Outbound Sales Benchmarks Every Startup Should Track
Say two startups run cold email campaigns this quarter. One earns a reply for every 38 people they contact. The other has to email more than 600 to get a single reply back. They’re writing to the same kinds of inboxes over the same stretch of months, using the same tools.
The typical sender lands somewhere in the middle, around 135 contacts per reply. But that middle number, the one that usually gets reported as “the average,” tells you almost nothing about whether your outbound is working.
That’s the trouble with most outbound benchmarks. Someone publishes an average, you compare yourself to it, and you walk away with a false read on where you stand. Those email figures come from Smartlead’s State of Cold Email report, which measured more than 850 million emails sent in the first half of 2026. What it shows is a spread between the best and worst senders so wide that the average isn’t always a meaningful benchmark.
Benchmarks are still worth tracking, but you have to read them differently. The better use of a benchmark is to place yourself on a range and see how far you are from the top of it.
This guide covers the numbers that matter across the three channels most startups actually use for outbound, which are cold email, cold calling, and LinkedIn messages. For each one, we’ll lay out the realistic range and the handful of metrics worth watching, plus what separates the startups getting replies from those who are ignored.
The Benchmarks That Actually Predict Results
A lot of what gets tracked in outbound is noise, and possibly the worst offender is open rate.
Smartlead stopped reporting it, and the reason is worth understanding. Apple Mail loads email images automatically, which fires the open-tracking pixel before the recipient has read a word or even glanced at the subject line. So a 60 or 70% open rate isn’t 60 or 70% of people reading your email. It’s mostly software.
The first honest signal in cold email is a reply. Someone read enough to respond. Every benchmark that follows is built on replies and booked meetings for that reason, because those are the points where a real person did something.
Cold Email Benchmarks
Start with the one number that matters most, which Smartlead frames as contacts per reply. It’s the reply rate flipped around, counting how many people you contact to earn one reply.
Here’s the range across all those senders:
- Top 5% earn a reply every 26 contacts
- Top 10% every 38
- The typical sender every 135
- The bottom 10% past 600
If you think in percentages, 38 contacts per reply works out to about a 2.6% reply rate, 135 is around 0.74%, and 625 is roughly 0.16%. The contacts-per-reply framing is more useful for planning, though. If you’re at the typical rate and you need 10 replies to hit your pipeline goal, you’re planning for about 1,350 contacts.
📖 Definition
Contacts per reply is how many people you email to get one reply back. So 135 contacts per reply is the same as a 0.74% reply rate, just expressed in a way that’s easier to plan around.
Bounce Rate Matters Too
Before you worry about reply rate, check your bounce rate, because it can quietly shut down everything else.
The typical sender bounces about 1.54% of the time. The danger line sits around 2%. Cross that line and email providers start treating you as a risk, which means your future messages get filtered into spam or blocked before anyone sees them. The weakest quarter of senders run above 3.21%, and most of them have no idea their deliverability is the reason their replies dried up.
Bounce rate is usually the first place a bad list shows up. Cheap, bulk-bought contacts bounce, while lists you’ve verified recently mostly don’t.
Don’t let your bounce rate drift past 2%. Once you cross it, providers start filtering your future emails, and you can spend weeks wondering why your replies vanished when the real problem is a list that needs cleaning. Run new lists through a verification tool before your first send.
List Size and Sending Pace
Bigger lists feel like progress. The data says otherwise.
The typical campaign contacts 499 people, and larger lists tend to earn replies at or below the typical rate, while smaller, tighter campaigns do better. A focused list aimed at people who actually fit your product will out-reply a big loose one almost every time.
Sending pace works the same way. The typical sender sends about 14 emails per mailbox per day, and the widely used safe limit is 50. The senders getting the best results keep the pace moderate and add more mailboxes when they want to scale, which spreads the sending so no single inbox builds up enough bad marks to get flagged.
Write Fewer, Shorter Emails
Two findings here can save a time-strapped startup a lot of wasted effort.
