AI native marketing | Online course: ICP Modelling and targeting with AI
Build an AI-powered ICP scoring system that turns raw account data into pipeline
Instructor: Eric Linssen
Growth Lead @ Keyplay
AI is redefining ICP targeting. If you are still stuck using manual personas, static segments, and spray-and-pray lists, this is for you. A system to build a dynamic ICP model on buying signals, and the ABM plays to activate it.
- Build a modern ICP model using firmographic, technographic, and behavioral data
- Use AI to score and prioritize accounts that are in-market
- Identify target accounts using tools like Keyplay, Clay, and your CRM
- Launch ABM campaigns with precision. No more wasted ads or SDR time
- Get templates to test, refine, and activate your ICP fast
Trusted by marketers at
Static ICPs lose deals. Dynamic ones, scored on real buying signals, find the accounts that are ready now.
The old playbook is broken. Static firmographics and gut-feel personas don’t work. The best teams right now use AI to spot real buying signals, build dynamic ICPs, and focus only on accounts that have a high chance to convert.
This course is a focused sprint to define your ICP and activate it using AI-powered targeting and ABM plays.
Part 01: Building the ICP engine
Before you can activate an ICP, you need to prove who belongs in it. Customer data, market signals, and AI-assisted analysis become a scoring engine that defines your best-fit accounts, ranks your market by fit, and gives Sales and Marketing a shared model for deciding where to focus.
- Why ICPs are the foundation of B2B performance
- How to build an ICP model and map your TAM
Part 02: ICP Modeling Methodology
Once the ICP engine shows which accounts deserve focus, the next step is turning that model into action. Scored accounts become tiered GTM plays, budget decisions, coordinated campaigns, and executive reporting that shows where the market opportunity is, how much has been penetrated, and which accounts are moving through the pipeline.
- Account engagement: Turning your ICP into action
- Account measurement and reporting
Join our next AI native marketer cohort
Six weeks. Five working workflows. Starts 28 September 2026.
4PM CEST / 9AM CDT / 2PM UTC
Marketing Brain
You buildA context system on a GitHub repository: your ICP, positioning, voice and proof, wired into Claude Code and n8n via MCP, which connects AI to your tools.
It replacesPasting context into every prompt, and the generic drafts that come back when you don’t.
4PM CEST / 9AM CDT / 2PM UTC
Campaign engine with a quality gate
You buildAn automated workflow: one brief in, a full campaign out (emails, social, enablement, sequences) with sources and a brand voice check before it ships.
It replacesThe generic first draft, and the reviewer who catches what AI made up.
4PM CEST / 9AM CDT / 2PM UTC
AI visibility and AI-era measurement
You buildA share-of-model baseline, how often ChatGPT, Gemini and Perplexity name you, plus AI traffic grouped in GA4 and a citation-gap list of pages to write.
It replacesThe SEO specialist’s monthly report, which misses where buyers now shortlist.
3PM CET / 9AM CDT / 2PM UTC
Marketing insight and reporting agent
You buildAn agent that reads your ad platforms, GA4, CRM and email, then posts one weekly summary: what changed, why it matters, what to do about it.
It replacesThe weekly report you build by hand, and the analyst who explains it.
4PM CET / 9AM CST / 3PM UTC
Company Marketing Brain
You buildThe same context system customized for your team: one versioned source every AI tool draws from, with permissions and a rollout plan.
It replacesEveryone’s private prompts, and the colleague who knows where the answer lives.
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.
Meet your instructor
Eric Linssen is the Growth Lead at Keyplay and co-founder of Demand Collective. He specializes in building data-driven ICP models and leveraging AI to transform account targeting and ABM strategies. Eric is known for turning complex GTM challenges into clear, actionable workflows that drive real pipeline.
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