Sales Navigator filters that find buyers, and the ones that waste time

The filters that find buyers are the ones that describe a situation, not a label: a recent job change, a recent post, a company of the right size in the right place. Title and industry filters are where every search starts, but on our own LinkedIn outbound a Sales Navigator search list replied at 21.7% and booked 0.71 meetings per 100 people messaged, against 54.6% and 4.54 for lists built from an intent signal.

That gap is the reason this post exists. Sales Navigator is a good map of who exists. It is a weaker answer to who is thinking about your problem this month. Here is how to use the filters so the map gets as close to the second question as it can.

What does a Sales Navigator search actually give you?

A list of people who match labels that profiles carry. A profile says "Head of Sales" because the person typed it or because a recruiter did. It does not say whether the person is hiring, unhappy with a vendor, or about to change the process you sell into.

On our own LinkedIn account, 27,737 people were messaged and 10,978 replied (40%). Inside that total the source of the list mattered more than the wording of the message. A Sales Navigator search list replied at 21.7%, and lists built from people who had engaged with a relevant post replied at 54.6%. The same agents and the same offer sat behind both. You can read the whole set of numbers in the Sellinger case study.

The ShortVibe study shows the same shape at small scale. Of 19 discovery calls booked, 16 came from lists of people already engaging with relevant posts, and title and keyword searches booked 1 call in 225 conversations. One founder, one product, a small sample, so read it as a direction and not a rule.

Which filters are worth setting?

Filter names change, so check them on your own screen. The ones below are the kinds that tend to help.

Two of these, the job change and the recent post, are the closest thing to a signal that a normal search offers. If your offer fits a person starting a new role, say so in the first message, and the filter becomes the reason you are writing.

Which filters waste time?

Be suspicious of any filter that makes the number smaller without making the audience clearer.

• Industry on its own. LinkedIn's industry labels are broad. A software company and a bank's technology team can share one label and need different messages.
• Function plus a long list of titles. Stacking ten titles feels precise and returns a mixed crowd.
• Connections of connections. A shared contact helps only when you can name that person in the message.
• Very narrow company size bands. A band of 51 to 200 and a band of 11 to 50 are not different audiences for most products, and splitting them doubles the work.
• Years of experience at a very specific level. A filter you cannot explain to a colleague in a sentence is a filter you will not learn from.

How do you turn a search into a better list?

Do it in three passes.

1. Start wide, then read 50 profiles. Open fifty results and mark each one yes or no. If fewer than half are a yes, the filters are describing the wrong people.
2. Add one situation filter. Add a job change or a recent post and read fifty again. The share of yes answers should go up.
3. Write one opener per cluster. If the yes profiles split into two types, write two openers. On our own outbound an observation about the person's work beat a question by 10 to 15 points, so use something you saw in the profile. See observation openers beat questions.

Then bring the list into Sellinger. The guide on Sales Navigator search to leads walks through the import, and the LinkedIn search import guide covers the ordinary search.

Is Sales Navigator better than a database?

They answer different questions. A search finds people on LinkedIn by their profile. A database such as ours, with over 700 million contacts, finds people and companies and adds verified emails and phone numbers, which matters when LinkedIn is not the only channel. We compare them in Sales Navigator against a lead database, and the product comparison is on Sales Navigator against an AI SDR.

The best lists we have seen combine both: a database to find the company and the contact details, a LinkedIn signal to decide who to write to first.

What should you know about the ACw ids?

Profile ids that start with ACw come from Sales Navigator. If you import such leads and invite them from an account that does not have a Sales Navigator subscription, LinkedIn can refuse with a feature not subscribed error. This is a LinkedIn rule about the account, not about your list. We explain it in why a LinkedIn invite returns 403. Since a fix on 17 October 2026, accounts without Sales Navigator invite leads imported from Sales Navigator searches normally.

A checklist before you save the search

• [ ] I read fifty profiles and more than half were a clear yes.
• [ ] One filter describes a situation, not only a label.
• [ ] I can explain every filter in one sentence.
• [ ] I have one opener per type of profile in the list.
• [ ] I know which account will send the invitations and what it is subscribed to.
• [ ] I will compare this list's reply rate with my other lists, not with a number from a blog.

The point of all of this is not to make the filter screen clever. It is to end up with a list where each person has a reason to hear from you this month, and to find out quickly, by measuring each list separately, which of your searches deserves the next hundred invitations.