Fit vs. Intent: Should We, and Is Now the Moment?

By the Puetto team · Updated 2026

7 min read

Fit and intent answer two different questions about a target account. Fit asks "should we sell to this account at all?" — how closely it matches your ICP. Intent asks "is now the moment?" — whether the account is actively researching your category and showing signs of being in-market. Strong account prioritization keeps the two separate and combines them deliberately, because an account can be a perfect fit and completely dormant, or red-hot and a terrible fit.

Conflating them into one number is among the most common scoring mistakes: you lose the ability to tell why an account is ranked highly, and therefore what to do about it. This article draws the distinction and shows how to act on each combination. It expands the intent and fit inputs of the account scoring model.

What each one measures

Fit is built from the stable attributes of an account: firmographics (industry, size, geography, business model) and technographics (the tools it runs). It is slow-moving and predictive of long-term value — the underlying criteria are detailed in firmographic, technographic, and behavioral criteria explained. Intent is built from behavioral signals that suggest an account is in-market now: surges in third-party research, relevant hiring, trigger events, and first-party engagement. It is fast-moving and predictive of timing. Intent data comes from providers such as Bombora, G2 Buyer Intent, 6sense, and Demandbase.

The core idea: fit is about whether; intent is about when. Both are necessary. Fit without intent gives you a great list with no sense of urgency; intent without fit chases activity that will not convert.

The four quadrants

Scoring fit and intent independently produces a simple 2×2 that maps directly to action:

Scoring fit and intent separately keeps the four actions distinct — a single blended score hides them.

High fit / high intent — pursue now. Your priority-one accounts. Route to sales immediately with a 1:1 or 1:few play.
High fit / low intent — nurture. Great accounts not in-market yet. Keep them warm and watch for an intent spike that promotes them.
Low fit / high intent — usually decline. Activity feels like opportunity, but a poor-fit account rarely becomes a good customer.
Low fit / low intent — ignore. Not your market. Spend nothing.

How to weight them

Because fit predicts value and intent predicts timing, most B2B teams weight fit somewhat more heavily in the overall score — but the right split depends on your sales motion. A high-velocity, transactional motion may lean harder on intent; a complex enterprise motion with long cycles leans on fit, because the wrong logo wastes a year. The reliable approach is to back-test both weightings against your closed-won data and let the evidence decide, the same way you validated the profile in validating your ICP using closed-won data.

How this feeds tiering

The fit/intent quadrant interacts with tiering: a high-fit / high-intent account with a large, complex buying committee is a natural Tier 1 (1:1) target, while a cluster of high-fit / moderate-intent accounts in one vertical is a natural Tier 2 (1:few) play. How those bands are sized and resourced is covered in ABM account tiering, and the 2×2 maps cleanly onto the point bands in the 100-point scoring rubric.

Keep both scores live. Fit changes slowly — re-check when an account's firmographics or stack shift — while intent changes weekly, so refresh it on a short cadence. The combination, refreshed and acted on, is what keeps your target list pointed at the right accounts at the right time, feeding the rest of the ABM strategy framework.