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
Black Friday offer: 25% off, already applied. A year of CXL, January cohort included.
From CXL, trusted by 90,000+ marketers at companies like these:
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.
Black Friday offer: 25% off, already applied. A year of CXL, January cohort included.
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.
Marketing Engineer: eight-week cohort, starts 11 January
Live Tuesdays, 3 PM UTC, to 9 March. With Diane Wiredu, Ann Smarty, Tyler Durman and Nick Christensen. Included in the annual plan.
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