Hello {{First Name | founders}}!
Welcome to ‘Tactical Tips’ by Jerel and Shuo at DECODE, where we cover one new idea to help you build and grow your startup – every week in <5 minutes!
Today, we’ll be answering the question: “How to define ideal customer profile (ICP)?”
And here’s advice inspired by Michael King, GTM and product marketing partner at a16z, who also built and ran full-stack marketing teams for companies like VMware and IBM.
If you are still identifying who might use or buy your product, today’s newsletter is for you.
Many founders assume product-market fit means they’ve nailed their ICP. But early traction can come from story, virality, or brute-force selling and not repeatable fit.
🔥 Inside this issue:
✅ 3 tactics for a well-defined ICP
✅ 2 traps to avoid
✅ 1 tool to leverage
👇Let’s dive in.
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3 tactics for a well-defined ICP
📏 Have specific and measurable qualities
Ensure absolute clarity across the following areas:
Company size (e.g., 1,000–5,000 employees) or revenue range
Type of business (e.g., B2B SaaS, e-commerce)
Geography (e.g., country, region, specific language)
Industries served (e.g., manufacturing, government, banks)
Job titles (e.g., engineering manager, social media manager)
Company specifics that define your problem statement (e.g., sales over Zoom, design focused, cost focused, developer led)
Specific technologies used (e.g., a cloud data warehouse, GitHub)
Unique buyer behaviors (e.g., only use specific messaging platforms or information sources)
Has a problem that is defineable and solvable (e.g., works in the cloud and needs to connect across clouds)
Avoid generalizations or vague answers (e.g., mid-size companies or enterprises that use computers)
👂 Conduct listening tours with customer cohorts
Interview both successful and lost customers and answer:
Which customers get the most out of the product?
What traits do the best customers share?
What objections are there from lost customers?
Who’s easiest to upsell and why?
What do competitors’ customers have in common?
Look for patterns in good-fit customer profiles—and antipatterns in poor-fit ones
🔄 Continuously refine the ICP
ICP changes over time—market, product, and customers evolve with growth
Product enhancements may unlock new use cases or capabilities (E.g. adding features for 10k+ seats can shift focus from SMB to mid-market or enterprise)
Ask: Do expanded product capabilities open access to new markets? If yes, revisit the ICP
2 traps to avoid
🚨Mistaking Annual Contract Value (ACV) as a good fit
Best-fit customers = fast revenue growth, high lifetime value, short sales cycle and high retention
Big logos ≠ best customers
High ACV doesn’t always indicate long-term success—some may be outliers or one-off wins
🚨Treating ICPs and personas as interchangeable
ICPs defines which businesses to target; personas define how to engage stakeholders within those businesses
Use personas to help anticipate potential blockers in sales process—not to define the market
Building sales strategy around personas instead of ICP risks targeting the right people in the wrong companies
1 tool to leverage
📖 Best practice on identifying ICP
A well-defined ICP is uncomfortably narrow—so specific that others might think it’s crazy to build something so niche
Leverage tools like Keyplay to identify and prioritize ICP accounts
Bonus: 1 trend to spark startup ideas
📈 AI is 10x bigger than the cloud boom, with AI agent economy being the next frontier
Software alone was a $400B market. AI is going after both software and services at the same time—2 huge markets
With 5.6B people online and instant distribution via platforms like Reddit, X, and TikTok, AI is now mainstream—deployed across industries and matching Reddit in engagement
Individual AI tools are evolving into agent networks that collaborate, reason, and complete tasks autonomously
The emerging agent economy will act like a real market—agents will trade value, track trust, take action, and communicate seamlessly
Three core tech challenges remain:
Memory — agents must remember users and past interactions
Communication — protocols like TCP/IP for AI networks
Security & Trust — new models for identity and safe agent interaction
Startup Knowledge Check
Hint: Read our past newsletter on how to nail customer onboarding.
Continue learning
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