InfluenceLogic Intelligence Stack

How data flows from the source system to decisions in the field

LAYER 1

Data Foundation

The single source of truth. Every deal, every creator, every brand, updated continuously.

Trinity Collection Validated

Unified deal + creator + performance database. 14K+ deals across 23 brands. Updated daily.

Pipeline State Validated

Stage transitions, CRD movement, cost changes captured as an event stream.

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LAYER 2

Deterministic features and scores computed from the raw data. No AI. Same inputs, same outputs.

Creator Profiles Validated

~4,000 creators with full deal history, audience sentiment, realized CPM, rebuy signals.

Deal Scoring Validated

Six-dimension scoring on every deal: performance, quality, fit, risk, efficiency, trend.

Content Scoring Validated

87 transcript features across 15 vocab sets. Measures disclosure, hook quality, CTA strength.

Pipeline Health Validated

Stage distribution, stall detection, forecast vs actual at the portfolio level.

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LAYER 3

Where deterministic scores become narrative intelligence. What happened, why, and what to do next.

Deal Synthesis In Validation

Per-deal narrative: what worked, what didn't, key moments, lift opportunities.

Creator Synthesis In Validation

Per-creator profile synthesized across all their deals: signature style, strengths, weaknesses, trend direction.

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LAYER 4

Purpose-built reasoning layers that turn the stack into a recommendation. Each one answers one question.

Pricing Agent In Validation

Answers: what should we pay for this deal? Approve, lower, or pass with reasoning (applies recommendations to deals).

Pipeline Agent Validated

Answers: where is the pipeline stuck and what should the team focus on this week?

Coaching Agent In Validation

Answers: which creators should each IPM focus on, and what's the specific ask?

Validated Running in production In Validation Tested on small samples, ongoing QA before full rollout

Prepared by Ryan Manahan · InfluenceLogic