@gencreator/analytics

Audience Intelligence, Topic Compounding Index, and Return-on-Attention (ROA)

@gencreator/analytics delivers multi-channel creator intelligence that rejects vanity impressions in favor of high-intent audience resonance, algorithmic topic compounding, and multi-touch revenue attribution. Built on the Starlight Intelligence Protocol (SIP).

Core Capabilities

• 🕸️ Topic Compounding Index (TCI): Graph analysis of published essays and social threads to score interconnected domain authority and identify isolated dead-end content.
• 🎯 Return-on-Attention (ROA): Distinguishes hollow vanity reach from elite authority by heavily weighting bookmarks, deep comments, and qualified outbound clicks.
• 💳 Multi-Touch Revenue Attribution: Supports First-Touch, Last-Touch, Linear, and Time-Decay attribution models across multi-step conversion journeys.

Quickstart

import { CompoundingEngine, AttentionScore, AttributionEngine } from '@gencreator/analytics';

// 1. Topic Compounding Analysis
const report = CompoundingEngine.evaluateCompounding([
  {
    id: 'swarm-1',
    title: 'Autonomous Swarms',
    pillar: 'ai-architecture',
    referencedTopics: ['memory-1'],
    engagementVelocity: 1.5
  },
  {
    id: 'memory-1',
    title: 'Cognitive Memory Vaults',
    pillar: 'ai-architecture',
    referencedTopics: ['swarm-1'],
    engagementVelocity: 1.8
  }
]);

console.log(`Compounding Index: ${report.compoundingIndex}/100`);

// 2. Return on Attention
const roa = AttentionScore.calculate({
  impressions: 12500,
  views: 12500,
  likes: 420,
  reposts: 110,
  comments: 85,
  bookmarks: 230,
  clicks: 340
});

console.log(`Verdict: ${roa.verdict}, ROA Score: ${roa.roaScore}`);

License

MIT © Frank Riemer