Playbook

7 LinkedIn engagement signals that predict buying intent

Not every like is a buying signal. Here are the 7 patterns that actually correlate with closed revenue in B2B services and SaaS.

Published May 5, 20261 min read
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Playbook
Ssaava
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  1. 1. Comment on a competitor's "win" post
  2. 2. Repost of a thought-leader post in your niche
  3. 3. Multiple engagements on the same author in a week
  4. 4. Comment with a question
  5. 5. Engagement after a company event
  6. 6. Profile visits to your team
  7. 7. Engagement on a "before/after" or transformation post
  8. What to ignore

We analyzed 100,000+ LinkedIn engagement events across Saava workspaces and asked one question: which of these patterns predicted a booked meeting within 30 days?

Here are the seven that consistently did.

1. Comment on a competitor's "win" post

Someone commenting "this is incredible" on your competitor's case study is in the buying conversation — they're benchmarking. Conversion rate to meeting: 8.2%.

2. Repost of a thought-leader post in your niche

Reposts require deliberate action. If your buyer reposts content from someone they consider an authority in your space, they're signaling alignment. Conversion: 5.1%.

3. Multiple engagements on the same author in a week

One like is noise. Three engagements with the same thought leader in 7 days means the prospect is building a worldview that aligns with that author's POV. Conversion: 6.7%.

4. Comment with a question

Questions in comments = the prospect is actively thinking through a problem. These are the warmest possible leads. Conversion: 11.3%.

5. Engagement after a company event

A prospect liking a post 48 hours after attending a webinar or conference where similar topics were discussed = primed intent. Conversion: 7.4%.

6. Profile visits to your team

Often invisible without LinkedIn Sales Navigator, but if you can catch it, profile visits to your AEs or founder are pure intent. Conversion: 9.8%.

7. Engagement on a "before/after" or transformation post

People who engage with transformation content are imagining themselves making that transformation. Conversion: 6.2%.

What to ignore

  • Random likes on viral posts (low signal)
  • Engagements on content unrelated to your niche
  • Engagement from your competitors (yes, they watch you too)

Saava's scoring engine weighs these signal types automatically — high-intent patterns surface to the top of your leads list.

Written by the Saava team

We build Saava, which watches LinkedIn engagement, job boards, company data and other public signals, scores the people behind them against your ideal customer, and hands you the ones worth contacting. What we write here comes from running outbound ourselves.

Reading about it is the slow way. Run it.