Published averages for LinkedIn connection acceptance rates range from 26% to 51%, and the largest datasets cluster at 26% to 30%. There is no single true number: every public study comes from an outreach vendor measuring its own users, and the samples differ wildly. This guide puts all seven datasets side by side, explains why they disagree, and shows how to measure the only rate that matters, your own.
The seven studies, side by side
| Study | Average acceptance rate | Sample | Period |
|---|---|---|---|
| Expandi | 28.5% | 13.2M requests across 13,302 accounts | May 2025 to Apr 2026 |
| Belkins | 26% | 20M+ outreach attempts via Expandi campaigns | 2025 |
| Botdog | 37% | 16,492 invitations | 2025 |
| Leadriver | 30% to 37% | 50,000+ requests | 2026 |
| Emailsearch.io | ~30% | Claimed 500,000 requests, no methodology published | 2024 |
| Waalaxy | 38% without a note, 26% with a full note | ~10M requests | 2026 |
| Evaboot | 51% | 1,300 invitations, sent without notes | 2025 |
Sources: Expandi's 2026 benchmark report, the Belkins outreach study, Botdog's acceptance rate analysis, and the published figures from Leadriver, Emailsearch.io, Waalaxy, and Evaboot. Every one of these is first-party vendor data, which is exactly why the spread is so wide.
Why the numbers disagree so much
Three reasons, none of them sinister. First, every sample is that vendor's own customers, which means people running automated cold outreach at volume. A tool whose users blast broad lists will report lower acceptance than a tool whose users send 1,300 carefully targeted invites, which is how Evaboot lands at 51% while Belkins reports 26%. Second, the note mix differs: several datasets show blank invitations outperforming noted ones on acceptance, so a sample heavy on blank invites skews higher. Third, conditions are getting harder over time. Expandi's own data shows the reply rate to connection notes fell from 3.5% to 2.2% between May 2025 and April 2026, a 37% relative decline in one year, which it attributes to template fatigue and audience saturation. A 2024 benchmark and a 2026 benchmark are measuring different LinkedIns.
What counts as a good acceptance rate
The bands vendors publish against their own data are more useful than any single average. They agree with each other more than the averages do: 25% is the floor below which something is wrong with your targeting or your profile, 30% to 45% is good for genuinely cold outbound, and above 50% is excellent, usually a sign of tight ICP filtering plus a warm signal like a shared group, event, or mutual connection. If you are consistently under 20%, stop sending and fix the list before fixing the message: targeting problems are the most common cause, and LinkedIn is watching the same number you are.
Your acceptance rate is a safety metric, not a vanity metric
LinkedIn's official documentation on invitation restrictions lists two triggers: sending many invitations within a short amount of time, and accumulating ignored, pending, or spam-marked invitations. The second one is an acceptance rate problem. A pile of unanswered requests tells LinkedIn your outreach is unwelcome, and the documented consequences are invitation restrictions that support cannot lift, with wait times that escalate from hours to weeks for repeat offenses.
Vendors watching their users at scale report the softer version too: accounts with acceptance rates under roughly 20-25% see their weekly invitation limits quietly reduced, while warmed accounts with strong acceptance get more headroom. Restrictions start silently, as reduced reach and tighter caps, before any warning appears. That makes acceptance rate the earliest warning signal an outbound team has, and it is a number LinkedIn never shows you.
How to measure your own acceptance rate
LinkedIn gives you the raw ingredients but not the number. The manual method takes about ten minutes a week:
- Snapshot your sent invitations weekly. Open linkedin.com/mynetwork/invitation-manager/sent/ and record every pending request with the date. A spreadsheet with name, date sent, and status is enough.
- Reconcile against your connections. Each week, check which people from previous snapshots have left the Sent list. If they now appear in your connections, mark them accepted. If they are gone from both, mark them declined or expired.
- Compute the rate over a rolling window. Acceptances divided by requests sent, over the last 30 days. Botdog’s timing data shows 99% of acceptances happen within 30 days, so anything older counts as a miss. Withdraw those stale requests while you are there.
Frequently asked questions
What is a good LinkedIn connection acceptance rate in 2026?
Between 30% and 45% is good for cold outbound, based on the benchmark bands vendors publish against their own campaign data. Below 20-25% is a warning sign: it usually means weak targeting or a thin profile, and sustained low acceptance can lead LinkedIn to tighten your weekly invitation limit. Above 50% is excellent and typically requires tight ICP filtering plus some warm signal, like a shared group or recent interaction.
Does LinkedIn show your connection acceptance rate?
No. LinkedIn has no native acceptance rate metric. The Sent invitations list shows only what is currently pending, and accepted or ignored requests simply leave the list without explanation. To know your rate you have to record what you send and reconcile it against your connections over time, either manually or with a tracking tool.
Does a low acceptance rate hurt your LinkedIn account?
Yes. LinkedIn’s own help documentation says invitation restrictions are triggered by accumulating ignored, pending, or spam-marked invitations, not just by sending too many. Several vendors also report that accounts with acceptance rates below roughly 20-25% get their weekly invitation limits reduced. Acceptance rate works as an enforcement signal, not just a performance metric.
Do connection request notes improve acceptance rates?
The data is genuinely split. The largest dataset, roughly 20 million requests analyzed by Belkins across Expandi campaigns, found acceptance essentially identical with or without a note (26.42% vs 26.37%) but a 72% higher reply rate after accepting when a note was included. Waalaxy and Botdog data both show blank invitations getting accepted more often than noted ones. If your goal is conversations, a good note helps; if your goal is network growth, skipping the note does not appear to cost you acceptances.
How quickly do people accept connection requests?
Fast or never. In Botdog’s analysis of 16,492 invitations, 21% of all acceptances happened within the first hour, 63% within 24 hours, 88% within 7 days, and 99% within 30 days. A request that has been pending for more than a month has effectively been ignored, and withdrawing it is usually better for your account health than letting it sit.