Ten yes/no questions about a prospect or target account. Score determines how well the prospect fits a serious B2B outbound campaign — and where to invest more research before reaching out.
Designed for: B2B SaaS, agency services, consulting, recruiting. Adapt the questions to your context.
How to use the score
8-10 points (Excellent fit): Top of queue. AI personalization gets full attention — reference 2–3 specific things from the prospect's profile and recent activity. Multi-channel sequence (LinkedIn + email + WhatsApp).
6-7 points (Solid fit): Standard treatment. Single-source AI personalization (one specific reference). LinkedIn-first sequence with email follow-up.
4-5 points (Marginal fit): Sequence but don't bump. If they don't reply within the standard cadence, archive.
0-3 points (Poor or wrong fit): Don't reach out. Refine your ICP definition before adding more weak-fit prospects to the queue.
Why ICP fit matters more than volume
Most outbound underperformance comes from sending to wrong-fit prospects, not from sending too few messages. A queue of 100 weak-fit prospects produces 3 meetings (3% positive-reply × 50% reply-to-meeting); a queue of 50 strong-fit prospects produces 6 meetings (12% × 70%). Same effort, double the result — just from filtering harder upfront.
The ICP fit checker forces the upfront filter. For a deeper ICP refinement workshop.
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