
In short
- 01"Warm outreach (existing connections) averages 12.2% replies vs 7.9% for cold, across 35 million touchpoints analyzed"
- 02"Adding a profile visit before messaging lifts reply rate 143%, from 4.88% to 11.87%"
- 03"Personalized first messages get 9.36% replies vs 5.44%, but connection request notes barely shift acceptance rates"
- 04"Five nurturing actions before outreach generate 5x more replies than a single cold touch"
20 million outreach attempts. Here's what the data says.
The cold versus warm outreach debate usually goes like this: someone says cold outreach is dead, someone else says it still works, and both cite their own experience as evidence.
Two large datasets settle it. Expandi's platform analyzed over 20 million outreach attempts across roughly 13,000 unique LinkedIn accounts throughout 2024. Belkins' 2026 State of LinkedIn Outreach study went further, pairing its own contact data with about 15 million Expandi touchpoints from 2025. Both are large enough to draw real conclusions.
The headline number from Belkins' 2026 study: warm campaigns (messaging existing connections) achieve a 12.2% total reply rate. Cold connection campaigns get 7.9%. That's a 54% advantage for warm outreach.
But the most interesting findings aren't in the cold-versus-warm split. They're in the combinations.
The numbers that matter
Reply rates by campaign type
The gap between the best approach (messenger, 12.2%) and the worst (mobile connector, 3.81%) is more than 3x. Campaign type matters more than most people's messaging optimization.
The action combination that doubles results
The single most important finding in the data: combining a direct message with a profile visit before sending produces an 11.87% reply rate. Sending a direct message alone gets 4.88%.
That's a 143% improvement from one additional action.
Profile visits create a warm signal. The prospect sees your name and headline in their "Who's Viewed Your Profile" section. When your message arrives, you're not a stranger - you're someone who already showed interest. This is how networking actually works: you notice someone, then approach them.
The cumulative effect of nurturing
The data tracks how reply rates change as you add more nurturing actions before outreach:
- 1 nurturing action: 1.07% reply
- 2 nurturing actions: 2.53% reply
- 3 nurturing actions: 3.78% reply
- 5 nurturing actions: 5.26% reply
Each additional touchpoint (profile visit, post like, comment engagement) adds roughly 1 percentage point to reply rates. Five nurturing actions before outreach generates 5x the replies of a single cold touch.
What personalization actually moves
The data on personalization is surprisingly nuanced.
Connection acceptance: notes barely matter
Expandi's 2024 data found that connection requests with a personalized message get 26.42% acceptance. Without a message: 26.37%. Statistically identical.
This challenges the conventional wisdom that you should always include a note. On LinkedIn, acceptance seems to be driven more by your profile (headline, photo, mutual connections) than by the note, a pattern our LinkedIn connection acceptance rate benchmarks break down in more detail. Free accounts are now limited to roughly 5 noted requests per month anyway, making this largely a non-issue for high-volume senders.
Reply rates: personalization matters a lot
While notes don't affect acceptance, they significantly impact what happens after:
- Personalized first message: 9.36% reply rate
- Non-personalized: 5.44% reply rate
That's a 72% improvement. The takeaway: save your personalization effort for after the connection is made, not for the connection request itself.
AI personalization: the surprising results
AI-assisted messages outperform non-AI messages on the first touch (4.19% vs 2.60%). But on follow-ups, non-AI messages perform slightly better (3.91% vs 3.48%).
The likely explanation: AI is good at initial personalization (reading profiles, referencing posts) but produces follow-ups that feel less natural than human-written ones. Total campaign performance with AI: 7.66%. Without: 6.50%. AI adds about 18% lift overall - helpful but not transformative.
When cold still wins
The data doesn't say warm always beats cold. It says warm gets higher reply rates on average. But there are scenarios where cold outreach is the right approach.
When your TAM is small
If you sell to a niche with 200 target companies and you've already connected with most decision-makers, there's no warm pool to fish from. Cold outreach to the remaining prospects is your only option.
When speed matters more than conversion rate
A company launching a new product into an unfamiliar market needs awareness fast. Cold outreach at 7.9% reply rate with 100 daily touches beats warm outreach at 12.2% with 20 daily touches - at least in the short term.
When you have no content engine
Warm outreach depends on creating warmth - publishing content, engaging with posts, building visibility. If you're starting from zero content presence on LinkedIn, cold outreach gets you into conversations while you build your warm engine.
