๐ LinkedIn Search ยท 3 Practical Paths
LinkedIn Search is a customer database built on LinkedIn data. Use dimensions like keyword, industry, size, country to pinpoint your target customers fast.
๐ Entry: LinkedIn Search
๐ก No leads to start with / want to mine tens of thousands of peers from a single customer? Use the more mainstream AI Database (includes Find Similar + AI Inference). See AI Database ยท How to Search Massive Leads.
๐ Saved emails are managed in Contacts ยท bulk send runs through Email Bulk Send.
๐ฏ Pick by Scenarioโ
LinkedIn Search splits into 3 typical paths. Pick the one matching what you have on hand right now to start, then mix and match later:
Core workflow: Simple mode locates LinkedIn profiles โ extracts core feature keywords โ Advanced mode batch filters โ AI Lead Scoring refines and saves.
I. ๐ ฐ๐ ฑ Simple Mode ยท Feature Extraction and Initial Targetingโ
Simple mode fits searches for a small number of specific customers, or, early in lead generation, for extracting your target customer's "feature keywords" (main business, industry, etc.) โ providing the keyword foundation for later batch searches.
Pick the path that matches your lead situation:
๐ ฐ Scenario A ยท You Have a Seed Customer Websiteโ
Best fit: You have typical customers (existing / those who've sent inquiries / industry leaders) and want to analyze their LinkedIn page to find more of the same.
1. Extract Customer Feature Keywordsโ
- Open
LinkedIn SearchโSimple Mode(note: simple mode has no view function) - Enter the company domain of a known target customer in the search box (e.g.,
chelsom.co.uk)
- The system displays the customer's LinkedIn profile. Extract and record feature keywords from these three fields:
- Specialties: highest precision; the core extraction target
- Industry: defines the industry bucket
- Company description: usually long; a backup source for highly business-relevant keywords
1๏ธโฃ Specialties โ very important! ๐๐๐ 2๏ธโฃ Industry โ very important! ๐๐๐ 3๏ธโฃ Description โ backup! ๐๐
Log extracted keywords in a table for easier reuse.
2. Scale Out to More Similar Customersโ
Enter the extracted keywords and industry terms; customize search scope, country, and company size.
๐ธ Walkthrough:
- Qualified customers โ check and save contacts directly
- Unqualified customers โ blacklist manually, or create an AI Lead Scoring task to surface real matches before saving
3. Use "Find Similar" to Snowballโ
In the right side of the customer profile, click the Find Similar button. The system auto-matches and recommends a batch of similar potential customers based on that customer's features.
You can check and save directly, or keep extracting more feature keywords from these similar customers for the next search round. One seed snowballed into hundreds of thousands of leads works exactly this way.
๐ธ Walkthrough:
๐ ฑ Scenario B ยท No Seed, Only a Product Keywordโ
Best fit: Developing a brand-new market or category. Building a customer library from scratch.
1. Exact-Match Keyword Searchโ
- In
Simple Mode, enter keywords related to the customer's product / business - Check the Exact Match option below the search box (entire phrase matched as a unit, keyword order also matters)
- In the filters, restrict Industry and Country/Region to narrow the search scope and improve match quality
๐ธ Walkthrough:
- ๐ Fuzzy match (default): any word hit returns a result ยท wide range, noisy
- ๐ฏ Exact match (recommended): the full phrase as a unit + word order preserved ยท narrow range, high precision
Use exact match first when developing a new industry, then loosen up once you understand the landscape.
2. Two Options: Save Directly or Extract Featuresโ
Case 1 ยท Results are precise โ check and save contacts directly
๐ธ Walkthrough:
Case 2 ยท Results aren't quite precise โ pick 2-3 companies most aligned with expectations, open their pages, extract "Specialties" and "Industry" keywords as prep for an Advanced Mode search; or directly check the matching customers and save a small batch
๐ธ Walkthrough:
II. ๐ ฒ Advanced Mode ยท Batch Filtering and View Managementโ
When Simple Mode delivers limited qualified leads but you've accumulated some "feature keywords", switch to Advanced Mode for batch search.
