Impressions are a vanity metric until you weight them by who saw the post

Impressions are a vanity metric until you weight them by who saw the post

The question: are raw impression counts meaningful for B2B, or does the composition of the audience matter more than the number?

The dataset: account-level analyses pairing impression volume with audience-fit data (job titles, seniority, company size) to separate 'reach' from 'relevant reach.'

Three findings:
— Posts that went broadly viral often pulled impressions from outside the target buyer profile — high numbers, low fit.
— Narrowly relevant posts with far smaller impression counts produced more profile visits from in-profile accounts and more meaningful follows.
— A small set of right-fit impressions frequently outperformed a large set of wrong-fit ones on every downstream metric.

Caveats: audience-fit data on the impression level is coarse and often inferred, not measured; samples skew to accounts with analytics access. Treat as directional.

What it means for B2B: chasing impression growth can actively mislead — virality among the wrong audience trains your content instincts to please non-buyers. Define a 'qualified impression' (right title, right company size) and judge posts on that, accepting lower headline numbers.

Bottom line: 10,000 wrong impressions lose to 500 right ones — count audience, not just eyeballs.