abm-1-to-many

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Execute Programmatic ABM (1-to-many) for 50-200+ accounts — automated personalization, scaled outbound, lookalike expansion. Triggers on: "1-to-many ABM", "programmatic ABM", "scaled ABM", "automated ABM".

AI & Automation 28 stars 11 forks Updated 1 weeks ago MIT

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Skill Content

# ABM 1-to-Many (Programmatic) ## Overview Programmatic ABM for 50-200+ accounts using automation, lookalike modeling, and scaled personalization. This tier uses the same methodology as 1-to-1 and 1-to-few but replaces manual effort with AI and workflow automation. ## Authoritative Foundations - **TOPO Programmatic ABM** — Named methodology governing recommendations in this skill's process. - **Clay Automation Patterns** — Waterfall enrichment, Claygent research, and table-based GTM automation. - **ITSMA — Account-Based Marketing** — Tier-based ABM (1:1 / 1:few / 1:many); measure pipeline from target accounts, not lead volume. ## When to Use - "Scale ABM to more accounts" - "Programmatic ABM setup" - "Automated account-based outreach" - "Expand ABM coverage without headcount" ## Step-by-Step Process ### Phase 1: Lookalike Expansion Start from Tier 1-2 winners and expand: - **ICP lookalike:** Find accounts matching your top 10% win profile - **Intent lookalike:** Accounts showing similar buying signals to closed-won - **Engagement lookalike:** Accounts engaging with content the way winners did pre-opportunity - **Trigger lookalike:** Accounts with same triggers (funding, hiring, tech change) ### Phase 2: Automated Account Intelligence Use enrichment and AI to auto-build briefs: - Clay workflow: pull firmographics, technographics, news, signals - AI summarizes: company snapshot, pain hypothesis, relevant proof points - Auto-prioritize: score accounts 0-100 and assign to ...

Details

Author
LeadMagic
Repository
LeadMagic/gtm-skills
Created
1 months ago
Last Updated
1 weeks ago
Language
Python
License
MIT

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