The first is that your opening email does most of the work. It earns a reply every 85 contacts. By the seventh email in a sequence, that climbs to 303 contacts per reply, roughly three and a half times the effort for the same result. People rarely unsubscribe from later emails. They just stop reading. The typical campaign runs 3 emails, and the returns fade quickly past the fifth.
The second is that shorter emails win. First emails under 50 words earn a reply every 68 contacts, the best of any length. Emails in the padded 100 to 149 word range need 97 to get one response. The typical sender writes about 98 words, which sits right at the edge of that weaker zone, so most people would do better by cutting and making the message shorter.
One more number worth knowing for how you spend your time. About 64% of replies arrive within the first hour, and roughly 89% land within a day. If someone hasn’t replied within 24 hours, they probably won’t. That tells you to be ready to respond fast when a reply comes in, and to stop pinning your hopes on a follow-up you send five days later.
✅ Action Step
Rewrite your first email to be less than 50 words and cap your sequence at 3 to 5 messages. The opening email earns replies at more than three times the rate of a seventh, and shorter emails outperform longer ones, so this is close to free upside.
Cold Calling Benchmarks
Cold calling still works, and the funnel behind it is more forgiving than most founders expect once they see it laid out.
Belkins analyzed more than 175,000 dials, pulling from dialer data and a set of anonymized client campaign exports. The full funnel breaks down like this. About 9.9% of dials reach a live person. Of those connects, 58% turn into an actual conversation. And 4.6% of conversations end with a booked meeting. Run the math end-to-end, and it takes roughly 370 dials to book one meeting from a cold list.
That number can look brutal at first. It’s also the baseline you need to plan realistic call volume, and it improves fast once you account for the findings below.
Persistence Counts
The single most useful stat in the Belkins data is the gap between calling once and calling again.
Dial a prospect a single time and about one in ten calls connects. Dial the same prospect across several attempts, an average of three, and nearly one in four eventually picks up. That’s a 24.5% per-prospect connect rate, more than double the per-dial number. Most reps give up after one or two tries, which means they’re leaving the majority of reachable people untouched.
✅ Action Step
Build your call cadence around at least three attempts per prospect before you move on. Calling once reaches about 10% of your list, but three well-spaced attempts reach nearly 25%. The follow-up dials are where most of your connects actually come from.
Most Rejections Aren’t Rejections
Only 31% of non-bookings are hard rejections. The rest break down into softer outcomes. Nearly 19% of prospects who didn’t book asked for some kind of follow-up, by phone or email. Others hit a gatekeeper or turned out to be the wrong contact, which is a data problem you can fix rather than a real “no.”
So a call that doesn’t produce a meeting often produces a signal instead. Someone told you how they’d rather be reached, or when to try again. That’s worth logging.
When and Who to Call
Timing has a real effect, though a smaller one than persistence.
Wednesday produces the highest positive-outcome rate at 0.95% of dials, nearly double Friday’s 0.51%. The mid-afternoon window from 3 to 4 PM is the strongest sustained stretch of the day. The standard 9 to 11 AM power hours get the most dial volume, which also means that’s when your prospect’s phone is busiest with everyone else’s calls.
Who you call matters as much as when. Managers are the most reachable tier, picking up at an 11.1% live rate. Directors, when they engage, book the most actual meetings. C-level contacts are worth a note of caution, since they pick up at a decent rate but almost never book a meeting live on the call. Every C-suite positive outcome in the Belkins data was a request for a follow-up, usually an email, so it pays to have that email drafted before you dial them. The win with a C-level contact is getting them to say “send me something,” and you want that something ready before you hang up.
LinkedIn Benchmarks
LinkedIn has turned into the default first stop for a lot of B2B outreach, which means the bar for standing out keeps rising. Belkins tracked LinkedIn outreach across their own client records and more than 15 million outreach touchpoints from the Expandi platform, all from 2025.
Two headline numbers stand out. The average connection acceptance rate is about 26%, so roughly three out of four people you invite won’t connect at all. Of the people who do connect and get messaged, the overall reply rate is 7.2%, though it swings from 4.2% to 10.5% depending on the industry alone. A LinkedIn prospect finder helps sales teams identify relevant decision-makers, build qualified prospect lists, and start more targeted outreach before launching connection requests or follow-up campaigns, which can improve results.
