The problem it solves
Every list has waste in it. A Sales Navigator search for “Head of Sales, 50 to 200 employees, UK” returns people who changed jobs last month, people at companies that will never buy, consultants with the title but no budget, and a good number of profiles that simply don’t match what you sell. Sending the same sequence to all of them is how a campaign ends up with a poor acceptance rate and a LinkedIn account on the naughty step. In our own testing, verified ICP fit plus a subject-matter match took reply rate from 13.0 percent to 51.9 percent, a fourfold difference and the largest effect we have measured.
The fix isn’t a better list. It’s a gate between the list and the send button.
What the filter does
Before Prospectio sends anything, it reads the full profile: headline, current role, experience, company page, recent posts and activity. It then scores the prospect against the ICP you described when you set up the campaign. A typical rubric looks like this:
- Decision maker or strong influencer for what you sell
- Correct department (Sales, Marketing, Ops, whatever you’ve set)
- Company size and industry within range
- Pain points visible in their posts or role description
- Tech stack signals, where the profile or company shows them
- A connection in common, which lifts acceptance rates
- Not in any excluded category you’ve set
Each prospect gets a score out of the rules you set and a one-line reason. Strong fits go into the sequence with a personalised opener built from what the filter found. Weak fits are skipped and logged so you can see what was excluded and why.
Why this changes the numbers
Two things happen when you stop messaging poor fits.
First, the people you do message are more likely to accept and reply, because the opener is about something real on their profile rather than a token-merged first name. That is the difference between a 20 percent acceptance rate and a 45 percent one.
Second, LinkedIn’s account-health signals improve. Ignored and declined invitations are one of the clearest signs of spam from LinkedIn’s side. Fewer of those means fewer restrictions. This is a large part of why Prospectio users run at higher daily volumes safely than people using blast tools.
How it looks in practice
You import a list from LinkedIn Search, Sales Navigator or a CSV. Prospectio runs the filter over it and shows you the split: strong fit, marginal, skipped. You can override any decision. Then the sequence starts, but only for the people who passed. The opener for each one references what the filter found, whether that’s a recent post about hiring SDRs or a move from a competitor.
What it isn’t
It isn’t a data enrichment tool. It doesn’t find email addresses or phone numbers (though it will use verified emails you supply for the email steps). It’s a qualification layer that sits between your list and your outreach. If you already use Clay, Apollo or a data provider for lists, Prospectio picks up where they stop.