Concepts
A practical vocabulary for connecting strategy, signals, execution, and learning.
Talk to an operatorOperating model
Who should we reach, and why now?
The intelligence layer that defines your market, ICP, buying committee, account tiers, and the evidence that makes an account worth attention.
ICP logic · account scoring · buying committees · message context
What should happen when a signal appears?
The decision layer connecting triggers to owners, channels, timing, and next-best actions so valuable signals do not disappear between tools.
Triggers · routing rules · sequences · human approvals
How does the motion stay healthy?
The control layer for data quality, workflow reliability, pipeline monitoring, and continuous improvement across the revenue engine.
Data hygiene · observability · QA · pipeline velocity
How does the market experience the strategy?
The execution layer where research, messaging, outbound, content, paid media, and sales actions become coordinated customer touchpoints.
Campaigns · AI agents · personalization · multichannel plays
Vocabulary
The connected operating model joining customer context, signals, plays, execution, and measurement. It is the system your team owns—not another interface they rent.
A repeatable chain: detect a meaningful change, evaluate fit and intent, choose a play, execute across the right channels, then learn from the outcome.
AI handles research, drafting, enrichment, and repetitive decisions while people retain control over judgment, relationships, exceptions, and brand risk.
Every campaign improves the next one because targeting logic, messaging evidence, objections, and conversion data return to the shared operating system.
A reusable response to a specific trigger. Each play defines the audience, evidence, decision logic, action sequence, owner, and success metric.
Automate only after an experienced operator has made the strategy explicit. Speed multiplies the quality—or the weakness—of the underlying decision.
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