Hlib Storchak · 2026-08-22 · ~9 min readQuick answer
Expandi's 2026 LinkedIn benchmark (13.2 million connection requests, May 2025 to April 2026) shows connection-note reply rates dropped from 3.5% to 2.2% over that year, a 37% relative decline, while post-connect message reply rate held flat in a 10 to 11% band, averaging 10.4%. Getting a reply to the note itself is getting harder. Getting a reply after you are connected is not. The fix is to stop treating the connection note as a mini-pitch and start treating it as a low-effort door-opener, then put your real personalization budget into the first message after acceptance.
Two numbers moving in opposite directions
I'm Hlib Storchak. I build outbound systems for B2B founders and sales teams, and most of what follows comes from running LinkedIn outreach for clients alongside cold email. A pattern showed up in Expandi's 2026 LinkedIn Outreach Benchmarks report that I have not seen written up plainly anywhere else: two reply-rate metrics that used to move together have split apart. Connection-note reply rate cratered. Post-connect message reply rate did not move at all.
That split matters more than either number on its own, because it tells you where your outreach effort is still buying replies and where it has stopped working, even if your total meeting count looks fine on a monthly dashboard.
Where the data comes from
Expandi's 2026 benchmark is built on 13,218,869 connection requests and 6,730,447 outbound messages, sent through 13,302 active LinkedIn accounts between May 2025 and April 2026 (Expandi, "LinkedIn Outreach Benchmarks 2026"). It is one of the larger dated, sourced LinkedIn datasets I check against, which is why I have used its acceptance-rate numbers in other pieces on this site. What I had not dug into before was its twelve-month trend line, and that is where the connection-note finding sits.
What actually fell: connection-note replies
The report states that connection-note reply rate went "from 3.5% in May 2025 to 2.2% in April 2026," which it calls a 37% relative decline, and describes it as the most substantial trend shift found across the twelve-month window. That is a real, measured drop, not a one-month blip, tracked consistently across the same panel of accounts.
Tip. A 37% relative decline sounds abstract until you put it in absolute terms: on 1,000 connection requests, that is roughly 35 note-replies a year ago versus 22 today. The gap is real but it is also small enough that most teams never notice it inside normal month-to-month noise.
What held steady: post-connect message replies
Over the same twelve months, Expandi's data shows message reply rate holding in a stable 10 to 11% range, with a platform average of 10.4% for outbound messages sent after a connection is accepted. No comparable decline shows up here. Whatever changed the connection-note channel did not touch the message channel, at least not yet and not at this scale.
That stability is the more useful half of the finding. It means the reply capacity in LinkedIn outreach has not disappeared, it has concentrated. A channel that used to split its replies between two moments (the note, then the message) now delivers almost all of them at the second moment.
Why this is probably happening
I want to be honest about what the data can and cannot tell you here. Expandi's own report offers three plausible drivers and does not claim to have isolated which one, or what mix of the three, actually caused the drop: connection-note templates converging as more senders copy the same handful of formulas, LinkedIn changing how or where it surfaces notes to recipients, and simple audience habituation as more people receive automated notes and tune them out. All three are consistent with the pattern. None of them is proven by this dataset alone, and I have not found a separate study that isolates the mechanism. Treat the "why" as a reasonable set of hypotheses, and treat the "what" (the 37% decline itself, and the flat message rate next to it) as the part you can actually act on.
A second, independent dataset says the same thing
I do not like acting on one vendor's number alone, so I checked whether an independent dataset points the same direction. Reachium's own research, covering 180,155 connection requests sent between January 2025 and August 2026 that had matured at least 30 days, found connection acceptance holding roughly steady (26.33% in 2025 to 28.11% in 2026), while reply rate among accepted connections fell from 32.19% to 21.98%, a 10.2-point drop and roughly a 32% relative decline (Reachium, "LinkedIn Acceptance Held Steady While Reply Rates Fell"). That is a different metric than Expandi's connection-note figure, Reachium is measuring replies among people who already accepted, not replies to the note itself, so the two numbers are not directly comparable. But the direction agrees: getting connected is not the hard part anymore, and it was not the note doing the work.
| Dataset | Sample | Period | What moved |
|---|---|---|---|
| Expandi 2026 benchmark | 13.2M connection requests, 13,302 accounts | May 2025 to Apr 2026 | Connection-note reply: 3.5% → 2.2% (-37% relative). Post-connect message reply: flat at 10.4%. |
| Reachium reply-rate study | 180,155 connection requests | Jan 2025 to Aug 2026 | Acceptance: 26.33% → 28.11% (flat to up). Reply among accepted: 32.19% → 21.98% (-32% relative). |
A framework for where to move the effort
If a channel's reply rate is falling while a downstream channel's is flat, the fix is not to write a better version of the thing that is failing, it is to stop over-investing in it. Three steps:
- Cut the note down to its actual job. A connection note only has to earn the click to accept, not the reply. Keep it short, plain, and specific to why you are reaching out. Do not try to pitch, qualify, or ask a question that needs a real answer inside 300 characters.
