The attribution problem
Every RevOps person recognises this. Email is tracked, calls are logged, ads have UTMs, and LinkedIn is a rep saying “I’ve been talking to them for a while”. When the board asks where pipeline comes from, the honest answer for the LinkedIn channel is usually a shrug.
That happens because logging LinkedIn activity is manual, and manual logging stops the week a rep gets busy.
What gets written back
Every step, automatically, with no rep involvement:
- Contact created or updated with LinkedIn URL, title, company and firmographics
- Connection request sent, and accepted, as timestamped activities
- Every message, voice note and video, with the content
- Replies with their full text and the responder’s classification: interested, question, objection, not now, not interested
- Meeting booked, as an event linked to contact, company and deal
- The ICP fit score and the reason, which is the one most tools do not give you
That last item is quietly the most useful thing here. Every prospect gets scored against your ICP before contact, and the score plus reason lands in the CRM. Six months later you can analyse which ICP attributes actually correlate with closed won, rather than guessing. That is a dataset most revenue teams do not have.
Governance
Daily and weekly activity limits set centrally, below LinkedIn’s thresholds, so no rep can put a company asset at risk chasing a number. Shared sequences and approved copy, which matters if you are in a regulated sector. Draft mode, where the tool writes and the human sends, for the first few weeks or permanently. Full visibility of every conversation in the team inbox rather than locked inside individual rep accounts.
That last point is worth dwelling on. When a rep leaves, their LinkedIn conversations normally leave with them. Here they are in the shared inbox and the CRM.
Stack fit
Prospectio does not want to be your data provider or your CRM. Lists come in from Clay, Apollo, Sales Navigator or CSV. Activity goes out to Salesforce, HubSpot or Pipedrive natively, and anywhere else through Zapier, Make or n8n with a full event stream.
What to check in a trial
Run twenty prospects through and then look at the CRM rather than the tool. If the contact records tell you the whole story without anyone having typed anything, it works. If you have to reconstruct what happened, it does not.