What's a good LinkedIn response rate? Industry benchmarks show 18-25% average, 30-40% for high performers. Learn response rates by industry, role, and how to improve yours.

If you're doing LinkedIn outreach, you're probably wondering: "Is my response rate good?"
Here's the quick answer: The average LinkedIn InMail response rate is 18-25%—which is 2.6 to 5 times more effective than cold email's 1-5%. High performers hit 30-40%, and elite campaigns break 40%+.
But response rates vary dramatically based on:
This benchmark report breaks down LinkedIn response rates by channel, industry, role, and personalization level—plus 8 proven tactics to improve your numbers.
Not all LinkedIn outreach is created equal. Response rates vary significantly by channel:
What it is: Paid messages to people you're not connected with (requires LinkedIn Premium or Sales Navigator)
Benchmarks:
Why InMails work: InMail is 2.6 to 5 times more effective than cold email. The LinkedIn InMail open rate averages 57.5%, up to 85%—far better than email's 20-30% open rates.
What "good" looks like: If you're getting 25%+ response rates on InMails, you're performing well above average. Anything above 30-40% represents elite performance.
What it is: Personalized notes sent with connection requests (300 character limit)
Benchmarks:
Improvement multiplier: Personalized connection requests achieve 3× higher acceptance than generic outreach.
Why it matters: If someone accepts your connection request (45% will), your follow-up message has a 25-35% chance of getting a response—better than cold InMail's 10-25%.
What it is: Messages sent to 1st-degree connections
Benchmarks:
Why this works: You've already established a connection. Messages to connections feel less intrusive than cold InMails.
What it is: LinkedIn DMs sent via automation tools
Benchmark: LinkedIn DMs driven by automation achieve an average 10.3% response rate, nearly double that of traditional email outreach.
Trade-off: Automation scales volume but typically sees lower response rates than manual, highly personalized outreach.
What it is: Messages crafted using AI that analyzes profiles, recent posts, and activity to create context-specific openers
Benchmark: 70-90% response rates with hyper-personalized approaches
Why this works: You're not using templates—you're starting conversations based on what prospects actually care about (recent posts, job changes, company news).
Example: LeadSpark AI analyzes LinkedIn profiles and recent activity to generate personalized conversation starters, achieving response rates 3-4× higher than generic templates.


Response rates vary significantly by industry. Here's what the data shows:
Recruiting & HR: 18-25% average response rate — the highest-performing industry for InMail engagement
Legal & Professional Services: 10.42% response rate — the highest among non-recruiting industries
Healthcare: 9.25% — Healthcare professionals are constantly seeking efficiency solutions
Software & SaaS: 4.77% response rate — lowest due to saturation; professionals here are immune to templated messages
Software & SaaS sees the lowest response rate (4.77%) because professionals in this space receive dozens of pitches daily. They've developed "template blindness"—they can spot generic outreach instantly and ignore it.
How to break through in SaaS: Reference specific product launches, technical blog posts, or GitHub activity. Show you've done deep research.
HR & Talent Acquisition: 12.08% response rate — highest by job title since their role involves communicating on LinkedIn. Folks in human resources responded to InMails at a rate 26% higher than the overall average.
Product Management: 10.24%
C-Level Executives: 6.98% response rate — time-poor and inbox-swamped, requiring extremely relevant and brief messages
Sales & Marketing: 6.32-6.40% — they recognize sales tactics instantly
C-Level executives are time-poor and inbox-swamped. They need extremely relevant and brief messages. Generic pitches get ignored immediately.
How to reach C-Level: Focus on business outcomes (revenue, cost reduction, strategic initiatives), not features. Keep messages under 50 words. Reference board-level concerns.
Personalization is the single biggest driver of response rate improvement:
Average users sending generic messages hover around just 7% response rates.
Example of generic:
"Hi [Name], I see you work at [Company]. I'd love to connect about [Topic]."
The average LinkedIn InMail response rate with basic personalization is 18-25%.
Example of basic personalization:
"Hi [Name], I saw you recently joined [Company] as [Title]. Congrats on the new role!"
Example of advanced personalization:
"Hi [Name], I saw your post about [Specific Topic] last week. Your point about [Specific Detail] was spot-on—especially given [Company]'s recent [News/Event]. Have you found any solutions for [Related Challenge]?"
Hyper-personalized approaches using AI achieve 70-90% response rates by analyzing profiles, recent posts, and activity.
Why it works: You're not just inserting their name—you're demonstrating genuine understanding of their work, challenges, and interests.
Personalization Boost Summary:
Based on benchmarks and data, here's what actually works:
The response rate for shorter InMails (under 400 characters) is 22% higher than the average.
Why: 57% of LinkedIn traffic comes from mobile. Messages under 400 characters fit on one mobile screen without scrolling.
Optimal length: Around 150 words generally works best. That's roughly 50-100 words for most messages.
What real personalization looks like:
The best InMail subject lines grab attention by including a business topic relevant to the recipient and/or use a personal touch, with 25 to 40 characters generally performing best.
Strong subject line formulas:
Best days: Tuesday (6.90%) and Thursday (6.85%) show highest reply rates
Best times: 8-10 AM (morning coffee scroll) and 5-6 PM (commute time on mobile)
Worst day: Most prospects respond least on Saturday
Warm-up tactics:
Then, if someone accepts your connection request (45% will), your follow-up message has a 25-35% chance of getting a response—better than cold InMail's 10-25%.
Strategy: Connect first with a personalized note, then message after they accept. Your response rate will be 2-3× higher than cold InMails.
Manual personalization doesn't scale beyond 10-20 prospects per day. AI/automation are saving SDRs hours and boosting reply rates (e.g., LinkedIn message response ~10.3% vs typical ~5%).
However: Basic automation (10.3% response) < Manual personalization (25-35%) < AI hyper-personalization (70-90%)
The key is using AI that actually personalizes based on context (recent posts, job changes, company news)—not just templates with name insertion.
Best practice: 2 to 3 follow-up messages spaced out over a week or two. Make each one value-based.
Follow-up schedule:
Don't send more than 3 follow-ups—it looks desperate.