- Move your personalization budget to the first post-connect message. That is where 10.4% of replies are still coming from, consistently, over a full year. If you only have time to deeply research one touch, research the one that comes after acceptance, not the one before it.
- Stop grading your outreach on note-reply rate at all. If you are still tracking "reply rate" as one blended number across notes and messages, split it. A blended number hides exactly the shift this data shows, and you will keep tuning the wrong step.
Connection note vs post-connect message, side by side
| Dimension | Connection note | Post-connect message |
|---|---|---|
| 2026 reply rate (Expandi) | 2.2%, down from 3.5% a year earlier | 10.4% average, flat all year |
| Trend direction | Declining (-37% relative in 12 months) | Stable |
| Character limit | ~300 characters | Effectively unlimited |
| Right level of effort | Short, plain, low-stakes. Do not try to close in the note. | Your real personalization budget goes here. |
| What to test next | Length and specificity, not cleverness | Timing after acceptance, and the first line's relevance to a real signal |
The mistake I see most often
The mistake I see most often when I take over a LinkedIn account for a client is the opposite of what this data recommends: a heavily workshopped, personalized connection note paired with a generic, templated post-connect message, because the note is what everyone reviews and approves before a campaign launches, and the message gets written once and left alone. That is exactly backwards given where the replies actually live. I flip the ratio: a short, generic-but-relevant note, and a message sequence that gets the real research and iteration.
A cost model: rewriting notes vs rewriting messages
Here is a simple way to check whether your own team's time is going to the right place. Assumptions, swap in your own: a rep spends 3 minutes per connection request personalizing the note, sends 40 requests a day, and a 2.2% note-reply rate means roughly 0.9 note-replies a day for that effort, about 32 minutes of writing time spent per note-reply generated. Now assume the same rep spends 5 minutes per accepted connection on the first post-connect message, with a 28.5% average acceptance rate (Expandi's 2026 figure) on those 40 requests producing about 11.4 accepted connections a day, and a 10.4% message reply rate on those, roughly 1.2 message-replies a day, at about 47 minutes of writing time spent per message-reply generated.
Run your own numbers here, your acceptance rate, your reply rate, and your actual time-per-touch will differ. The point of the exercise is not the exact minutes, it is that most teams have never compared the two ratios side by side, and once you do, moving effort from the note to the message is usually the more defensible call even before you account for the note's declining trend.
What I actually run for clients now
For clients running LinkedIn as part of a multichannel motion, this is the setup I default to: a connection note template bank of three or four short, low-effort variants rotated by segment, almost no per-prospect customization at that stage, and then a first post-connect message that pulls from real signal, a specific role change, a recent post, a shared connection, something that could not have been written about a different person. The note gets you in the door. The message is the actual pitch for a reply. Splitting the effort this way is a direct result of watching this exact trend show up in a client account before I went looking for whether the broader data backed it up.
Key takeaways
- Expandi's 2026 benchmark (13.2M connection requests) found connection-note reply rate fell from 3.5% to 2.2% over twelve months, a 37% relative decline.
- Post-connect message reply rate held flat at 10.4% over the same period, no comparable decline.
- Reachium's independent 180,155-request study points the same direction: acceptance held steady while reply rate among accepted connections fell roughly 32% relative.
- Neither dataset proves the cause. Treat template convergence, platform changes, and habituation as plausible hypotheses, not settled fact.
- Move personalization effort from the connection note to the first post-connect message, and track the two reply rates separately instead of one blended number.
- A quick cost model (minutes spent per reply generated) usually favors investing in the message over the note once you run your own figures.
FAQ
Is LinkedIn connection-note reply rate really declining, or is this one bad dataset?
Expandi's 2026 benchmark (13.2M requests) shows the connection-note decline directly, from 3.5% to 2.2% over twelve months. A second, independent dataset from Reachium (180,155 requests) shows a related but not identical pattern: acceptance held steady while reply rate among accepted connections fell about 32% relative. Two independent sources pointing the same direction is more reassuring than one, though neither is a controlled experiment.
Should I stop sending connection notes altogether?
No. A note still needs to explain why you are reaching out, which affects whether the request gets accepted at all. The change is in what you expect from it: treat it as a low-effort door-opener rather than a place to earn a reply, and stop grading it on reply rate.
What is a good post-connect message reply rate in 2026?
Expandi's 2026 data puts the average at 10.4%, holding steady across the twelve months it tracked. Use that as a rough benchmark, then build your own baseline from your actual campaigns, since industry and targeting quality both move the number.
Why would LinkedIn's own platform behavior explain a decline in note replies?
It might, but this is a hypothesis, not a confirmed cause. Expandi's report lists it as one of three plausible drivers, alongside template convergence across senders and simple audience habituation, without isolating which one is responsible.
Does this mean LinkedIn outreach is getting worse overall?
Not based on this data. Total reply capacity has not collapsed, it has shifted. Post-connect message reply rate held flat all year, which means the channel still works, it just delivers its results later in the sequence than it used to.