Data across 109 LinkedIn campaigns

LinkedIn Outreach: What Works in 2026.

Findings from 109 live LinkedIn campaigns for technology businesses, over six months: who accepts, who replies, and what turns a reply into a lead.

Published: 27 Aug 2026
109
campaigns analysed
55
technology clients
117,838
people contacted
82
markets reached
Visibility Wins research · 8,026 conversations started · 1,358 leads by the contact status classification
Where the outreach ran

Outreach across 82 markets

Shaded by people contacted
82 markets reached
World map with each market shaded by the number of people contacted
People contacted
10,000 and above
1,000 to 9,999
250 to 999
50 to 249
Under 50
No outreach recorded
Largest markets
United Kingdom49,998
Ireland6,954
United States1,722
Germany1,204
Italy924
South Africa820
The Results

Outreach funnel

Connect invite sent
117,838
109 campaigns, January to July 2026
Connected
36,938
31.3% connect rate
Replied
8,026
21.7% reply rate, of the people who connected
Leads
1,358
3.68% lead rate, of the people who connected · one lead per 27 connections
What we define as a lead
We define a lead as a confirmed next step: a meeting booked, an email requested, or an event signup.
(Not a link clicked or a website visit)
Benchmarks
6.4–6.9%
LinkedIn-wide average reply rate, measured per invite sent (Expandi, 20 million outreach attempts). Per invite sent this programme replies at 6.81%
0.45%
cold email reply rate to net-new contacts (Belkins, 2025). The lead rate here, 3.68% of people who connected, is higher than cold email's reply rate
Every contact row in the export · January to July 2026
By campaign type

Reply and lead rate by campaign type

Reply rateReplies per person connected, full window · 21.7% overall
Partner Recruit7,716 connected · 1,632 replies
21.2%
0.97× average
End User26,498 connected · 6,126 replies
23.1%
1.06× average
Event Focus1,812 connected · 230 replies
12.7%
0.58× average
Lead rateLeads per person connected
Partner RecruitPartner recruitment outreach · 350 leads · 7,716 connected
4.54%
1 lead per 22
End UserCold net-new prospecting · 960 leads · 26,498 connected
3.62%
1 lead per 28

We define a lead as a confirmed next step: a meeting booked, an email requested, or an event signup. (Not a link clicked or a website visit)

Set the expectation

Leads to expect by campaign type

1,200 people contacted
per campaign
Campaign typeConnectedLead rateLeads expectedConnections per leadCadence
Partner Recruit44537.1% connect rate4.54%20.222
End User35429.5% connect rate3.62%12.828
All campaigns, pooledfor one campaign of 1,200 contacted37631.3% connect rate3.68%13.8272.29 per active campaign-week
Ranked by influence

What moves replies

The factors below are ranked by how much each one moves replies, measured across every contact row in the export and scaled so the strongest is 100.

Which campaign it wascompared against, not credited
100
Message length (characters)
64
Industry
50
Average sentence length
31
Job function
27
Number of sentences
25
Seniority
19
Readability
17
Country
11
Uses their first name
8

Message length ranks above who the person is: longer messages and more sentences associate with more replies, and longer sentences with fewer. Industry and job function matter less, and are fixed before any message is sent. Campaign sits first because it is compared against rather than credited, so a strong campaign cannot pass itself off as good wording.

Reading the ranking
What this means
Wording is the biggest lever after campaign choice. Message length and sentence shape rank above industry, job function and seniority.
Why it matters
Who the person is gets fixed when the list is built. The wording can be changed on any live campaign, and it carries more influence.
How many messages to send

What each follow-up adds

Replies per message sent at that step
3.4%
5.7%
9.7%
2.1%
2.6%
Connect note
98,022 sent
3.4% running
Follow-up 1
29,458 sent
5.1% running
Follow-up 2
22,454 sent
7.3% running
Follow-up 3
14,922 sent
7.7% running
Follow-up 4
2,270 sent
7.7% running
What the wording does

Message tactics that move replies

From the previous research window
148 campaigns

Message length

Real effect
Medium (41–90 words)18.1%
n=13,630
Long (90+)16.1%
n=3,861
Short (≤40)3.2%
n=59,978

Medium openers still reply 1.98 times better than the campaigns they ran in, so this is the wording. Most short openers are bare connection requests.

Asking a question

Real effect
Asks a question13.2%
n=1,296
No question6.3%
n=76,173
“You”-led framing 15.1%

Against 5.1% for balanced wording and 7.0% for we-heavy. Only 358 openers led with “you”, so the effect is real but measured on few messages.

Openers with a question reply 2.00 times better than the campaigns they ran in.

Clear call-to-action

Not the wording
No CTA11.5%
n=19,079
Has a CTA4.8%
n=58,390

Leaving the call-to-action out looks better, but the gap disappears once you compare each message with its own campaign. This is which campaigns wrote it, not the tactic.

Take
Medium-length openers, one question, and “you”-led framing each show the highest reply rates.

Small samples are pulled toward the average so a handful of replies cannot create a false winner. A tactic only counts as a real effect if it beats what its own campaigns already achieve, which is what separates the wording from the campaign it appeared in.

Audience insights

Which industries reply

Replies per person connected, against the 21.7% average
bar shows the likely true range
Computer and Network Security
34.0%
1.56×
Information Technology & Services
26.1%
1.20×
IT Services and IT Consulting
25.6%
1.18×
Technology, Information and Internet
21.1%
0.97×
Banking
16.3%
0.75×
Law Practice
15.1%
0.70×
Government Administration
13.7%
0.63×
Hospitals and Health Care
13.6%
0.63×
Insurance
11.0%
0.51×
Airlines and Aviation
4.2%
0.19×
1.0× average reply rate, 21.7%
What this means
Computer and Network Security replies at 1.56× the average and IT services at 1.18×. Regulated sectors sit between 0.19× and 0.75×, with airlines lowest.
Why it matters
Where the bar is short the figure is dependable. IT Services and IT Consulting spans 1.14× to 1.23× on 7,700 connections; Airlines and Aviation spans 0.08× to 0.47× on 96.
What to do next

What the data supports doing

1.6×

Build lists from IT-adjacent industries

Computer and Network Security replies at 34.0% and IT services at 25.6%, against the 21.7% average.

44.2%

Target sales titles

Sales accepts invites at 44.2% against a 30.6% average, and replies at 11.5% against 6.8% per invite sent.

9.7%

Run every sequence to follow-up 2

Follow-up 2 replies at 9.7% per message sent, the strongest step. Stopping after follow-up 1 gives up a third of replies.

2.8×

Value the later replies

Replies to follow-ups 2 and 3 become leads at 21.3% and 24.6%, against 8.8% for connect-note replies.

8.2%

Aim at managers

Managers reply at 8.2% per invite sent, against 5.5% for directors and 5.2% for c-level titles.

Author: David McCullough

CCO and Co-Founder, Visibility Wins

David McCullough oversees commercial strategy at Visibility Wins, working with B2B technology companies across the IT channel. He specialises in executive visibility, LinkedIn strategy and pipeline development. His writing covers relationship-led selling, what works on LinkedIn and the human side of business growth.

Be Found. Be Trusted. Be Chosen.