Build targeted prospect lists by analyzing LinkedIn profiles, extracting job titles, companies, locations, and recent activity. Identifies decision-makers, tracks job changes for warm outreach, and enriches contact data. Use when users need to find prospects, build lead lists, or track decision-maker movements.
Scanned 9/8/2026
Install to Claude Code
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---
name: linkedin-sales-navigator-alt
description: Build targeted prospect lists by analyzing LinkedIn profiles, extracting job titles, companies, locations, and recent activity. Identifies decision-makers, tracks job changes for warm outreach, and enriches contact data. Use when users need to find prospects, build lead lists, or track decision-maker movements.
---
# LinkedIn Sales Navigator Alternative
Find and qualify prospects on LinkedIn without expensive subscriptions, using only publicly available information.
## Contents
- `references/output-template.md` — full prospect-list Markdown structure and section layout
- `references/campaigns.md` — segmented campaign playbooks (new-in-role, account-based, event follow-up)
- `references/tools-and-export.md` — contact-finding methods, tool stack, CSV/CRM export formats
- `references/examples.md` — trigger phrases, example request, best practices
## Compliance
Work only with publicly available information and respect LinkedIn's Terms of Service. Encourage official LinkedIn tools where appropriate. Aggregate public data for legitimate business development only.
## Workflow
1. **Define the Ideal Customer Profile (ICP).** Capture industry/sector, company size (employees, revenue), geography, tech stack, and funding stage.
2. **Identify decision-maker personas.** Map the primary buyer, influencers, the economic buyer (budget holder), and the technical buyer (evaluation team).
3. **Build the search strategy.** Set job-title patterns, company criteria, location filters, seniority level, and description keywords. Choose a list-building approach: account-based, role-based, industry-based, event-based (job changes, funding rounds), or geography-based.
4. **Collect and enrich data (public info only).** Compile name, title, company, size, location, industry, public activity, and shared connections. Verify company details, find contact information, add personalization context, and score lead quality. See `references/tools-and-export.md` for discovery and verification methods.
5. **Prioritize and segment.** Tag hot leads (recent job changes), warm leads (shared connections), and cold leads (no prior contact). Group by account for campaigns.
6. **Deliver the prospect list.** Format the output per `references/output-template.md`, attach relevant campaign playbooks from `references/campaigns.md`, and provide export-ready data per `references/tools-and-export.md`.
Deliver a targeted, researched set of qualified prospects with personalization context — not just a list of names. See `references/examples.md` for trigger phrases and best practices.
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