Linkedin Sales Navigator Alt

作者 onewave-aifc5b7851a6c7無授權條款325 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫6 天前更新

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.

僅含說明Marketing & Sales
AI 產生的概覽

以公開資料建立合格的 LinkedIn 潛在客戶名單,涵蓋 ICP、人物輪廓、潛在客戶評分與活動手冊。

功能
引導代理執行六步開發流程:定義理想客戶輪廓、對應買方人物角色、擬定搜尋策略、蒐集並補充公開資料、為潛在客戶排定優先順序與分層,最後交付格式化的潛在客戶名單。產出是一份附有個人化背景、潛在客戶評分與可匯出資料的 Markdown 潛在客戶名單,並附上針對新到職、以客戶為基礎及活動後續追蹤等分層的活動手冊。內容也涵蓋辨識決策者,以及追蹤職務異動以進行暖場開發。
適用情境
當使用者需要尋找潛在客戶、建立開發名單,或在不購買付費 LinkedIn Sales Navigator 訂閱的情況下追蹤決策者異動時使用。適合依賴公開資料與分層開發活動的業務拓展工作。
執行需求
不含指令碼,僅有說明與參考文件。依賴 LinkedIn 上的公開資訊,並要求代理遵守 LinkedIn 的服務條款。參考文件涵蓋輸出範本、活動手冊、工具與匯出格式,以及範例。

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.

來源與署名

來源:onewave-ai/claude-skills位於linkedin-sales-navigator-alt提交fc5b785

授權條款: 無授權條款

內容歸原作者所有。SourceWeft 從公開儲存庫中收錄這些內容。

檢舉或申請下架