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What Is a Good LinkedIn Outreach Reply Rate in 2026?

··Updated ·5 min read

Short answer: a good LinkedIn outreach reply rate in 2026 is around 17.1%. That's the median across 78 Lumos clients, on 74,595 conversations started between April 14 and October 10, 2026. The middle half of clients got replies from 10.8% to 24.0% of conversations. The typical client had 22.9% of requests accepted and 6.6% of conversations draw interest.

Data pulled: November 10, 2026

How we measured it

Lumos runs done-for-you LinkedIn outreach for B2B companies. For this study we took every conversation our clients' senders started in a 180-day window, April 14 to October 10, 2026, and checked it on November 10. Every conversation in the window had at least 31 days to run, which is longer than a full follow-up sequence.

  • Who's in it: 78 clients with 100 or more conversations in the window, 74,595 conversations in all. We left out our own outbound account and clients under 100 conversations, since a handful of messages swings a rate too far. One investment fund that runs several sender accounts with us counts as one client.
  • Acceptance rate: connection requests accepted divided by requests sent, from the sending platform's own counters. It covers 64 clients who sent 300 or more requests, 326 campaigns and 156,443 requests.
  • Reply rate: conversations that got any reply, divided by conversations started. A conversation starts when the first message goes out, which for most of our campaigns is right after the person accepts.
  • Interested reply rate: conversations where the reply showed interest, such as asking for details or agreeing to a call, divided by conversations started. An AI model sorts every reply into labels like interested, not interested and wrong person, and replies it marks as "get back to me later" don't count.
  • Ready-to-book rate: the strict version, counting only replies that went straight to scheduling.
  • One number per client. We worked out each client's own rate and then took the median and quartiles across clients, so one high-volume client can't set the benchmark. The pooled rate, every conversation in one pot, sits beside it.

What we found

MetricClientsBottom 10% of clients25th percentileMedian75th percentileTop 10%Pooled
Acceptance rate6410.5%17.0%22.9%29.8%34.6%24.8%
Reply rate786.2%10.8%17.1%24.0%30.3%19.0%
Interested reply rate781.6%3.2%6.6%11.7%14.6%8.4%
Ready-to-book rate780.3%0.7%1.6%2.8%4.9%2.3%

1. The median acceptance rate was 22.9%. A client under 17.0% sits in the bottom quarter, and over 29.8% puts it in the top quarter.

2. The median reply rate was 17.1%. The middle half of clients ran from 10.8% to 24.0%. Above 30.3% is top-10% territory.

3. Fewer than half of replies are interested. For the typical client, 43.5% of replies showed interest (67 clients with 20 or more replies). The spread is wide: 20.8% at the 10th percentile and 60.5% at the 90th percentile. That's why two campaigns with the same reply rate can produce far apart pipelines.

4. Ready-to-book replies are rare. The median client saw 1.6% of conversations get a ready-to-book reply. Most interested replies need a follow-up conversation before a call gets booked.

LinkedIn outreach benchmarks, April to October 2026

Bars show the middle half of clients; lines run from the bottom 10% to the top 10%. The tick marks the median.

Where clients landLinkedIn acceptance, reply, interested reply and ready-to-book rates on a shared 0% to 40% axis. Thin lines show the 10th to 90th percentiles, thick bars show the 25th to 75th percentiles, and ticks mark each median. All percentiles, pooled rates and client counts are in the table above.Acceptance, 64 clients22.9%Reply, 78 clients17.1%Interested, 78 clients6.6%Ready to book, 78 clients1.6%0%10%20%30%40%

17.1%

median reply rate

78 clients, 74,595 conversations, Apr 14 to Oct 10, 2026

Limits

  • These are Lumos clients, not all of LinkedIn. Every campaign had a researched list and written follow-ups. A team sending generic messages to a broad list should expect less.
  • The interested label comes from an AI model. Its "interested" bucket also catches some polite brush-offs, so read 6.6% as a ceiling and the 1.6% ready-to-book rate as a floor.
  • Acceptance counts campaigns that were running on the last day of each 30-day window. A campaign paused midway lost its partial counts.
  • Reply rate here is per conversation, not per message. A rate quoted per message sent will read lower, because each person gets several messages.
  • Six months of 2026. January to mid-April is left out because our records from those months kept only part of the conversations that never got a reply, which would inflate every rate.

See our pricing and client results, or download the benchmark CSV.