System 01

GTM Signal System

A durable signal backbone for product, marketing, and CRM data. Teams stop asking "which number is right" and start executing from one operating truth.

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The problem it solves

Your team has data. It does not have a shared truth.

Every system emits events. No single system owns them. When inputs conflict, the org defaults to whoever argues loudest, not whoever is right.

  • CRM fields drift from source-of-truth over time
  • Identity resolution breaks across product, marketing, and sales data
  • No one can explain why a score changed last Tuesday
  • Forecast debates start with "which number are we using?"
Signal health snapshot
Identity match rate 97%
Drift alerts open 3
Source confidence High
Review time reduction −42%
What we build

A signal layer your whole GTM org can execute from.

Core build

Unify fragmented inputs

Normalize account and contact signals from every critical system. Assign explicit ownership for each field that drives GTM decisions.

  • Canonical entity model with source precedence
  • Reason codes for every high-impact signal
  • Automated trust checks and drift monitoring
Decision impact

Increase confidence speed

Once trust is stable, teams reduce reconciliation time and make faster pipeline decisions with fewer internal debates.

  • Data disputes drop materially in first 60 days
  • Forecast prep time cut by 35–50%
  • Reps trust the queue and act on it
Governance layer

Explainable by design

Every signal change is logged with a reason code. Any leader can trace why an account was prioritized or deprioritized without asking RevOps.

  • Full field-level audit trail
  • Alert thresholds for unexpected drift
  • Clear escalation paths for data disputes
Why this comes first

Pipeline Execution and Agentic Operations both depend on trusted inputs. Without this layer, automation amplifies noise.

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How it gets built

Four phases, typically 6–10 weeks to stable operation.

Week 1–2

Audit current signals

Map all active data sources, identify identity resolution gaps, and flag the highest-conflict fields.

Week 3–4

Design entity model

Define canonical fields, source precedence rules, and ownership assignments across systems.

Week 5–7

Implement and validate

Deploy the signal layer in your stack, run reconciliation checks, and validate against real pipeline data.

Week 8–10

Stabilize and hand off

Monitor for drift, tune thresholds, document decision logic, and transfer operational ownership.

Start here when your GTM team does not trust its own inputs.

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Once signal is stable, see what Pipeline Execution unlocks.

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