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LinkedIn connection acceptance rates for B2B founders: 81%, 21% and 4.4%

Three sets of LinkedIn connection requests from two of our clients produced three very different acceptance rates. This page gives the count for each set, who was asked, and what had happened before the request went out. Part of the gap between 81% and 21% is warmth that was there before the post.

By Kyle Meagher · 10+ years · 4 Fortune 500 brands · 123 businesses helped

What is a good LinkedIn acceptance rate for B2B outreach?

In plain words

In Kung Pow Marketing's 2026 data from a 3PL founder, cold LinkedIn connection requests with a personal note were accepted 21% of the time (323 of 1,504), and requests to people who had already engaged with his posts were accepted 81% of the time (164 of 203). Part of the gap between 81% and 21% is warmth that was there before the post.

01

The three sets

Share of connection requests accepted

81%
Warm: had engaged first
21%
Cold, with a note
4.4%
Cold sequence
Figure: Share of LinkedIn connection requests accepted, by set. Requests to people who had already engaged with the founder's posts: 81%. Cold requests with a personal note: 21%. A cold connection sequence to a show list: 4.4%. Source: Kung Pow Marketing client data.

Some of that gap is warmth they had before they saw a post; the posts are how we find the warm ones and earn the request.

The numbers
SetWho was askedWhat came before the requestSentAcceptedRate
WarmPeople on a 3PL founder's target listThey had already liked or commented on his content20316481%
Cold with a notePeople on the same founder's target listNo prior contact; a personal note went with the request1,50432321%
Cold sequenceDecision makers from a trade show exhibitor list, for an LTL freight providerA connection sequence; nothing published that they had seenNot publishedNot published4.4%

02

What each set was

The first two sets come from an 8-figure 3PL and eCommerce company, and the people asked are eCommerce brand founders and their teams. In 2026 requests went out from the founder's account to 203 people who had already liked or commented on something he posted. Of those, 164 accepted. Another 1,504 cold requests with a personal note went to people who had not engaged with him. Of those, 323 accepted.

The third set comes from an LTL freight provider, and the people asked are freight decision makers at shippers. Its team built a list of decision makers from a trade show's exhibitors and ran a connection sequence to them before the show. The sequence went out cold. The posts that were meant to reach those buyers first had not been published, so the request was the first thing they saw from the company. The co-founder reported the result in his own words: "Not great TBH ... 4.4% accept rate." I do not publish the send count for that sequence.

Compare the first two sets to each other. The third is its own case: a different buyer, a different sender and a list the sender had no history with.

03

Why 81% and 21% are not the same kind of number

Part of the gap between 81% and 21% is warmth that was there before the post.

The two 3PL sets sit 60 points apart. A person who liked a founder's post already knew his name and his subject. A person on a cold list knew neither, and moving people from that second group into the first is the work the posts do.

The 4.4% belongs to a third situation. With nothing published that those buyers had already seen, the request read like any other vendor's.

04

What to expect from your own list

Sort the people on your target list into two piles. The first pile is everyone who has ever liked, commented on or replied to something of yours. That is your warm set. The second pile is everyone else.

Measure both piles on your own list. What I publish here are counts from two clients, and I make no claim about every founder's list.

How we use these numbers

For every founder we report acceptance by set each month, warm requests first. A cold person gets a request only after a post has reached him, so the warm pile grows before the ask goes out. The number I watch is how many people moved from the cold pile into the warm one.

If you want to see how many people on your own list are already warm, send us the list. We send back the count of decision makers in your market and the first 25 rows of your Sniper Sheet, then walk you through them in 30 minutes. You keep the sheet. Send us your list.

Send us your list