Signal · cultural intelligence
See what culture actually looks like.
Signal monitors live cultural conversation across TikTok, YouTube, Twitch, Reddit and five more platforms, and turns it into strategic analysis you can act on. Real audiences. Real attention. Not surveys.
How Signal works
Ten lenses.
One cultural picture.
No competitor in the space does live multi-platform cultural-signal aggregation at this depth. Each lens is a different way of asking the same question. What is culturally alive in my category right now, and where is it headed?
Scope
The conversational territory around an entity. How big the room is, who's in it.
Mass
Total cultural weight. Volume × engagement × distribution breadth.
Momentum
90-day acceleration vs prior period. The slope, not just the value.
Intensity
Emotional density per signal. How loaded the conversation is.
Decay
365-day half-life curve so spikes don't masquerade as trends.
Labour
Who's doing the talking. Audience UGC vs brand-paid vs reaction layer.
Gravity
Pull factor. Which signals are absorbing adjacent attention.
Youth Culture
Generational origin tracing. Where the signal first surfaced and aged.
Adjacency
Topic-adjacency graph. What your brand sits next to in real conversation.
Overlap
Audience-overlap Jaccard matrix. Who else your audience is paying attention to.
Inside a Signal output
A scope comes back
as a structured read.
Lens reads come out the other side as brief-ready answers, not raw data. Here's an actual output for competitive gaming, with the four most-cited lenses below the headline finding.
Scope · live
Competitive gaming
8 platforms · 90d window · updated 4h ago
Esports tournaments sit in the top 3% of cultural gravity for under-24 audiences, with a 0.72 audience-overlap into League of Legends. The pull factor is creator-led: five streamers account for 96.7k concurrent viewership, two of whom dominate the conversation outside Twitch.
Mass · Platform breakdown
Sample dataGravity · Percentile rankings
Sample dataPercentile = rank within scope. 97.2 means top 3% pulling power.
Overlap · Entity affinity matrix
Sample dataOverlap score (0–1): higher = more shared cultural audience
| Esports | LoL | Mobile | Ninja | |
|---|---|---|---|---|
| Esports | 1.0 | 0.72 | 0.45 | 0.61 |
| LoL | 0.72 | 1.0 | 0.31 | 0.54 |
| Mobile | 0.45 | 0.31 | 1.0 | 0.18 |
| Ninja | 0.61 | 0.54 | 0.18 | 1.0 |
Top shared affinities
Youth Culture · Creator ecosystem
Sample dataProcess
From a strategic question
to structured analysis.
Define your question.
What brand, topic, or cultural territory do you want to understand? Start with a strategic question, not a keyword.
Signal collects and analyses.
Conversations across eight platforms get pulled in and run through the four lenses (Mass, Gravity, Overlap, Youth Culture) in parallel.
Get structured analysis.
Lens-by-lens output: how much conversation exists, who it reaches, what connects the topics, and which creators are driving it.
Sources & integrations
Eight platforms, live.
Ad accounts on the roadmap.
You've got the intelligence ·
Now act on it.
Signal's analysis feeds directly into Canvas, where the planning workflow turns cultural data into strategic proposals, media plans, and content calendars, all in one board.
See how Canvas works →Canvas · planning
Brief in. Proposal out.
Risk-graded strategy picker, media role planning, content sparks, and an exportable proposal, built on Signal's data.
See Signal
in your category.
Book a 30-minute walkthrough. We'll run a live scope across your audience and show you the four-lens output on the spot.