How does LinkedIn stack up against other outreach channels?
LinkedIn InMail: 18-25% average
Cold Email: 1-5% average
Winner: LinkedIn InMail is 2.6 to 5 times more effective than cold email
Why LinkedIn wins: Higher open rates (57.5% vs. 20-30%), less spam competition, professional context, visible sender profiles.
Manual LinkedIn messages: 25-35% response
Automated LinkedIn DMs: 10.3% response
Winner: Manual messages (2-3× better)
Trade-off: Manual = higher quality but lower volume. Automation = higher volume but lower quality.
Cold InMail: 18-25% response
Message after connecting: 25-35% response
Winner: Connection messages (25-50% better)
Strategy: Connect first (45% acceptance with personalized requests), then message. Your overall conversion will be higher than cold InMails.
LinkedIn InMail: 18-25% response
Cold calling: 2-5% connection rate, <2% conversion to meeting
Winner: LinkedIn (3-5× better)
Why: LinkedIn is asynchronous—prospects can respond on their own time. Phone calls interrupt and often go unanswered.
Formula:
`
Response Rate = (Total Responses ÷ Total Messages Sent) × 100
`
Example:
Don't compare cold InMail response rates (18-25%) to connection message response rates (25-35%). They're different channels with different benchmarks.
If you're selling to Software/SaaS companies, a 10% InMail response rate might be good (industry average is 4.77%). But if you're in Legal/Professional Services, 10% would be below average (industry average is 10.42%).
The LinkedIn InMail open rate averages 57.5%, up to 85%. If your messages are getting opened but not replied to, the problem is your message content—not your targeting.
Best practice: 2 to 3 follow-up messages spaced out over a week or two. Many SDRs send one message and give up. Follow-ups can double your response rate.
Sending 500 generic InMails with a 5% response rate (25 responses) is worse than sending 100 personalized messages with a 30% response rate (30 responses).
Better strategy: Lower volume, higher personalization, better targeting.
The average LinkedIn InMail response rate is 18-25%. A good response rate is 25%+, and high performers consistently hit 30-40%. If you're below 15%, focus on personalization and message length (under 400 characters).
Personalized connection requests achieve ~45% acceptance rates, while generic requests only get ~15% acceptance. A high acceptance rate (40%+ is good, 60%+ is excellent) signals that you're connecting with relevant people who want to network with you.
Yes. LinkedIn InMail is 2.6 to 5 times more effective than cold email. LinkedIn InMails average 18-25% response rates vs. cold email's 1-5%. The LinkedIn InMail open rate averages 57.5%, up to 85%, compared to email's 20-30%.
Common reasons: 1) Messages are too long—keep under 400 characters for a 22% boost, 2) Lack of personalization—personalized messages get +30% higher response, 3) Wrong timing—send Tuesday-Thursday 8-10am, 4) Generic subject lines—use 25-40 characters, 5) No warm-up—engage with content before messaging for +27% boost.
Eight proven tactics: 1) Keep messages under 400 characters (+22%), 2) Personalize every message (+30%), 3) Optimize subject lines to 25-40 characters, 4) Send Tuesday/Thursday 8-10am, 5) Warm up prospects first (+27%), 6) Use personalized connection requests (3× higher acceptance), 7) Use AI for hyper-personalization, 8) Follow up 2-3 times.
LinkedIn DMs driven by automation achieve an average 10.3% response rate, which is better than cold email but worse than manual LinkedIn messages (25-35%). Use automation for volume but expect lower quality. Better: use AI that personalizes based on context (70-90% response rates) rather than generic templates.
HR & Talent Acquisition: 12.08%+ is good
Product Management: 10.24%+ is good
C-Level Executives: 6.98%+ is good (they're hardest to reach)
Sales & Marketing: 6.32-6.40%+ is good
C-Level executives are time-poor and inbox-swamped, requiring extremely relevant and brief messages. Adjust your expectations by role.
Formula: (Total Responses ÷ Total Messages Sent) × 100
Example: If you sent 100 messages and got 23 responses, your response rate is 23%. Track separately for InMails, connection requests, and direct messages since benchmarks differ by channel.
The data is clear: 18-25% is average, 30-40% is high performer, and 70-90% is elite tier with hyper-personalization.
Key takeaways:
If you're stuck at 10-15% response rates, the problem isn't LinkedIn—it's your personalization strategy. Try LeadSpark AI to analyze LinkedIn profiles and recent posts, then generate hyper-personalized conversation starters that achieve 70-90% response rates—not by using templates, but by understanding what each prospect actually cares about.
Sources:
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