ICP & Market Research Alignment
Sharpen who you sell to, backed by real data and senior judgment.
Most marketing pain is ICP pain wearing other clothes. We run a senior, AI-assisted research and segmentation process that identifies the customers who actually convert, expand, and refer, then aligns the marketing motion around them so every channel works harder.
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What you get
Data-Driven Segmentation
Quantitative analysis of your CRM, pipeline, and win/loss data to identify the profiles that actually perform.
Qualitative Insight
Customer interviews, sales call analysis, and review mining to surface real language, real pain, and real triggers.
Market Sizing
Bottom-up TAM and SAM modeling grounded in defensible data sources and realistic penetration assumptions.
Competitive Landscape
Clear-eyed positioning maps that surface actual differentiation, not marketing theater.
ICP work without us vs. with us.
A 40-slide deck that everyone agrees with, and no one uses on Monday.
- Surface-level personas built from a few sales calls and gut feel
- Static deck that goes stale the moment the market shifts
- Messaging team and SDRs interpret the ICP three different ways
- No system to refresh research as the segment moves
A living ICP system the whole revenue team actually operates from.
- AI-aided buyer interviews and signal mining grounded in real data
- ICP definition tied to firmographics, intent, and disqualification rules
- Living research the SDR, marketing, and CS teams pull from continuously
- Quarterly refresh loop that catches segment drift before it costs pipeline
What we build together
- ICP scoring model and tiering framework
- Buyer and influencer personas with language patterns
- Market map and competitive positioning document
- TAM / SAM / SOM model
- Marketing prioritization recommendations
Marketing, content, and AI workflows pointed at the same customers, with proof.
Book a Discovery CallQuestions buyers ask about ICP & Market Research Alignment
The objections we hear most often before a discovery call, answered up front.
A full engagement typically runs 4 to 6 weeks: data analysis, customer interviews, segmentation, and rollout. You'll see early signal in the first two weeks as patterns emerge from the data.
Read access to your CRM, win/loss notes, ad and analytics data, and a list of customers we can interview. Most clients are surprised how much insight is already sitting in their own systems.
Typically 12 to 20 across customers, churned accounts, and lost deals. That's enough to surface the language patterns and decision triggers without dragging the project out.
An ICP scoring model wired into your CRM, persona language patterns marketing and sales can copy from, a TAM/SAM/SOM model, and a rollout plan to align teams around the new targets.
The Manifest.
Field notes from a fractional CMO building real AI inside revenue teams. Sent only when the insights matter, no noise.
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