# Warm outbound reply rate *benchmarks*, and what to measure.

A single reply rate tells you almost nothing about warm outbound. Five numbers, split by source and read once a week, tell you which part of your orbit is paying and what to fix.

**The short answer:**
The warm outbound reply rate benchmark on LinkedIn is commonly 15% or more, against roughly 1-3% for cold outbound. Good warm campaigns often reach 15-45%. Measure replies and interested replies by source, new qualified warm leads per day, and time from signal to first message, and review them weekly.

## Warm outbound out-replies cold by a wide margin.

**15%+**common warm reply rate on LinkedIn

**15-45%**what good warm campaigns reach

**~2%**cold outbound category average (typically 1-3%)

**2.3x**warm vs cold reply rate

**2.6x**warm vs cold interested-reply rate

**47%**average on warm lists, Valley beta users

**8%**the same users' cold campaigns

Sources: Valley's 2025 data across 7.3 million prospects (warm out-replied cold in every segment); Valley warm-list launch to beta users, January 2026.

The gap in interested replies is bigger than the gap in replies. That's the important part: warm doesn't just get more people to answer, it gets more of the right answers.

## Five numbers are worth tracking, and they all split by source.

| Metric | What it is | What good looks like |
| --- | --- | --- |
| Reply rate | Replies divided by people messaged | 15%+ on warm LinkedIn sources; 15-45% on good campaigns |
| Interested-reply rate | Replies that want to keep talking, divided by people messaged | A clear step above cold; the ratio to replies matters more than the raw number |
| New qualified warm leads per day | Fresh people from your sources who pass your ICP | Steady or rising. Zero means a broken pipe, not a slow week |
| Time to first touch | Days between the signal and your first message | 1-3 days for viewers, engagers and visitors; 1-2 weeks for followers |
| Keep rate | Share of the orbit that passes ICP qualification | Roughly 10-30% for a high-ticket offer |

Split each by source: profile viewers, post engagers, followers, site visitors, competitor engagers, cold. A blended number lets a strong source hide a dead one.

## Sources should rank in a predictable order.

As a rule of thumb, sources closer to you should out-reply sources further out: commenters and profile viewers above followers, followers above competitor engagers, all of them above cold. When the order breaks, it's telling you something.

| What you see | Likely cause | What to try |
| --- | --- | --- |
| Profile viewers reply no better than competitor engagers | Messages mention the view, or qualification is loose | Remove the signal from the copy; tighten ICP |
| High replies, few interested | Pitching early, or messaging peers | Ask a better question; filter out non-buyers |
| Reply rate falling week on week | Time to first touch is creeping up | Check the gap between signal and send |
| New warm leads drop to zero | A source disconnected, or posting stopped | Check each source; check the posting calendar |
| Warm close to cold | Warm in name only: old signals, wide lists, template copy | Work signals within days; rewrite from templates |
| Keep rate far above 30% | Filter too loose | Add exclusions: peers, vendors, recruiters, sellers |

## Time to first touch is the number you control most.

You can't decide how many people view your profile this week, and you can only partly decide who replies. But you fully control how long a warm lead waits before hearing from you. It's also the number that drifts first when a team gets busy: a launch, a hire, a customer fire, and the daily block becomes a weekly one. Reply rates follow a few weeks later, and by then nobody connects the two. Track the gap between signal and first message for every source, and treat any creep past the window as a problem to fix this week, not a trend to watch.

## Small numbers lie, so read trends, not single weeks.

Warm lists are small. A source that sent a dozen messages this week can swing from great to terrible on one reply. Before you act on a rate, check how many people sit behind it. Rule of thumb: wait until a source has a few dozen sends before judging it, and compare four-week trends rather than this week against last.

Count interested replies by hand if you have to. A tool that counts out-of-office messages and "please remove me" as replies will flatter you. "Thanks, not now" is a reply, but not a conversation.

## The weekly review takes twenty minutes.

### Check the pipes.
New qualified warm leads per source, per day. Any source at zero gets fixed first, because a silent pipe looks exactly like a slow week.

### Read reply and interested-reply rate by source.
Is the ranking in the expected order? If not, use the table above.

### Check time to first touch.
If it's crept past the window for any source, that's usually the cheapest fix available.

### Read five replies in full.
The words people use tell you what to post about and what to ask next week.

### Change one thing.
One message, one filter or one source. Change everything at once and you won't know what worked.

### What is a good reply rate for warm outbound?
On LinkedIn, 15% or more is common for warm outbound, and good campaigns reach 15-45%. Cold outbound typically gets 1-3%, with a category average of about 2%.

### Should I measure replies or meetings?
Both, but interested replies are the most useful weekly number. Replies include polite no's, and meetings take too long to show up to steer by week to week.

### Why is my warm reply rate close to my cold reply rate?
Usually the leads aren't warm anymore by the time you write, the list isn't filtered to your ICP, or the message reads like a template. Fix time to first touch first.

Next: [the mistakes behind most low reply rates](https://warmoutbound.site/mistakes/), or [the weekly playbook](https://warmoutbound.site/playbook/).

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Source: https://warmoutbound.site/metrics/  
Written by Zayd Ali, Founder & CEO of Valley (https://www.linkedin.com/in/zayd-syed-ali-4201101a9/). Published by Valley (https://joinvalley.co/?utm_source=warmoutbound). Last updated 2026-10-27.