The guide
How to find good B2B prospects on LinkedIn
First Person Outbound, explained by SimplyB2B
LinkedIn has the most accurate, self-maintained database of professional roles on the internet. The hard part is not finding names, it is finding the right names, knowing what to say, and keeping the outreach going without the whole thing eating your working week. This guide covers the targeting logic, the filters that actually matter, and the mechanics of turning a list into real conversations.
Key takeaways
- Start with role and company-size filters before any keyword search, seniority and headcount predict fit better than job-title keywords alone.
- A warm prospect is someone who has already signalled intent, a post engagement, a mutual connection, a profile view, not just someone who matches your ICP on paper.
- Your connection note should read like a real first sentence from you, not a template, the goal is a reply, not a pitch.
- Boolean search cuts a bloated results page down to a qualified shortlist without needing a paid tool.
- The grind of daily outreach is the real conversion killer, a fixed-ceiling, per-account system keeps activity consistent without requiring you to show up for it every morning.
Who should I be targeting for B2B outreach on LinkedIn?
Target the person who feels the problem your product solves, not just the person who signs the contract. In a company with fewer than 200 employees that is usually the founder or a functional head. In larger businesses it is the director or VP one layer below the C-suite, who owns the budget and lives with the pain daily.
Start with three filters: company headcount, seniority level, and geography. These three alone eliminate the majority of irrelevant profiles before you read a single job title. A CFO at a 12-person startup and a CFO at a 4,000-person enterprise have almost nothing in common as buyers, so treat them as separate audiences from the start.
Once you have a filtered pool, look for secondary signals inside the profile: recent job changes (within the last 90 days), posts about a problem you solve, or a company that has just raised funding or hired aggressively. These signals do not guarantee fit, but they raise the probability that outreach lands at a moment when the person is open to change.
Define the ICP
Headcount, seniority, geography first, titles second
Filter and qualify
Boolean and native filters narrow the pool, manual scan removes edge cases
Identify warmth signals
Post engagement, profile views, mutual connections
Draft a first-person note
One sentence, specific, no pitch, built from your own writing
Send, track, follow up
Fixed daily ceiling keeps activity safe and consistent
Reply becomes conversation
You take over, the system keeps the pipeline topped up
How do I use LinkedIn search filters to build a prospect list?
LinkedIn's native filters, People, Current company, Geography, Industry, Seniority level, are enough to build a first-pass list for most B2B searches. Sales Navigator adds company headcount, role tenure, and recent activity filters, which sharpen the list without requiring Boolean strings. Use filters to set the outer boundary, then scan titles manually to remove obvious mismatches.
A common mistake is searching by job-title keyword first. Titles vary wildly across companies, one business calls the role 'Head of Growth', another calls it 'Commercial Director', another just uses the founder's name. Filtering by seniority level and function catches all three. Keywords become more useful as a negative filter: if your product is not right for agencies, add '-agency' to the search string to remove them.
Keep your initial list tighter than feels comfortable. A list of 200 well-qualified profiles outperforms a list of 2,000 marginal ones every time, because the message you write for a tight audience will be specific enough to generate a real reply. Broad lists produce broad, forgettable outreach, and that is the grind nobody wants to repeat.
What is Boolean search on LinkedIn and does it actually help?
Boolean search lets you combine keywords with AND, OR, and NOT operators directly in LinkedIn's search bar. It is most useful for narrowing an over-broad keyword result or excluding irrelevant roles. A search like 'Head of Sales OR Sales Director NOT Recruitment' removes a large category of mismatches without requiring a paid filter.
Boolean logic is most valuable when a role has many valid titles and you need to catch all of them, or when one keyword pulls in a noisy category you want to exclude. It is not a replacement for the structural filters, headcount, seniority, geography, it is a layer on top of them. Use it to tune the edges of a list you have already bounded with filters.
The honest ceiling of Boolean search is that it operates on titles and keywords, not on behaviour or intent. Two people with identical titles can be completely different buyers. Boolean gets you a cleaner starting pool, the qualification still happens when you read the profile and decide whether to reach out.
How do I find warm prospects instead of cold lists?
A warm prospect has already interacted with your world before you contact them: they liked or commented on a post you or a close connection made, they viewed your profile, or you share a mutual connection who can make a brief introduction. These micro-signals matter because they lower the social cost of a cold message and raise reply rates meaningfully above a pure cold list.
