Signals
Follower Count Is an Activity Filter
It does not measure influence. It measures whether someone opens the app.

Tim Burnham
Founder & CEO
August 11, 2026
I filtered on 500 or more connections for about a year.
Not because I had tested it. Because it was the default box in the tool.
The simple idea
Connections and followers look like the same thing. They are not.
Connections pile up over a career. You can have 900 of them and not have opened the app since 2019.
Followers only grow when someone puts something into the feed that other people react to. A high follower count is a side effect of being active.
So follower count is not a measure of influence. It is a cheap measure of whether the person is actually there.
How it applies
If someone is not on LinkedIn, a LinkedIn message is a wasted touch. It is worse than wasted, because you counted it as an attempt and it never got seen.
Follower count sorts your list into two piles. Reach these people on LinkedIn. Reach those people by email.
That is the whole use. It is not a quality score.
What I found
I ran both filters over the same list in a Clay AlphaForge session in August.
500 connections returned about 101 people.
2,000 followers returned 15.
Those 15 were the ones worth a connection request. The other 86 were an email list that I had been treating as a LinkedIn list, and wondering why nothing came back.
Then a second test, which was the part that surprised me.
I built one group of 49 people from the bottom up, sourced by title and firmographics. Six of them were active on LinkedIn in a way relevant to what I do.
I built a second group of 58 people from the top down, sourced from a list of recently promoted enterprise reps. Fifty one were active.
12% against 88%. Same effort. Same tooling. The difference was where I started looking.
In some industries almost nobody clears 2,000 followers. Do not force the number. Pull follower counts for 100 known good accounts in your market, look at the top 15%, and use that as your line instead. The point is relative activity, not the specific figure.
How it works
Three steps, in this order.
One. Pull follower count, not connection count. Most enrichment sources give you both and it is easy to grab the wrong field.
Two. Split the list. Above your threshold goes to a LinkedIn first sequence. Below goes to email first. Nobody gets dropped. They just get reached where they are.
Three. Add recency on top. Of the people above the line, keep the ones who liked or commented on anything in the last 7 days. This is the filter that does the most work.
On my own numbers, so you have something to compare against. I send around 10 connection requests on a Monday, to people who cleared both filters, with a note that references what they have been paying attention to. About 40% accept. That usually turns into one or two calls.
When I sent generic requests to a list that had passed no activity filter at all, acceptance sat in the single digits.
The messages were not much better. The list was.
The limit
This throws away good people.
Plenty of serious buyers have 300 followers and read LinkedIn every day. The filter cannot see them, and it will never see them.
That is why the low follower group goes to email instead of the bin. You are choosing a channel, not deciding who deserves to hear from you.
I might be wrong about 2,000. Try your own market and see where the line falls.
Working on something like this? Tell us what's slow and we'll tell you what we'd build.
