Founder experiment · Original LinkedIn analytics
2.2 million LinkedIn impressions.Only 3,568 link engagements.
I'm building Aiso, and I use LinkedIn to reach people who might never otherwise come across us. I pulled my content analytics into a funnel. The biggest number looked great. The last number was a useful reality check.
2,231,030
Impressions
957,360
Members reached
20,887
Social engagements
3,568
Link engagements
First-party data
The LinkedIn distribution funnel
Members reached / impressions = 42.9%. This compares different units, so it is not a conversion rate.
0.94%
Social engagements / impressions
20,887 reactions, comments, saves, reposts and sends combined
0.16%
Link engagements / impressions
3,568 recorded link engagements, not verified customers
The number that surprised me was 86%
Most of the impressions came from people outside my LinkedIn network: 86% out of network versus 14% from followers and connections. That's roughly 1.92 million out-of-network impressions. Not 1.92 million new people, because one person can receive more than one impression.
For an early-stage B2B company, this matters. My posts can travel beyond people who already know me or Aiso. A founder account can distribute an idea well before the company has a large audience of its own.
Then I looked at the actions
The same analytics report shows 20,887 social engagements. These are worth separating, because a comment, a saved post and a link interaction tell us different things.
Where the 20,887 social engagements came from
- Reactions
- 12,444
- Comments
- 4,007
- Saves
- 3,267
- Sends on LinkedIn
- 874
- Reposts
- 295
There were 4,007 comments and 3,267 saves. Those are useful signals that some readers wanted to engage with the ideas, not just tap a reaction. But they are still platform actions. We cannot turn them into pipeline numbers without connecting them to actual leads and opportunities.
2.2 million impressions did not mean 2.2 million site visits
LinkedIn reports 3,568 link engagements in this snapshot. Relative to 2,231,030 impressions, that's 0.16%, or about 1.6 link engagements per 1,000 impressions.
It would be tempting to call this an impression-to-click conversion rate. I won't. LinkedIn labels this measure "link engagements", and these are aggregate platform totals. The screenshot does not identify unique visitors, sign-ups, leads, sales or the exact set of posts driving each action.
The 20,887 social engagements are not the people who then produced the 3,568 link engagements. They are two separate branches after discovery. That distinction matters if you want a chart you can actually make business decisions from.
What I would measure next as a founder
I would keep the visibility and engagement metrics, but add a second measurement layer on the website: sessions from LinkedIn, qualified sign-ups, booked conversations and customers. Use consistent tracking links where possible and ask new prospects how they found the company. Some readers will visit later or search for the brand instead of clicking directly from the post.
This is especially relevant to us at Aiso. We study how brands appear in AI answers. Being recommended in an AI answer and receiving a website click are not the same event, either. A useful distribution dashboard should show both the exposure and the downstream actions rather than pretending every buyer follows a neat, single-path funnel.
What this snapshot proves, and what it does not
It shows that my content earned distribution well beyond my network and generated a meaningful amount of conversation. It does not show a customer acquisition rate, a revenue figure, or a proven causal link between any individual post and a sale.
When founders share huge view counts, I'd like to see the next line in the analytics too. It's more useful, and a lot more interesting, than a screenshot of impressions alone.