AI native marketing | Online course: AI for account-based marketing
Replace your static account lists with an AI system that finds, scores, and personalises outreach automatically
Instructor: Steve Armenti
Former Google employee and founder of marketing agency twelfth, responsible for generating over $2 billion in marketing-sourced pipeline.
Modernize your ABM with AI. Surface the right accounts, write the outreach, and tailor your message.
- Use AI to mirror your best customers and find lookalike accounts
- Segment and prioritize targets based on fit, timing, and triggers
- Keep your ABM list fresh with automated monthly updates
- Gain key insights about each account using AI research tools
- Generate personalized messaging that lands perfectly
Trusted by marketers at
High-fit account lists used to take weeks to build. AI builds them from your best customers overnight.
This cohort is a focused sprint to modernize your ABM motion using AI. You’ll learn how to build high-fit account lists based on your actual customers, use AI to uncover insights that drive relevance, and personalize messaging across the channels that convert. It’s not theory – it’s workflows, tools, and tested templates that reflect how winning teams break into accounts in 2025.
Part 01: From CRM to search criteria
Start extracting CRM data – such as buying patterns – and turn it into ICP signals for targeting. Every step ties back to lowering CAC and targeting accounts that convert.
- How to prep your CRM export for AI analysis
- Which fields correlate with pipeline and ACV
- Run the pattern-recognition prompt
- Interpret conversion signals
- Translate findings into actionable ICP filters
Part 02: Lookalike list and scoring
Your ICP signals become a target account list built for activation. Lookalike accounts are built, enriched, cleaned, and scored with an AI-assisted ABM model, turning raw market data into a prioritized, revenue-aligned TAL for campaigns.
- Convert search criteria into a lookalike crawl
- Enrich, validate, and clean accounts
- Use AI to run account scoring
- Assign tiers (T1/T2/T3) for pipeline impact
- Align your list with sales before activation
Part 03: Personalization and orchestration
The scored TAL becomes a coordinated ABM program across ads, email, and sales touchpoints. Messaging artifacts, persona guidance, and stage-specific AI instructions turn one account strategy into aligned, channel-ready assets.
- Extract pain-point signals from your segments
- Build messaging artifacts using AI
- Generate persona-specific content
- Set up multi-threaded, multi-channel sequences
- How to keep all touchpoints consistent and high-fit
Meet your instructor
Steve Armenti is a former Google employee and founder of marketing agency twelfth, responsible for generating over $2 billion in marketing-sourced pipeline.
Join our next AI native marketer cohort
Six weeks. Five working workflows. Starts 29 September 2026.
Get set up for AI native workflows
Build your AI workspace: VS Code and Claude wired together, plus your first Claude skill running on your own work.
Marketing Brain
Build a GitHub context repository: your ICP, positioning, voice and proof, wired into Claude Code and n8n via MCP.
Campaign engine with a quality gate
Build a workflow: one brief in, a full campaign out (emails, social, sequences), with sources and a brand voice check.
AI visibility and AI-era measurement
Build a share-of-model baseline: how often ChatGPT, Gemini and Perplexity name you, AI traffic in GA4, pages to write.
Marketing insight and reporting agent
Build an agent that reads your ad platforms, GA4, CRM and email, then posts a weekly summary: what changed, what to do.
Company Marketing Brain
Build the context system customized for your team: one versioned source every AI tool draws from, plus a rollout plan.
Build one AI native workflow every week that you use at work.
You build a context brain your AI draws from, a campaign engine with a quality gate, an AI search visibility baseline, a weekly reporting agent, and the team version of the brain.
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