The number you’re being asked about
Pipeline coverage. And the levers are usually: hire more reps, buy more data, or send more messages. All three cost money and the third one has stopped working, which is why reply rates across LinkedIn have been sliding for years.
There’s a fourth lever, which is raising the conversion of the activity you already run. That’s what this is.
Where the leak actually is
Three places, in order of size.
Wrong people. A meaningful share of most lists was never going to buy. Every message to those people costs a send, costs acceptance rate, and costs account health. The ICP filter reads each profile and skips them, so the same list produces more from fewer sends.
Wrong format. A text-only first touch replied at 28.8 percent in our testing, against 40.4 percent for a personalised video first touch. A thirty-second voice note or video in the rep’s own voice regularly clears 40 percent in our campaign data across 389,890 prospects and 15 controlled tests.
Slow replies. The gap between a prospect’s reply and the rep’s is where warm leads die. The auto-responder answers in minutes and books from the rep’s calendar.
Control and governance
Daily and weekly limits set centrally, below LinkedIn’s thresholds, so no rep can put their account at risk trying to hit a number. Shared sequences and approved messaging. Draft mode if you want nothing leaving without a human check for the first few weeks. Full visibility of every conversation in the team inbox.
What you’ll see in reporting
Per rep and per campaign: invitations sent, acceptance rate, reply rate, meetings booked, and which ICP segments convert. Everything writes to Salesforce, HubSpot or Pipedrive so it shows up in the same forecast as the rest of your pipeline.
Getting started
The onboarding call is with the founder, who ran sales development at Salesforce and Twilio. We build the first campaign with your team, on your ICP, and tell you honestly if the targeting or the offer is the actual problem.