The stage-by-stage funnel from Belkins’ own campaigns fills in the rest. About 18.7% of invited prospects accept the request, 17.6% of those connections reply once you message them, and 1.3% of connected prospects end up booking a meeting. Each drop-off compounds into the next, which is why small improvements early in the funnel matter more than they look.
The Connection Note Trade-Off
One of the first decisions in LinkedIn outreach is whether to add a note to your connection request.
Requests without a note actually get accepted slightly more often, 27.6% versus 25.3%. There’s less friction and nothing to evaluate, so it’s easy to click accept. But the people who accept a blank request are often just LinkedIn-active folks who connect broadly, and they go quiet when your first message shows up. Requests that included a personalized note produce a 55% higher reply rate down the line, 8.2% compared to 5.3%.
The note works as a soft filter. Someone who accepts knowing roughly what you’re about has already self-selected into a conversation. If you’re optimizing for replies and meetings rather than a bigger connection count, the note wins.
💡Pro Tip
Add a short personalized note to your connection requests even though it slightly lowers your acceptance rate. Note-accompanied requests reply at 8.2% versus 5.3% for blank ones, a 55% lift where it actually counts. Connection count is a vanity number. Replies are the one that turns into pipeline.
Match the Benchmark to Your Campaign Type
A 7% reply rate is only “good” or “bad” relative to the kind of campaign you’re running.
Messenger campaigns, which message people you’re already connected to, hit a 12.2% reply rate, the highest of any type. That’s not a cold number, since the audience already cleared the acceptance hurdle. Standard prospecting campaigns, where you send a connection request and follow up after acceptance, top out around 7.9% for strong performance. If you compare your cold prospecting numbers to a warm messenger benchmark, you’ll feel like you’re failing.
Persona and Market Set Your Baseline
Who you target moves your reply rate more than almost anything you can say in the message.
HR and Talent professionals reply at the highest rate of any group, 10.9%, since fielding outreach is native to how they work. C-level executives sit in the middle around 7.0%. Founders and Owners come in at 6.4%, which means founder-to-founder outreach needs sharp messaging to cut through the noise those inboxes already get. Marketing and Finance are the toughest, both replying below 6%.
Geography matters too, and it carries a warning for US-focused founders. The US sits near the bottom of major English-speaking markets at a 6.0% reply rate, behind the Netherlands at 10.5% and Canada at 7.1%. Years of heavy SDR outreach have made US professionals more tuned out. So if you’re running US campaigns and measuring yourself against the 7.2% global average, you’ll always feel a step behind a number that doesn’t describe your market. A realistic US baseline is closer to 6%, and clearing 8% is genuinely strong.
How the Three Channels Work Together
The call and LinkedIn data both point in the same direction, which is that these channels do more together than any one does alone.
Belkins runs calling as a third or fourth touch, after email has gone quiet, rather than as a cold first contact. A prospect who’s already seen your name in their inbox answers differently than someone hearing from you for the first time. The same logic runs backward. That 19% of call non-bookings who asked for an email follow-up are telling you exactly where to take them next. The prospects who kept hitting a gatekeeper on the phone are candidates for a LinkedIn message that reaches them directly.
None of this requires a sales team. It requires knowing your numbers on each channel and treating a miss on one as a handoff to another.
Start by pulling your own numbers. Calculate your response rates on email, your per-prospect connect rate on calls, and your reply rate on LinkedIn, then compare each to the range in this article. That distance to the top is your roadmap for the next quarter.
📋 Checklist: The Benchmarks Worth Tracking Per Channel
✅ Email: contacts per reply (typical 135, top 10% around 38), bounce rate under 2%, first-email reply rate
✅ Cold calls: per-prospect connect rate (near 24.5% across three attempts), conversation-to-meeting rate around 4.6%, dials per booked meeting
✅ LinkedIn: connection acceptance rate near 26%, reply rate (US baseline around 6%, above 8% is strong), replies that turn into meetings
