Before a company can commit to a fixed Ideal Customer Profile (ICP), a more basic question has to be answered first: who is the target audience in the first place? Target audience analysis is exactly that earlier step, broader in scope than a finished ICP, but just as necessary before the first campaign or the first call happens.
In this article, we cover what target audience analysis means in a B2B context, which methods you can use to run one, and how it sets up the transition to a clearly defined ICP.
What Is Target Audience Analysis in a B2B Context?
Target audience analysis systematically examines which companies, and which people inside them, could plausibly be customers at all: which industries, which company sizes, which problems, which buying patterns. Unlike a finished ICP, target audience analysis is still exploratory. It provides the data foundation a precise ICP is later built from, but it isn't itself a finished filter you can use for day to day list building yet.
Target Audience Analysis vs. ICP: Where the Line Falls
The two terms are often used interchangeably, but they describe different levels of maturity on the same question. Target audience analysis asks: who could plausibly fit? The ICP answers the sharper question: who fits best, provably, and how can you tell from the outside? If you haven't defined an ICP yet, start with target audience analysis. We cover exactly how to systematically derive an ICP from this foundation in our guide to defining a B2B ICP.
Methods for B2B Target Audience Analysis
Analyzing Your Existing Customers
The most obvious starting point is your own existing customers, if you already have some. Which industries, company sizes, and roles show up most often among paying customers? Which customers stay the longest, which churn the fastest? Even a small customer base already gives you real patterns, and those are more reliable than any assumption.
Market Data and Firmographics
Where few or no existing customers exist yet, external market data gives you your first orientation: industry size, company distribution by headcount, growth rates of individual segments, tech stack adoption. Tools like Clay, LinkedIn Sales Navigator, or industry directories help turn a vague idea ("growing software companies") into a number based picture: how many companies actually meet this criterion, and where are they located?
Competitive Analysis
An often underrated lever is analyzing which customer segments your competitors actually serve, visible publicly through case studies, customer logos, or job postings. That shows you where demand is already proven, which segments might be oversaturated and where a niche is still open.
From Target Audience Analysis to ICP: The Next Step
Target audience analysis ends where the patterns you've gathered turn into concrete, measurable filter criteria: "growing companies" becomes "20 to 500 employees with a funding round in the last 12 months." That shift from broad analysis to sharp filter is exactly what an Ideal Customer Profile does. We cover the full process, including the five concrete steps, in our guide to defining a B2B ICP.
Frequently Asked Questions
What's the difference between target audience analysis and an ICP?
Target audience analysis is the broader, exploratory first step: who could plausibly fit? The ICP is the result of that work, a precise, measurable set of criteria that defines who fits best, provably.
How often should you repeat a target audience analysis?
A full target audience analysis usually isn't a recurring exercise, it's the one time first step before ICP definition. Once an ICP exists, it's typically enough to review that ICP regularly instead of repeating the entire target audience analysis, unless your business model or market changes fundamentally.
Conclusion: Target Audience Analysis as a Foundation, Not a Formality
A clean target audience analysis is the foundation every later ICP builds on. Skip this step and start prospecting on vague assumptions, and you're building on sand. If you want to systematically analyze your target audience and derive a sharp ICP from it, talk to our team.
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Nicolas Schell is co-founder and CEO of Scalantec. Before Scalantec he worked at McKinsey and Celonis. Today he and his team build outbound and RevOps systems for B2B companies, and he organizes Clay Club Berlin.