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.
The next AI native cohort
One week. Three working workflows. Starts 10 November 2026.
Marketing Brain
One document every AI tool reads, so drafts start on brand.
Campaign engine
One brief in, a full campaign draft out, with sources you can check.
Reporting agent
A weekly summary of what changed and what to do next.
Build three AI native workflows you use at work, in a one-week sprint.
You build a marketing brain your AI draws from, a campaign engine that checks its own claims, and a weekly reporting agent.
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