Use your LinkedIn network for prospecting

Overview

Use your LinkedIn network for prospecting when your best next opportunities may already sit inside your existing connections. This playbook is broader than a single qualification pass. It treats the LinkedIn export as a reusable prospecting source, helps you find warm-path rows worth revisiting, and creates a cleaner bridge from passive network data to active outbound planning inside Cockpit.

Import your LinkedIn connections into Cockpit, surface overlooked warm-path opportunities with AI, and turn an existing network into a prospecting pipeline.

Step-by-step process

1. 1

   Treat the LinkedIn export as a sourcing asset, not just a backup

   This playbook starts in the same place as the qualification page: LinkedIn's Data Privacy settings. But the goal is different. Here, you are not only trying to score a batch of rows. You are turning your existing LinkedIn network into a reusable source of warm-path prospects.

   That framing matters because many operators overlook the value of existing network data. The export gives you a practical way to move from scattered relationships inside LinkedIn toward a structured prospecting sheet you can revisit whenever a new campaign starts.

2. 2

   Import the connection data with enough context to judge fit later

   Create a spreadsheet from the CSV source and keep the useful connection fields visible. In the video, the operator explicitly calls out that LinkedIn returns a lot of data and that all of it can be interesting, which is a clue that this workflow benefits from richer source context rather than a minimal import.

   A good result at this step is a sheet where each row can be read as a small prospect record. If you strip out too many fields too early, you make the later shortlist weaker and harder to verify.

3. 3

   Use AI to surface warm opportunities inside the network

   Add an AI answer column to identify which connections deserve a second look. The example offer in the video is SEO services, with the target persona described as heads of marketing, GTM people, and founders. That creates a first-pass shortlist without forcing manual review of every single connection.

   The value of the AI step here is speed and coverage. Even if you already know parts of the network well, the spreadsheet gives you a consistent pass across all rows so the warm opportunities are easier to compare and prioritize.

4. 4

   Convert the matches into a real warm-path shortlist

   Run a small sample first, then use the resulting positives to build a more focused segment. This is where the workflow stops being a raw import and becomes a prospecting system. Instead of treating the entire network as equally valuable, you create a shortlist of rows that seem worth follow-up now.

   That shortlist is useful because it gives you a better starting point than fully cold list building. The connections may still need real outreach work, but they sit closer to your existing orbit than net-new accounts from a broad source.

5. 5

   Activate the shortlist with messaging or sequences

   The video suggests two next actions after the shortlist appears: generate first outreach messages or take the matched rows into Cockpit's sequence builder. That makes this page more about network activation than about the scoring mechanic alone.

   If you want a repeatable warm prospecting motion, this is the step that matters most. The network is no longer just a list of past connections. It becomes a living source you can re-evaluate, segment, and turn into campaigns as your offer or targeting changes.

Key outputs