SIGNAL
Intelligence-Driven Content Methodology
01
Phase 01
Intelligence
Research
  • Identify target artist demographic — age, geography, platform behaviour, cultural touchpoints
  • Content Formula — hook format, visual treatment, caption structure, sound selection
  • Target Formula — primary demo (age/gender/location), secondary overlap audiences
Data Sources
Cultural Intelligence Computer Vision Chartmetric 4,000+ Accounts Analysed 90-Day Performance Window
250,000+ posts tracked across a rolling 90-day window to reverse-engineer viral hooks, pacing patterns, and visual treatments
Computer vision models analyse every frame — not captions, not hashtags. What's literally in the pixels. NLP extracts hooks, CTAs, narrative structures, audio design patterns.
RPI = (Engagement Rate ÷ Account Baseline) × (1 + Viral Coefficient) · Statistical threshold: p < 0.05 · Min. 50 posts per format
Outputs
  • Content Formula doc — format, hook, visual, audio, caption template
  • Demographic profile — primary + secondary audiences with platform-specific behaviour map
  • Competitive content audit — what's working for comparable accounts
02
Phase 02
Accounts
Owned Channel
Artist pages + curated genre/culture network pages — warm-up → scale → full velocity
Amplification
UGC → OWNED
  • Cross-tagging — tag/mention/stitch owned content → algorithmic lift
  • Story reposts — repost owned content → direct traffic
  • Comment seeding — engage owned comments → boosts rate
  • Audience funnel — UGC followers migrate to owned
Intelligence
OWNED → UGC
  • Trend surfing — formats tested on UGC before owned commits
  • A/B testing — 20+ variations on UGC; winner goes to owned
UGC Channels
1,000–5,000+ UGC accounts — seeded, managed, optimised per vertical
Content Types
  • Organic Content — human-created, culturally native, platform-specific formats
  • AI Content — AI-assisted volume production: thumbnails, captions, format variations at scale
Cadence: 3–5 posts/day per account, timed to algorithm preference windows
WARM-UP: Days 0–30 — establish cadence, build algorithm trust, no aggressive tactics
SCALE: Days 30–90 — increase frequency, activate UGC amplification, target 4–7% WoW growth
FULL VELOCITY: Day 90+ — full network coordination, cross-account amplification live
03
Phase 03
Network Intelligence
Audience Analysis
  • Core audience profiling — age, gender, geography, platform behaviour, cultural affinities
  • Cross-channel audience overlap analysis — identify migration patterns and shared audiences
  • Engagement quality scoring — distinguish genuine vs passive engagement across the network
Network Dynamics
Posting Time Optimisation Geo-targeting Strategic Collaborations Location Tagging Story Amplification Repost Chains Hashtag Clustering Sound/Audio Trends
Intelligence Outputs
  • Weekly network performance report — top formats, engagement rates, growth velocity
  • Audience migration map — which UGC accounts are driving owned channel growth
  • Format decay tracking — when a format peaks and when to rotate
  • Format half-life: 14–21 days average before engagement decay triggers rotation
  • Sound trend identification — audio going viral 48–72 hours before peak, enabling early positioning
04
Phase 04
Intelligent Mapping + Distribution
  • Content mapped to audience segment — right format to right demographic at right time
  • Cross-network scheduling — coordinate posting across owned + UGC accounts to create volume effect
  • Coordinated posting windows — owned channel posts first, UGC amplification within 2–4 hours
  • Volume effect: 100+ accounts posting related content in the same 24-hour window creates algorithmic clustering
  • Content sequencing — series formats tested across UGC before committing to owned channel
  • Platform-specific optimisation — Instagram Reels vs TikTok vs YouTube Shorts treated differently
Feedback Signal
Real-time performance data (views, engagement rate, saves, shares, follower conversion) feeds directly back into content formula and distribution logic. Underperforming formats are rotated out within 48 hours.
05
Phase 05
Test / Iterate
  • Statistical significance testing — minimum 50 posts per format, p < 0.05 threshold
  • Format A/B testing — 20+ variations per content type tested simultaneously across UGC network
  • Velocity tracking — week-over-week growth rate monitored per account and per format
Core Learnings Feed Into
  • Paid amplification trigger — when organic format hits 2× baseline engagement, flag for paid boost
  • Paid ads amplification — top-performing organic formats repurposed as paid creative (zero production cost)
  • Attribution model: multi-touch, first/last weighted — connects content format to follower growth, streaming lift, ticket sales
  • Bi-weekly intelligence report — top formats, growth velocity, audience shifts, format recommendations
  • Content formula refinement — winning hooks, visuals, and structures fed back into Phase 01
  • Artist strategy — streaming push timing, release windows, playlist targeting informed by network data
Loops to Phase 01
Proof of methodology — Warner Records UK deployment:
131K followers · 200M+ views · $3.4M EMV · $0 ad spend