The difference between an outbound campaign that books meetings and one that gets ignored is rarely the message. It is who the message went to. Decision-maker targeting on LinkedIn comes down to four steps.
Step 1. Define the decision-maker profile
Decision-makers are role-specific. For a developer tool, the buyer is usually VP/Head of Engineering. For a finance app, CFO. For B2B SaaS prospecting, Head of Growth or VP Sales. Before you open LinkedIn, write down:
- Job title patterns (3-5 variants of the same role)
- Seniority floor (Director? VP? C-level?)
- Department (Engineering, Sales, Marketing, Ops, Finance, HR)
- Company size range where this title actually has budget authority
Step 2. Search by Boolean
LinkedIn's title search supports Boolean operators. Use them. Instead of searching "VP of Engineering" you search:
("VP of Engineering" OR "Head of Engineering" OR "Engineering Director" OR "VP Eng" OR "Director of Engineering")
Combined with your geo filter (city, country) and current company filter, this returns a much cleaner list than Sales Navigator's drop-down approach. The LinkedIn Boolean search guide covers the operators in detail.
Step 3. Cross-reference with company size
The same title is a decision-maker at one company and a junior IC at another. Use this rough heuristic:
| Company size | Likely decision-maker |
|---|---|
| 1-50 | Founder, CEO, CTO |
| 50-200 | VP / Head of [function] |
| 200-500 | VP, sometimes Director with budget |
| 500-2,000 | Director or Sr Director with budget line |
| 2,000+ | Sr Director or VP. Often a buying committee. |
Adjust by industry. In tech, VPs have real authority earlier. In banking, you need the C-level even at smaller orgs.
Step 4. Extract the shortlist, not the long list
Common mistake: extract 1,000 names and send to all of them. Better: extract 100 highly targeted names, then narrow further by activity.
Filter the CSV by:
- Posted in the last 30 days (Leadsforlinked surfaces this as the last activity column)
- Mutual connections (warm intros convert 4x better than cold)
- Industry match (cross-check the company industry tag against your ICP)
End state: a list of 30-50 people who are the right title, at the right size company, in your geo, who are active on LinkedIn this month. That is who you message.
Bonus: signal-based targeting
Decision-makers who recently changed jobs, got promoted, posted about a relevant pain point, or whose company raised funding are 5-10x more likely to engage. Leadsforlinked's signal scraping surfaces those in real time. See the job-change signal extraction guide.
Sources & further reading
- LinkedIn Sales Blog . Modern B2B buying journey . confirms that 6-10 stakeholders are involved in average B2B purchases.
- Gartner . B2B buying journey research . context on buyer committees.
- LinkedIn Boolean search operators . official syntax reference.
Frequently asked questions
What counts as a decision-maker on LinkedIn?
Someone with budget authority for your product category. The exact title varies by industry and company size.
How do I find them without Sales Navigator?
Standard LinkedIn search with Boolean operators handles most B2B targeting. Add Leadsforlinked extraction and you have a complete workflow.
How recent should their last activity be?
Posted or commented in the last 30 days. They are active on the platform and far more likely to respond.