# What is a good LinkedIn invite acceptance rate?

**Short answer:** A healthy LinkedIn invite acceptance rate is 30-40% for cold outbound to a well-targeted ICP. Above 40% means your targeting and messaging are excellent; below 20% triggers LinkedIn's spam algorithms and risks restrictions.

Acceptance rate is the single most-important LinkedIn outreach metric — both for pipeline and for account safety. LinkedIn's algorithm tightens restrictions automatically when acceptance drops below ~30% (the signal: 'this person is being ignored, slow them down'). Variables that move the rate: relevance of targeting (Sales Navigator filters vs. generic search), opener quality (personalized first line vs. blank invite vs. generic template), sender authority (well-built profile with content beats new profile), and timing (invites sent Tue-Thu 9am-noon prospect time tend to perform 15-20% better than Mon/Fri). Track rolling 7-day acceptance rate, not lifetime — that's what LinkedIn's algorithm watches.

- 30-40% acceptance = healthy cold outbound benchmark
- Below 20% = LinkedIn algorithm tightens you automatically
- Above 40% = excellent targeting + messaging fit
- Track rolling 7-day window (matches LinkedIn's measurement)
- Personalized first line vs. blank: +15-25% acceptance lift

## Related

**Why are my LinkedIn acceptance rates dropping?**
Three usual causes: 1) Targeting drifted into less-relevant accounts, 2) Your opener feels generic or AI-detectable, 3) You crossed a volume threshold that LinkedIn started penalizing. Pause for 48 hours, tighten your ICP, rewrite openers.

**Should I send blank invites or use a note?**
Blank invites typically get 5-10% higher acceptance than note-bearing invites because they feel low-commitment. But notes let you qualify and warm up; many top performers blank-invite to fill the funnel, then personalize the first message after accept.


---

Canonical: https://linkedcamp.com/answers/linkedin-invite-acceptance-rate
Index: https://linkedcamp.com/llms.txt · Full export: https://linkedcamp.com/llms-full.txt