Advanced Mode supports multi-condition filter combinations and lets you save them as custom views โ great for long-term management + cross-account reuse.
Keywords extracted from the UI are usually comma-separated (e.g., LED Display, Indoor Screen).
Before pasting them into the system, replace commas (,) with semicolons (;) (e.g., LED Display; Indoor Screen).
Copy-pasting one by one is tedious โ use an AI tool for one-click replacement, then bulk-paste into the field. The system auto-detects multiple keywords.
๐ธ Walkthrough:
1. Create a Filter and Fill in Keywordsโ
Paste the extracted "Specialties" and "Industry" keywords into the corresponding fields in Advanced Mode. Add other custom conditions and save as a view.
๐ธ Walkthrough:
2. Stack Constraints and Save the Viewโ
To further improve precision, stack these constraints:
๐ Country/Regionโ
Target the market (e.g., North America only, or exclude mainland China).
๐ฅ Company Size ยท Pick by Your Roleโ
Pick by your capacity โ SOHO shouldn't chase big customers, you can't deliver:
| Your role | Recommended size |
|---|---|
| ๐ง SOHO | 1 ยท 2-10 ยท 11-50 |
| ๐ข Small / mid foreign trade team | 51-200 |
| ๐ญ Large company sales | 201+ |
๐ธ Walkthroughโ
When done, click Save and Preview. Save filter conditions as a view (e.g., name the US market view "North America - LED Display - Mid-size Enterprise") for easier downstream filtering and management.
- Prioritize Specialties keywords โ the most precise! Keep Company description as a backup
- Specialties + Industry alone are usually enough to cast the net
- Too many noisy results โ add Company description as a constraint; range narrows, quality rises
III. ๐ค AI Lead Scoring ยท Refining High-Intent Leadsโ
No matter which mode you use, if more than 500 results show up, don't review them manually โ too slow.
Check the list โ top-right AI Lead Scoring button โ system auto-scores across 6 dimensions โ save the 60+ high-match leads in bulk.
โ Full guide: ๐ค AI Lead Scoring ยท How to filter noisy leads (4 scoring entries + 6 dimensions explained + 4 ways to save points)
1. Create a Scoring Taskโ
- In Simple or Advanced Mode search results (or a saved view), bulk-check candidate companies
- Click the AI Lead Scoring button in the top right and fill in the scoring settings
- When scoring finishes, open
Batch Scoring Tasks, filter for scores โฅ 60, click Save Contacts to add to your library
2. View Scoring Results and Saveโ
Entry: Search Engine โ Batch Scoring Tasks (a record of all AI Lead Scoring history)
Settings example:
When configuring tags, pick "Ignore new tags" โ
Otherwise one email may stack multiple tags, leading to over-marketing.
๐ค FAQ & Pitfall Guideโ
1. Why are there so few linked customers in the filter results?โ
A: LinkedIn Search links customers strictly by your "filter conditions" โ only profiles that include the keywords you set get pulled.
๐ Solution: If you only extract keywords from 1 customer's LinkedIn, of course the linkage is small! Add more target customers on LinkedIn โ keywords expand, and linked counts grow.
๐ก Use the "Find Similar" function to lock in more samples without effort.
๐ธ Walkthrough:
2. Learning Tipsโ
- ๐ก Learn by doing ยท Open Laifaxin right now, jump into LinkedIn Search, and follow this article step by step
- ๐ฏ Combine filters ยท Combine keyword, industry, country, company size โ precision multiplies
- โ Save and follow up ยท For potential customers, save emails promptly and use Email Bulk Send for first outreach
๐ Related Readingโ
- ๐ AI Database ยท How to Search Massive Leads โ Main battleground: one-prompt search delivers 10,000 leads, plus AI Inference + Find Similar killer features
- ๐ AI Lead Scoring ยท How to Filter Noisy Leads โ Batch-score 10,000 leads to lock in the true high-match ones
- ๐ Email Bulk Send โ How to bulk-send to your saved customers
- ๐ Glossary โ Universal Points / Match Score / AI Lead Scoring / Find Similar ... 8 core concepts
๐ Permalink: https://laifa.xin/zhinan/linkedin-customer-search