Your first 10 customers: an outbound plan for founders

Work backwards. With a 20% close rate on held meetings, you need 50 held meetings for 10 customers. If half of booked meetings are held, that is 100 booked. At our best audience rate of 4.54 booked per 100 messaged you need about 2,200 people messaged, at the untagged rate 1.16 about 8,600, and at the Sales Navigator search rate 0.71 about 14,100. The audience, not the copy, decides how long it takes.

Founders ask how much outbound they need to land the first ten customers. The honest answer is a formula with three rates in it. Two you can measure from your own campaign. This post shows the calculation, uses our own rates for the one we can supply, and states the assumptions for the others so you can change them.

What is the formula?

People messaged = customers wanted ÷ close rate ÷ held share ÷ (booked per person messaged).

Or in steps:

1. Customers wanted: 10.
2. Held meetings needed: customers ÷ close rate.
3. Booked meetings needed: held meetings ÷ the share of booked meetings that are held.
4. People to message: booked meetings ÷ booked per person messaged.

Which numbers go in?

Booked per 100 messaged: our data. On our own LinkedIn outbound, by where the lead came from: intent signal 4.54, untagged list 1.16, Sales Navigator search 0.71. One account, one offer, and not a forecast for you.

Held share: an assumption. On our account 351 meetings were booked and 33 were confirmed held, but "confirmed held" is a strict lower bound, not the true show rate. For this example we assume that half of booked meetings are held. If your own show rate is lower, add booked meetings.

Close rate: an assumption. We assume 20% of held meetings become customers. Your rate depends on price, sales cycle and fit. Use your own number if you have one, and a conservative guess if you do not.

What does it come to?

With 10 customers, a 20% close rate, a 50% held share:

• Held meetings needed: 10 ÷ 0.20 = 50.
• Booked meetings needed: 50 ÷ 0.50 = 100.

"People messaged" means people who accepted and received a message, as in our case study. At the 41% acceptance we saw on our own account (about 4 in 10 across 42 customer teams in the 90 days to 19 September 2026), you need about 2.4 invitations per person messaged. The months column uses Sellinger's default of 150 invitations a week per LinkedIn account, about 600 a month. The point is the spread: more than a factor of six between the best and the worst source, with the same agents.

What does this tell you?

Audience first. A founder with a signal based list needs about nine months on one account in this model, or a few accounts for a quarter. A founder with a broad search list needs years on one account. Nothing you write in the message closes that gap. See intent signals worth acting on.

Check the rates early. After your first 200 messages you will have a rough booked per 100 rate. If it is far below the table, change the audience before the copy.

Held meetings are the unit. A plan built on booked meetings overstates what you get. Count meetings held (count meetings honestly).

Capacity is real. One LinkedIn account has limits. Reaching more people means more accounts, a second channel or a tighter list. Our own headline is over 1,500 calls booked in 12 months using on average 7.5 LinkedIn accounts, which is many accounts working small lists.

How do you get there faster?

• Narrow the audience. A tighter list raises the booked rate.
• Start from a signal. People already engaging with your topic.
• Add the second channel for people who never saw the first message (multichannel sequence).
• Improve conversion, not just booking. A better offer raises the close rate and shrinks every row of the table.
• Use customers. Referrals do not appear in this model, and they are usually the cheapest customers you will get.

What if your close rate or show rate is different?

The table uses two assumptions, so test how sensitive the answer is. Keep the intent signal rate of 4.54 booked per 100 messaged and 10 customers wanted, and change one assumption at a time.

A halved close rate doubles the people you need. A lower show rate raises it by the same logic. Both are about as powerful as moving between lead sources, so measure your own close rate on the first ten held meetings before you commit to a list size.

Can you do it with a smaller list?

Yes, if each person is a better fit. The table shows what happens at the rates we saw, and your own rate on a tight list may be higher or lower. The way to find out is to run 200 people first. If 200 messaged people produce 9 booked meetings, you are at 4.5 per 100 and the first row applies to you. If they produce 1, you are near the third row and the audience needs work before the volume does.

What does a made up founder timeline look like?

An illustration, not a customer. A founder has one LinkedIn account and a signal based list, and wants 10 customers.

• Weeks 1 to 4. Two lists of 200 from different sources, same offer, approval on. At the end she counts booked and held meetings per 100 messaged for each.
• Weeks 5 to 8. She keeps the better list, widens it to 500 and reads every flagged conversation.
• Weeks 9 to 12. She adds a second LinkedIn account or the email channel for people who never saw the first message.
• Month 4 onward. She re-runs the table with her own close rate from the first held meetings.

The point of the schedule is that the first month tests the audience, and everything after depends on that result.

Why is the invitation cap the real constraint?

Because the formula counts people messaged, and a person is only messaged after accepting. At 41% accepted you need about 2.4 invitations per person messaged, and at 150 invitations a week one account sends about 600 a month, so one account reaches about 250 people a month. That is the reason a good audience matters more than a better message: a message cannot raise the 250. Adding accounts multiplies it, which is how our own account booked over 1,500 calls in 12 months on average 7.5 LinkedIn accounts.

What does the first month look like?

1. Pick two audience sources and build 200 people from each.
2. Run the same offer and opener on both, with approval on.
3. After four weeks, count booked and held meetings per 100 messaged for each.
4. Keep the better source and re-run the table with your own numbers.

If you are a solo founder and want a worked example of discovery rather than selling, the ShortVibe study booked 19 calls from 935 conversations (case study, and the founder playbook). For the larger picture, read outbound sales strategy.