Most LinkedIn benchmarks online are either a vendor's best campaign dressed up as an average, or a survey of what people say they get. These are neither. They are the logged totals from every LinkedIn campaign algoacquisition ran between 1 April and 13 October 2026, pulled straight from our tracking system, including the campaigns that did badly.
The benchmarks in one table
| Metric | Across all campaigns | Top campaigns |
|---|---|---|
| Connection accept rate | 19.8% | 30–39% |
| Contacts per interested reply (client campaigns) | 1 in 130 | 1 in 21 |
| Contacts per interested reply, trigger-sourced campaigns | 1 in 44 | 1 in 21 |
| Contacts per interested reply, list-based campaigns | 1 in 192 | — |
| Interested reply → booked meeting | 13.5% blended | 10–30% depending on the niche |
| Follow-ups sent before an interested reply | 0.4 on average | — |
| Messages in an interested conversation | 5.6 on average | — |
Six things in that table are worth more than the table itself.
1. A 20% accept rate is normal. 35% is a tight ICP, not better copy.
Across 163,868 requests the accept rate was 19.8%. The campaigns that cleared 30% (eight of them, topping out at 38.8%) had one thing in common, and it wasn't the connection note. It was how narrow the target was: one sector, one seniority band, one trigger. A campaign aimed at plant and engineering leaders in automotive manufacturing accepted at 38.8%. A broad "all decision-makers" version of a similar offer, run for the same client, accepted at 13.4%.
If your accept rate is under 15%, stop editing the note and look at the list.
2. Trigger-sourced campaigns converted 4.4× better than list-based ones
We run two kinds of sourcing. List-based: build an ICP filter in Sales Navigator and work through it. Trigger-based (we call them TTV campaigns internally): only contact people when a live signal says the problem is current, such as a new hire in the role you sell to, a fresh funding round, a job post for the function you replace, or a recent filing.
Across 12 trigger-sourced campaigns, it took 44 contacts to produce one interested reply. Across the list-based campaigns in the same period, it took 192. Same reply handlers, same messaging team, same seats. The best trigger campaign, for a global recruitment client, converted one in every 21 people contacted into an interested reply and produced 308 interested leads from 6,771 contacts.
This is the single biggest lever in the dataset, and it is upstream of every message you will ever write.
3. The first message does most of the work
The average interested lead replied after 0.4 follow-ups. In plain terms: comfortably more than half of the people who said "yes, tell me more" said it to the first message, not the fourth nudge. Follow-ups matter at the margin (campaigns with one to two follow-ups did pull in replies the first message missed), but a sequence of seven "just bumping this" messages is not where the meetings come from.
What this means in practice: spend your effort on the list and the opening message. If the first message is not producing replies, the follow-ups will not rescue it.
4. Booking a meeting takes a conversation, not a link
An interested conversation ran to 5.6 messages on average before a time landed on the calendar. The leads who replied were not asking for a Calendly link; they were asking questions, and the booking happened once those were answered. Booking rates from interested leads run from roughly 10% in broad, high-volume markets to 30% in tight niches with a sharp offer, and the campaigns at the top of that range are the ones where a human called every interested lead inside the five-minute window.
That is also why we do not treat reply handling as an admin task. Whoever answers the replies is the one booking the meetings.
5. One campaign, 5,792 interested replies and 909 booked meetings
Our own outbound, selling algoacquisition to US recruitment and staffing firms, is the largest single campaign in the dataset: 5,792 interested replies and 909 meetings booked between April and October, with a 15.7% interested-to-booked rate. We include it because it is the same engine, run the same way, on the same seats we provide to clients, and it is what the numbers look like once message-market fit is found and the campaign is simply left to run.
It is also why we are comfortable putting a minimum number of booked qualified meetings in the contract.
6. Between 10% and 30% of interested replies become meetings, depending on the niche
Blended across every campaign, 13.5% of interested replies turned into a booked meeting inside the window. By niche the spread is wide: around 10% in broad markets where the offer is still being sharpened, up to 30% in tight verticals such as specialist recruitment and clinical sales where the message lands on exactly the right person. The interested leads that do not book straight away are the reason a quarterly engagement outperforms a monthly one: an "interested, but not this month" reply in April is a meeting in June if someone is still working the thread. In the data, the campaigns with the longest conversations (up to 16 messages) were the ones nursing those leads to a booking.
How to use these numbers
- Benchmark your accept rate against 20%. Under 15%, fix the list. Over 30%, you have a tight ICP; protect it.
- Benchmark interested replies against 1 in 130 contacts. If you are at 1 in 300, the problem is sourcing or message-market fit, not volume.
- If you can source on triggers, do. 4.4× is not a rounding error.
- Put your best person on the replies, inside minutes, with a phone. That is where a 10% booking rate becomes 30%, and where the two to three times the minimum our clients typically see once the offer is refined comes from.
If you want these numbers run against your own market, the ROI calculator uses the same funnel, and a strategist can tell you in one call whether your ICP is one we can source on triggers.
Methodology and caveats
All figures come from algoacquisition's internal tracking system for the window 1 April to 13 October 2026, covering every LinkedIn campaign with logged activity across 30 client workspaces and our own outbound. "Interested" means a reply tagged as interested by a human reply handler at the time it landed; connection accepts, likes and "not now" replies are excluded. "Contacted" counts leads who received at least one message. The trigger-versus-list comparison covers the 12 campaigns tagged as trigger-sourced against all other client campaigns with contact data in the same window; the largest trigger campaign contributes a significant share of the trigger total, and excluding it the lift is 1.8× rather than 4.4×. Client names are withheld except where the client has agreed to be named elsewhere on this site. Numbers are rounded to one decimal place.
FAQ
What is a good LinkedIn connection request acceptance rate in 2026?
Across 163,868 requests in our dataset, the average was 19.8%. Campaigns with a tight, single-segment ICP ran at 30–39%. Under 15% usually means the list is too broad, not that the note is wrong.
What is a good reply rate for LinkedIn outreach?
Measured as interested replies per contact, our client campaigns averaged 1 in 130, trigger-sourced campaigns 1 in 44, and the best campaign 1 in 21. Raw reply rates that count "no thanks" and "who are you" run much higher and are not worth benchmarking against.
How many follow-ups should a LinkedIn sequence have?
In our data the average interested lead replied after 0.4 follow-ups, meaning most interested replies came from the first message. One or two follow-ups pick up stragglers; long nudge sequences do not change the outcome.
What percentage of interested LinkedIn leads book a meeting?
Between 10% and 30%, depending on the niche: broad markets sit near 10%, tight verticals with a sharp offer reach 30%. Blended across every campaign in our dataset the figure was 13.5%, and the campaigns at the top of the range were the ones with a human calling every interested lead inside five minutes.
How many LinkedIn messages does it take to book a meeting?
An interested conversation averaged 5.6 messages before a meeting was booked. Leads reply with questions, not calendar requests, so reply handling is where the booking actually happens.
Want the meetings, not the to-do list?
A minimum of 80 booked qualified meetings a quarter, in the contract. Talk to a strategist and we'll size the engine to your market.