Free tool
ICP & targeting analyzer
Most outbound fails on targeting, not copy. Answer six quick questions and see how tight your B2B targeting really is — with your biggest gaps and how to close them.
Why targeting beats copy
You can write a great cold email and still fail if it lands with the wrong people. The teams that convert define a tight ICP, build verified lists from real-time research (not stale database exports), target buying signals, write in the prospect's language, and personalize per company. This tool scores you on each and shows what to fix first.
What each dimension is checking
ICP precision. A usable ICP is narrow enough that you can say who is excluded. "B2B companies that need more leads" is not an ICP; "Series A–B B2B SaaS in DACH, 25–150 staff, where the buyer is a VP of Sales" is. If your definition has no disqualifier rules, targeting is doing no work.
List source. Database exports age from the day they are sold — people change jobs and companies restructure continuously. Research done at campaign time beats a purchased list of any size, because relevance decays much faster than volume grows.
Verification. Sending to unverified addresses is the fastest way to damage a sending domain. Bounces are read by receivers as a signal about the sender, not about the list — the damage outlives the campaign.
Buying signals. Targeting a company because it fits your profile is table stakes; targeting it because something changed recently — a new hire in the buying role, an office opening, a product launch — is what makes an opener possible that could not have been sent last month.
Language. A market where the buyer works in their own language every day will answer in it. Where English is the working norm, native copy is an optimisation rather than a requirement — knowing which market is which is the decision this dimension scores.
Personalization. The question is not whether you personalize but at what level. Per-company beats per-segment, and both beat inserting a first name into an otherwise identical message.
The mistake this tool exists to catch
Almost every underperforming campaign gets diagnosed as a copy problem, because copy is the visible layer. Teams rewrite subject lines for weeks while the actual failure is that the list contains the right companies and the wrong people, or the right people at companies with no reason to care this quarter. Rewriting an email cannot fix a targeting error — it just makes the wrong message clearer.
The practical test: if you cannot name the specific thing that makes each prospect a good fit right now, the campaign is being carried by volume, and volume is the expensive way to buy replies.
What to do with a low score
Fix in this order: narrow the ICP until you can write disqualifier rules, then fix the list source, then add verification, then layer signals on top. Personalization and language come last — they multiply a good list and cannot rescue a bad one. When the targeting is right, the copy framework is what turns it into replies, and building an ICP and buyer persona covers the definition work in depth.
Frequently asked questions
What does the ICP analyzer measure?
It scores your targeting maturity 0-100 across the six things that decide whether outbound converts: ICP precision, list source, email verification, buying-intent signals, native language, and personalization depth — and shows your biggest gaps.
Is it free?
Yes — free, no signup. It runs in your browser and answers stay on your device.
What makes B2B targeting convert?
A tight ICP (5+ parameters), real-time verified lists instead of stale database exports, buying-intent signals, native-language copy, and per-company personalization — not just a first name token.