Part of Run Your Full Go-to-Market With AI
Marketing Blueprint
Automate GTM With Engineering and Metrics
GTM automation with code, lean founder playbooks, and GTM metrics and dashboards.
What problem does this solve?
Operationalizes GTM through automation and metrics instead of treating operations as a manual function. Most GTM processes remain manual and unmonitored, creating bottlenecks and opacity. This domain covers GTM automation workflows (n8n, Make, Zapier), lean tool stacks for solo founders, and GTM metrics (revenue latency, TTFV, attribution, pipeline per rep).
How does it work?
Use gtm-engineering to build automated GTM workflows (lead routing, enrichment orchestration, CRM sync, Slack alerts). Use solo-founder-gtm to design a lean tool stack and prioritize where to focus limited time. Use gtm-metrics to instrument your pipeline with measurements (revenue latency, time-to-first-value, pipeline per rep, data health) so you can optimize what you measure. These skills interconnect: automation runs the workflows you design, metrics tell you what to optimize next.
Included Skills
No skills in this group
What's required to run this?
Gtm-engineering assumes access to automation platforms (n8n, Make, Zapier) and CRM APIs. Gtm-metrics benefits from BI tool integration (Looker, Tableau, Metabase) but can be built in spreadsheets at small scale. Solo-founder-gtm focuses on tool efficiency rather than technical complexity.
Key Features
gtm-engineering
GTM automation with n8n, Make, Zapier, instruction stacks, AI agent orchestration, API-first stack design, and workflow examples.
solo-founder-gtm
$50-450/mo lean tool stacks, AI agent teams as org, taste as moat, hiring decision frameworks, and revenue stage playbooks.
gtm-metrics
Revenue latency, time-to-first-value (TTFV), pipeline per rep, data health scoring, attribution models, and GTM dashboards.
Tools in this Blueprint
About This Blueprint
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