Only reach the leads that actually fit
Define your ideal customer profile once, and Outboundry's AI scores every lead against it from 0–100 before enrolment. Leads below your bar are skipped automatically, so your sends, credits and reputation go only to people worth reaching.
Define fit once, score every lead forever
Build an ICP group
Describe your ideal customer with weighted attributes: job title, seniority, industry, company size, location and your own custom fields.
AI scores each lead
The AI matches every lead's real data to your attributes and the engine turns those matches into a consistent 0–100 score, with a reason for each.
Only matches enrol
Set a minimum score on any campaign and leads below the bar are skipped before a single message, or credit, is spent.
Stop spraying. Start scoring.
Blasting a whole list burns credits, tanks deliverability and annoys the wrong people. ICP scoring keeps your outreach pointed at the accounts that can actually become revenue.
Describe your ideal customer, attribute by attribute
Build an ICP group from the fields that matter: job title, seniority, industry, company type and size, location, plus custom attributes like tech stack or team size. Weight each one by how much it counts.
- Rich attribute library + custom fields
- Exact or lenient matching per attribute
- Low / medium / high weighting
Every score comes with its reasons
The AI doesn't just spit out a number. It grades each attribute as an exact, strong, partial, weak or no match, and tells you why in plain English. You always know exactly why a lead scored the way it did.
- Five clear match levels per attribute
- A one-line reason for every match
- Handles synonyms & messy titles automatically
Consistent, weighted, never a black box
The AI normalises messy data into match levels; the engine does the maths. The same lead against the same ICP always scores the same, with weighting so your most important attributes move the needle most.
- Deterministic, same inputs, same score
- Weighted so priorities count more
- Hard filters exclude off-target leads outright
Set a minimum score and let low-fit leads fall away
Turn on the ICP check for any campaign, pick a group, and drag a single slider. Leads that don't clear your threshold never get enrolled, protecting your credits, your domains and your reputation.
- One toggle per campaign at add-leads
- Choose which ICP group to score against
- Set the minimum score with a slider
A profile for every segment you sell to
You don't sell to just one type of buyer, so build as many ICP groups as you need. Score the same list against different profiles, and point each campaign at the group that fits.
- Unlimited saved ICP groups
- Reuse a group across many campaigns
- Version & archive as your targeting evolves
Better fit means better everything
Every lead you don't waste outreach on is credits saved, deliverability protected and reply quality lifted. ICP scoring quietly makes every other part of your outbound work harder.
- Spend AI & sending credits only on real prospects
- Protect domain reputation from bad-fit blasts
- Higher reply quality feeds a cleaner pipeline
ICP Scoring questions, answered
What is ICP Scoring?
Which attributes can I score on?
How is the score calculated?
Can I see why a lead scored the way it did?
How does it gate a campaign?
Can I have more than one ICP?
Reach the right leads,
skip the rest
Define your ICP once and let AI score every lead against it, so your campaigns, credits and reputation go only to the prospects worth reaching.
Join 1,000+ teams running smarter outbound on Outboundry.