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GrowPython team, Editorial. Published 25 October 2026. 2 min read.

Outreach produces a lot of numbers. Five of them tell you what to change. This guide defines each one, shows how to work it out and says what a weak result usually means.

The five numbers

What to track, how to calculate it, and what a low number usually points to
MetricHow to calculate itIf it is low, look at
Acceptance rateAccepted requests divided by requests sentWho you are targeting, and what your profile says about you
Reply rateContacts who replied divided by contacts who acceptedThe first message: is it specific, short and easy to answer?
Positive reply rateInterested replies divided by all repliesWho you are targeting, and what you are offering
Meetings per 100 contactsMeetings booked divided by contacts reached, times 100The step from reply to meeting: how fast you answer, and how you ask
Restriction eventsA count of warnings or restrictions on the accountVolume and pace. Any event is a signal to slow down

A worked example

These numbers are made up to show the arithmetic, not to suggest what is normal. Suppose you send 200 requests, 80 are accepted, 20 of those people reply, 8 of the replies are interested and 3 become meetings.

  • Acceptance rate: 80 / 200 = 40 percent.
  • Reply rate: 20 / 80 = 25 percent.
  • Positive reply rate: 8 / 20 = 40 percent.
  • Meetings per 100 contacts: 3 / 80 x 100 = 3.75, counting the 80 people reached.

Always say what you divided by. A reply rate against requests sent and a reply rate against requests accepted are different numbers, and mixing them is how teams fool themselves.

Change one thing at a time

If you change the audience, the message and the timing together, you will not know which one moved the result. Change one, run it long enough to see a difference, then change the next. If your tool supports it, test two versions of a message against each other.

What to ignore

  • Total requests sent. Volume without results is a cost, and more volume raises the account risk.
  • Profile views. They show activity, not interest.
  • Other companies' reply rates, for the reasons above.

For how volume relates to account risk, read Is LinkedIn automation safe?

Questions

What is a good reply rate?
There is no reliable universal figure. Track your own reply rate over time and test one change at a time.
Should I count automatic replies?
No. Count only replies from the person, and say in your notes how you counted so results stay comparable.

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