When warm wins decisively
Enterprise and high-ACV sales
When each deal is worth $50K+, the difference between 7.9% and 12.2% reply rates compounds massively through your pipeline. If you need 10 meetings to close 1 deal, warm outreach gets you there with roughly 82 outreach attempts. Cold takes 127. Over a year, that's hundreds of hours saved.
Saturated markets
If your prospects receive 10+ sales messages per week (common for VP Sales, CMOs, and Heads of Growth), cold outreach competes with everyone else in their inbox. Warm outreach - where they've already seen your name through profile visits, post engagement, or mutual content - cuts through because you're not a stranger.
The data confirms this: sales roles post some of the lowest reply rates, while HR and talent acquisition top the list at 12.08%. Sales people are numb to sales outreach. You need warmth to break through.
Long-term relationship building
Warm outreach builds compound advantage. Every post like, every comment, every profile visit creates a small signal. Over weeks, a prospect who's seen your name five times is dramatically more likely to respond than one who's never heard of you.
The hybrid approach (what actually works)
The best-performing teams in the data don't choose cold or warm. They build systems that create warmth before cold outreach happens.
The sequence that works
- Week 1-2: Identify prospects through buying intent signals (engagement, job changes, hiring)
- Day 1: Visit their profile (creates "who viewed" notification)
- Day 2-3: Like or comment on one of their posts (second touch)
- Day 4-5: Send connection request (without note)
- On accept: Send personalized message referencing their recent activity
- Day 7-10: Follow up if no reply
This isn't warm outreach or cold outreach. It's a warm-up sequence that turns cold prospects into warm ones before you ever send a message. The Belkins data shows this combination (multiple nurturing actions + personalized message) can achieve 10%+ reply rates consistently.
Tools like BeReach help you run this entire sequence. The BeReach agent helps you find the right prospects, warm them up over a few days, and reach out with a personalized message when they're ready - all at a respectful pace. The result is more replies and more booked meetings from the same list. BeReach plans start at EUR99/month, less than most cold outreach tools that skip the warm-up entirely.
Timing: what the data says about when to reach out
Expandi's data tracked reply rates by day and month:
Best days: Tuesday (6.90%) and Monday (6.85%) Worst days: Saturday (6.40%) Difference: Small. Don't overthink day-of-week timing.
Best months: January (7.51%), April (7.26%), July (7.00%) Worst months: October-December (6.36-6.44%) The pattern: Q1 start-of-year energy, Q2 budget season, and a summer bump. Q4 drops as people focus on closing existing deals.
Geographic performance: Southern Europe and South America tend to reply most, with Northern Europe close behind and the Middle East trailing. The regional spread is real but smaller than the gap between campaign types.
Every viral post is 100+ warm conversations waiting.
Tell your agent who you want to reach. It finds leads, qualifies them, sends personalized outreach, and follows up.
Frequently asked questions
Is cold LinkedIn outreach dead in 2026?
No - but it's less effective than warm approaches. Belkins' 2026 study shows cold connection campaigns get about 7.9% reply rates, while warm messenger campaigns achieve 12.2%. Cold outreach still works for reaching prospects outside your network, especially in niche markets. The smartest approach is creating warmth through profile visits and engagement before sending cold messages.
What's a good reply rate for LinkedIn outreach?
Based on the latest benchmarks: 10-12% is average for warm campaigns, 7-8% for cold connection campaigns, and above 15% signals strong performance. Industry matters significantly - legal and professional services see 10.42% while Software/SaaS averages 4.77%. If your reply rate is consistently below 5%, your targeting or messaging needs work.
Should I include a note with my LinkedIn connection request?
The data suggests it barely matters for acceptance rates. Expandi's 2024 data found 26.42% acceptance with notes versus 26.37% without - statistically identical. Save personalization for your first message after connecting, where it makes a 72% difference in reply rates (9.36% personalized vs 5.44% not). Free accounts are now limited to roughly 5 noted requests per month, making this largely academic.
How many touchpoints before outreach is optimal?
More is better, up to a point. The data shows each additional nurturing action (profile visit, post like, comment) adds roughly 1 percentage point to reply rates. Five actions before outreach delivers 5x the replies of a single cold touch. The best-performing combination is a profile visit plus a direct message, which achieves 11.87% reply rates - 143% better than messaging alone.
Does AI improve LinkedIn outreach performance?
Moderately. AI-assisted messages achieve 7.66% total campaign reply rates versus 6.50% without AI - about an 18% lift. AI performs better on initial personalization (4.19% vs 2.60% first message) but slightly worse on follow-ups (3.48% vs 3.91%). The real value of AI is consistency and scale, not dramatic performance improvement. It's most useful when combined with signal-based targeting.