The most reliable source of warm prospects is your own post activity. When someone comments on a post you wrote, they have self-selected as an audience member for that topic. Reaching out within a day or two with a message that references the post is not cold outreach, it is a continuation of a conversation they started. This is one reason that consistent posting on LinkedIn is not a vanity exercise, it is a prospecting mechanism.
Mutual connections are the other high-value warmth signal. A shared first-degree connection does not automatically mean the prospect trusts you, but it gives you a concrete opener and a name to reference. If that mutual connection can send a one-line message before you reach out, the reply rate climbs further, not because of any tool, but because human trust still transfers through networks the way it always has.
What should my outreach message say?
A good connection note is one sentence that shows you read their profile, names a specific thing you noticed, and asks nothing. No pitch, no deck link, no 'I'd love to connect and share how we help companies like yours.' The goal is a reply, not a conversion. A reply is a conversation, a conversion can come from a conversation.
The mechanism behind a message that sounds like you is simpler than most people expect: it is built from what you have already written. SimplyB2B's voiceprint is seeded from your own sent messages and LinkedIn posts, not a questionnaire, not a shared language model. When the system drafts a connection note for a new prospect, the phrasing, sentence length, and natural qualifiers come from your own prior writing on that account. The result is a draft you recognise as yours, which you can approve or edit before anything goes out. Edits you make train only your voiceprint, so the drafts improve toward your actual voice over time.
The grind of writing individual notes every morning is exactly the thing that stops consistent outreach. Most founders write well when they have time and energy, then copy-paste a template when they do not. That inconsistency is what makes outreach feel impersonal, not the volume. A system that drafts from your own voice means the message quality stays level whether you review it at 8am on a Monday or hand it off entirely once you trust the drafts.
How does AI-assisted prospecting on LinkedIn actually work?
AI prospecting tools identify accounts that match a target profile and draft outreach at volume. The mechanism that separates genuinely personalised AI outreach from generic automation is where the voice comes from: a per-account model trained on that user's own writing behaves completely differently from a shared language model that produces the same phrasing for every user on the platform.
Most AI outreach tools, 11x, Artisan, Waalaxy, lemlist, use a shared model or a questionnaire to approximate your voice. The output is plausible but not yours: the sentence rhythm is generic, the qualifiers are not ones you use, and an experienced buyer can feel the borrowed-face quality of it. SimplyB2B builds a per-account voiceprint seeded from your own sent messages and posts, so the drafts come from your actual writing history, not a template layered with your name.
The other mechanism that matters is the fixed daily activity ceiling. A ceiling that cannot be raised, combined with per-account behavioural timing variance, means no two accounts ever act in lockstep and no single account trips LinkedIn's automated activity detection. The warm-up ramp eases new accounts in gradually. These are not marketing claims, they are the structural constraints the system runs inside, and they are the reason account safety is a design choice rather than a disclaimer. You stay the expert, the outreach runs itself inside those bounds.
Common questions
Do I need Sales Navigator to find good prospects on LinkedIn?
No, but it helps for specific use cases. Free LinkedIn search covers seniority, geography, and industry. Sales Navigator adds company headcount, role tenure, and intent signals like recent job changes. If your ICP is defined enough that headcount is a key qualifier, the upgrade is worth it. If you are still testing who the right audience is, free filters are fine.
How many connection requests can I send per day without risking my account?
LinkedIn has not published a fixed limit, and the threshold has tightened over time. The safe approach is a warm-up ramp for new or low-activity accounts, a fixed daily ceiling well below what feels aggressive, and behavioural timing variance so activity does not look automated. There is no public number to cite honestly, anyone quoting a precise safe ceiling is guessing.
Is it worth posting on LinkedIn if I'm doing outreach too?
Yes, and not just for visibility. People who comment on your posts become warm prospects you can reach out to within context. Posts also build the writing history that a per-account voiceprint can draw from, so the more you have written in your own voice publicly, the more accurately any AI-assisted drafting reflects how you actually sound.
What is the difference between a prospect list and a lead list?
A prospect list is a set of profiles that match your ICP criteria, they look like the right kind of buyer. A lead is a prospect who has shown some signal of interest or intent: a reply, a profile view after your post, a download. Outreach converts prospects into leads, the list is just the starting pool. Treating every name on a filtered list as a lead is the fastest way to send impersonal, untargeted messages.
Related: How to do LinkedIn outreach · Why outbound at scale fails · First-person outbound: the model · AI SDR vs founder-led outbound · Own it or outsource it
See what your outreach could sound like
Start with a free Voiceprint read, no account connection needed, no card required.
Free to set up · pay only when you connect · 30 day money back guarantee