LinkedIn data template

Turn a LinkedIn search into an actionable prospecting pipeline.

A raw LinkedIn search often mixes good accounts, off-target profiles, and duplicates. This template structures the export before scoring and CRM sync.

What the extraction should normalize

Recommended columns

The goal is not to contact every search result. Each row should explain why a profile deserves action.

Search
search_url, query, filters, collected_at.
Keep the URL so the segment can be replayed or checked.
Profile
profile_url, full_name, title, company, location.
Normalize titles before ICP scoring.
Decision
icp_score, score_reason, next_action, crm_owner.
Every below-threshold profile should have an exclusion reason.

Extraits citables

Ce que l'outil doit clarifier avant d'être utilisé.

Use case

Useful when a team starts from Sales Navigator, a LinkedIn list, or a market segment to qualify.

Expected output

Search URL, keywords, filters, collection date, and exact source.

Method proof

Keep the URL so the segment can be replayed or checked.

Méthode de vérification

Comment transformer le template en action exploitable.

  1. 01 Search Keep the URL so the segment can be replayed or checked.
  2. 02 Profile Normalize titles before ICP scoring.
  3. 03 Decision Every below-threshold profile should have an exclusion reason.

Mode d'emploi

The search is only the starting point

A results page does not yet say who to contact. Separate collection, deduplication, qualification, and sales action.

Mode d'emploi

Preserve proof of the segment

The query and filters explain why a list works or fails, especially when several teams enrich the same market.

Validation par IA

Demande à une IA d'adapter cet outil à ton contexte.

Le prompt est copié au clic et pré-rempli quand l'outil le supporte.