You filter for the job title, add a company size, add a country, and LinkedIn hands you four thousand people who match your ICP on paper and have never heard of you. Then you spend the week rewriting the connection note.
The note was not the problem. A filtered search tells you who somebody is. It tells you nothing about whether they are currently thinking about the thing you sell, and that second question is what decides whether they accept and then reply.
The short version
Lead generation on LinkedIn is a list problem before it is a message problem.
The platform holds several audiences that carry evidence of interest, and most B2B teams ignore them in favour of a title filter, because the title filter is the one every tool supports. Fix the source of the list and the rest of the funnel moves without you touching it.
Where B2B leads on LinkedIn actually come from
There are six practical ways to build an outreach audience on LinkedIn, and they are not equivalent.
| Source | What it tells you | What you can open with |
|---|---|---|
| Filtered search by title, size, geography | Who somebody is | Nothing specific to them |
| A saved search or saved audience | The same, reusable | Nothing specific to them |
| People who reacted to or commented on a post | What they were thinking about, and on what date | The post, and what they said about it |
| Registrants for a LinkedIn event | A subject they gave up an hour for | The event and its topic |
| Members of a group | Ongoing interest in a subject | The discussion actually happening there |
| Your own CSV of profile URLs | Whatever your own data knows | Whatever your own data knows |
The bottom four hand you a first sentence you could not have sent to anybody else. The top two do not, which is why the notes written against them all end up sounding the same.
A competitor’s popular post is one of the best lists on the platform, and it costs nothing. Two hundred people publicly raised their hand about a problem in your category, on a date you can name, and you can read what each of them said about it.
Job title is a permanent attribute. Buying is an event.
When you target by title you are betting that the attribute and the event overlap this quarter, and for most of your list they do not. That bet is invisible in your targeting and very visible in your acceptance rate, because the recipient can tell immediately that nothing about them prompted your request.
Evidence-based lists shrink the gap by choosing people who have already done something. Somebody who commented on a post about onboarding costs three weeks ago is not guaranteed to be in market, but the guess is a much better one, and you can say out loud why you are getting in touch.
Sales Navigator is a search tool, not a lead source
Every guide to this topic puts Sales Navigator in the top three, and it belongs there for what it does: more filters, saved searches that update, more InMail credits, and lead lists that flag when somebody changes job.
What Sales Navigator does not do is tell you who is in market. It gives you a better specified version of the same cold list, which means that if your acceptance rate on free search is already poor, Sales Navigator will not repair it. Our view is to fix the source first and buy the seat afterwards, because the seat is a recurring cost and the fix is free. What LinkedIn Sales Navigator costs has the current pricing if you want to make that call with the real numbers.
Posting is how you build the list, not how you collect the leads
Publish thought leadership sits in every article about this, and almost none of them say what the mechanism is.
The mechanism is this: a post’s value to outbound is the engagement list it produces. You are not posting so that a VP of Operations reads your carousel and fills in a form. You are posting so that the people who care about a specific problem identify themselves publicly, in a list you can then work.
Writing for the list changes what the post should say. Write it for the person you want to outreach, not for reach. A post that draws forty reactions from operations leaders at mid-market logistics companies is a far better instrument than one that draws four thousand from your own industry peers, and the second one is the post that feels successful. We would rather have the forty.
The weekly math that sets your ceiling
One number here is ours and the rest are yours to measure. Each LinkedIn account connected to Doreach starts at 80 connection requests a week, which is the ceiling everything else divides into.
| Cold title filter | Post engagers | |
|---|---|---|
| Requests sent per account per week | 80 | 80 |
| Acceptance rate | 15% | 35% |
| New connections | 12 | 28 |
| Reply rate on accepted | 15% | 30% |
| Conversations | 2 | 8 |
The percentages in that table are an illustration and not our data, so measure your own before you plan against them. The structure is the part worth taking: acceptance rate and reply rate multiply, so the same 80 requests against a better list does not produce a slightly better week. It produces four times the conversations.
The same arithmetic is why raising your weekly limits is the wrong first move. Sending 160 requests to a list that converts at 15% gets you more ignored invitations, and ignored and pending invitations are one of the things LinkedIn names as a reason it restricts accounts.
How this works in Doreach
When you create a campaign in Doreach you pick the audience source before you write a word of the sequence, and all six of the sources above are in that list, including post engagers, event attendees and group members. Audience sources covers what each one pulls and campaign types and sources covers how to build them.
Two things happen next that matter more than they sound. Prospects are deduplicated by LinkedIn profile URL across your whole workspace, so when your event list and your post-engager list overlap by sixty people, nobody gets contacted twice by two campaigns. And we refuse to launch a campaign whose message contains an unclosed merge tag, because that failure is invisible in the editor and very visible in somebody’s inbox.
Each connected account starts at 80 connection requests, 100 messages, 150 profile views and 25 InMails a week. You can see and change all four in the account’s Limits panel, along with what the account has used so far this week, and limits and pacing explains how they interact with campaign daily ranges and working hours. We show you the numbers before you connect an account rather than after, because a tool that will not tell you how hard it intends to work your account is asking you to trust it blind.
What we would tell you not to do
Do not buy a scraped list and import it as profile URLs. It is a cold title filter you paid for, with worse data quality and no reason to connect.
Do not test the channel with one campaign against a four thousand person search. You will conclude LinkedIn does not work for you, and what you will have measured is one bad list.
Do not raise the limits to compensate. A weak list at higher volume is the exact pattern that gets accounts restricted, and LinkedIn does not publish a universal safe number you can hide behind.
Do not judge a post by its reach. Reach is the wrong metric when the post exists to produce a list, and the metrics that actually matter for founder-led outbound makes the same argument for the rest of the funnel.
Start with one post
Find a post in your category from the last month with a hundred or more reactions, yours or somebody else’s, and build your next audience from the people who engaged with it. Run the same sequence you are running now, change nothing about the copy, and compare the acceptance rate against your last filtered-search campaign.
If the engagement list does not beat it by at least ten points, the problem really is your messaging, and the founder-led prospecting playbook is the better place to go next. In our experience that is not what happens.
