real audience data, content velocity, and creator intelligence simultaneously.
Structured, lens-by-lens output that tells you where culture is, who's driving it, and what the data means for your decisions. Clear enough to share directly with a client.
Who it's for
Internal marketing teams
Replace guesswork with cultural data. Know exactly where your brand stands.
See how brands use Signal →Cultural strategy agencies
Scale cultural research across clients without scaling headcount.
See how agencies use Signal →Independent strategists
Enterprise-grade cultural intelligence at independent scale.
See how freelancers use Signal →Built on evidence
Signal is built on the principle that audience attention — not mention volume — is what drives commercial outcomes. Every metric is grounded in real behaviour: actual concurrent viewers, not follower projections; content velocity, not post counts.
The framework reflects the Ehrenberg-Bass tradition of evidence-based marketing: measure what audiences actually do, not what platforms claim they'll see.