What 161 LinkedIn invites got us in month one: real numbers from our first client
NudgeLink team · Published · Last updated · 4 min read
Most LinkedIn outreach content is either "10x your pipeline" screenshots or vague advice with no numbers. So here are ours: the full first month of our first paying client, a B2B company running outreach from one LinkedIn account with NudgeLink. The client stays anonymous, but the numbers are real and unrounded.
The setup
- One LinkedIn account, the client's own profile, run day to day by our COO.
- Started in late August 2026. Everything below covers the first month.
- Targeting: decision-makers matching the client's ideal customer profile. NudgeLink found the leads, scored them against the profile, and dropped the ones that didn't fit.
- Sequence: a connection request, then a short first message once they accepted, then follow-ups. Every message was written for that specific person from their profile and activity. No templates with
firstNameswapped in. - Comments: the account also left thoughtful comments on prospects' posts, so the name was familiar before the message landed.
The numbers
| Metric | Month one |
|---|---|
| Connection requests sent | 161 |
| Accepted (of 141 checked so far) | 47, a 33% acceptance rate |
| First messages sent | 51 |
| Replies | 13 |
| Positive replies (interested, asked for details, or agreed to talk) | 8 |
| Neutral replies | 5 |
| Negative replies | 0 |
| Comments left on prospects' posts | 43 |
A few ways to read that:
- 33% acceptance with blank invites (no note) to cold decision-makers. The usual range people report for cold B2B invites is roughly 20–40%, so this is healthy, and it keeps the account in good standing with LinkedIn.
- 13 replies from 51 messages is a 25% reply rate on people who accepted. Measured against every invite sent, it's 8%.
- 8 positive replies in a month from one account, with zero negative. Nobody told us to go away.
What worked
Short first messages with no pitch. The first message after someone accepted was two or three sentences: something specific about them or their company, and one easy question they could answer in a line. The product came up only after they replied. That's where most of the positive replies came from.
Leads that actually fit. Profiles that didn't match the client's ideal customer were rejected by scoring before anyone contacted them. That costs something (scoring isn't free), but it's why acceptance stayed at 33% instead of sliding toward the teens. Sending to people who obviously aren't a match is the fastest way to tank acceptance, and acceptance rate is one of the main things LinkedIn watches.
Comments alongside the sequence. 43 comments on prospects' posts over the month. It's slow and hard to measure on its own, so we don't claim a number for it, but it keeps the account looking like a person rather than an outreach machine, and it means the name isn't completely new when a message arrives.
What we'd do differently
Send more. This is the big one. The account sent at roughly 30% of the pace the product allows. The COO ran it carefully, which was the right call for a first client, but it means these results came from about 5–6 invites a day. At a still-conservative 15–20 a day, the same conversion rates would give you three times the conversations. For month two, and for new clients, we're agreeing a pace up front.
Track what happens after the reply. We know 8 people replied positively. We don't yet know how many of those turned into calls, because that happened in the client's own inbox and calendar. From now on we track reply → call → deal, so the next case study can report meetings, not just replies.
Check acceptances faster. 20 of the 161 invites hadn't been checked for acceptance when the month closed. That's a small blind spot, but it means the real acceptance rate could move a little either way.
Is this good?
For one account, one month, and a cautious pace, yes. It isn't a viral "we booked 40 meetings" story, and we'd be suspicious of anyone who claims that from a single LinkedIn profile in a month.
What it shows is that the thing we care about works: messages written for one specific person get answered, and they don't annoy the people who receive them. Scaling from here is mostly about volume and more accounts, not about a different approach.
If you want the same thing for your company, we run managed pilots where we set up and run the campaign for you, with a guarantee of at least 5 positive replies from decision-makers in the first 30 days. Write to hello@nudgelink.co.