GTM Signals

Turn valid event signals into pipeline.

We capture the buying context behind each conversation, verify the evidence, and use AI agents to prepare account research and relevant follow-up. Sales owners approve the action and the CRM records what progressed, stalled, or was rejected.

Discuss event-to-pipeline GTM Strategy & Execution
Software GTM team reviewing event follow-up and qualified pipeline actions
Event-to-pipeline systemValid signals, structured evidence, agent-prepared follow-up, and accountable conversion.
Event conversion model

A badge scan is contact data. The buying context is the signal.

A usable event signal records what changed, why it matters now, which role owns the consequence, and the next decision. That evidence governs priority, message, ownership, and follow-up.

Event conversion architecture

Convert an observed buyer signal into an owned commercial decision

A badge scan records attendance. The system also captures the buying context, tests its validity and prepares relevant follow-up for the accountable owner.

  1. 01 · CaptureValid event signal

    What changed, who said it, when it matters and the agreed next decision

  2. 02 · VerifyConversation evidence

    Structured notes, account fit, role relevance and source attribution

  3. 03 · CorrelateAccount context

    Existing relationship, active opportunity, relevant stakeholders and timing

  4. 04 · PrepareAgent-assisted follow-up

    A concise account brief, relevant proof and an evidence-based draft

  5. 05 · ApproveSales owner

    Accept, edit, reject or reroute before the message or CRM action proceeds

  6. 06 · LearnCohort conversion

    Measure accepted handoffs and pipeline movement by signal and account tier

GTM foundationMarket · ICP · Position · Offer · Proof
AI accelerationMonitor · Research · Correlate · Prepare
Commercial managementOwnership · Acceptance · Conversion · Decision age · Loss reason

What the event conversion system contains

  • • Valid-signal fields: source, timing, buying implication, role, and next decision
  • • Agent-assisted account research, evidence checks, and follow-up preparation
  • • Named approval, routing, suppression, and follow-up SLA rules
  • • Weekly conversion review by signal type, account cohort, and owner

Related case study

Event‑to‑Pipeline Motion for a Software Provider

Events generated conversations, but contact volume obscured which accounts had a current reason to act. Notes, follow-up ownership, and attribution varied by rep. We defined valid event signals and source requirements, used agent assistance to prepare account context and follow-up, and established named approval and cohort conversion review from conversation to pipeline.

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