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Lead generation

Lists, commenters, and filters: automating LinkedIn lead gen

Lead generation automation on LinkedIn is how the names get into the campaign. Uploaded lists, search filters, and commenters are three different inputs.

linkedin lead generation automation illustration

The list is the campaign

Automating lead generation on LinkedIn is not the same as automating the send. Generation is how people enter the bucket. If the bucket is a purchased CSV of titles, you have a list, not a signal. If the bucket is a saved Sales Navigator search you refresh, you have filters. If the bucket is people who commented on a competitor's post, you have a reason to write. Sequencers will happily run all three. Only one of them usually explains why the person should hear from you this week.

Teams skip this distinction because uploading a file feels like progress. It is progress for the send tool. It is not progress for the market. Measure the source: reply rate by origin (CSV versus filter versus commenters) after two weeks. Kill the source that produces polite ignores.

CSV

A list you already had

Filters

Title, geo, headcount. A query.

Commenters

A reason to write this week

How names enter the bucket decides whether the first note has a reason to exist.

Filters are a craft

Sales Navigator and LinkedIn search let you combine title, geography, company headcount, and other fields. That craft is real. It is also how people build lists that look precise and still miss the buying moment. 'VP of Sales at 50 to 200 person SaaS in the US' is a query. 'VP of Sales who just hired two SDRs' is a moment. Filters will not always see the moment. Do not throw away filters. Do not worship them. Exporting a perfect Boolean into a sequencer does not make the Boolean a conversation. Sales Navigator is the paid search product. It still does not send the note for you.

Automation on top of filters usually means: rerun the search, drop new people into a group, de-dupe against who you already contacted. That is a fair use of software. Crawling search result pages at inhuman speed to capture everyone is the scrape version of the same idea. The second version is louder on the account.

Measure reply rate by source after two weeks
SourceWhat you actually have
Purchased CSVTitles. Not a moment.
Saved searchA query you can rerun
CommentersA post you can cite
Measure reply rate by source after two weeks

Commenters are a reason

Someone who commented on a post about a problem you solve has done you a favor: they raised their hand in public. Automating the capture of those names (post URL in, people out) is a finder job. The message should mention the post, not a generic ICP line. If you cannot see the comment, you do not have the reason. Do not pretend a commenter list is 'intent' in the marketing-ops sense. It is a warmer cold than a title dump. It is still outreach.

Volume still matters. A viral post can throw thousands of names. You will not write a good note to thousands this week. Cap the intake. Quality of comment (a real sentence versus a pile of emojis) is a filter a human can apply faster than most models.

What not to automate in generation

Do not scrape emails off profiles and drop them into a cold email tool as if LinkedIn were a data vendor you licensed. Do not auto-add every connection's coworker. Do not treat 'viewed my profile' as a buying signal worth a sequence by itself. Lead gen automation should make the next twenty names better, not make the CRM larger. If the CRM is already a graveyard, stop generating until you can say why the last fifty were in there.

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