linkedin-metrics-reviewlisted

# LinkedIn Metrics Review Turn LinkedIn analytics into one decision per week. Most people track impressions, feel bad, and change nothing. This skill fixes that by ranking metrics by how close they sit to revenue. ## The metric hierarchy Read bottom-up. A win at a lower tier that does not move an upper tier is not a win. | Tier | Metric | Why it matters | |---|---|---| | 1. Revenue | Clients closed, revenue from LinkedIn | The only number that ends the argument | | 2. Pipeline | Calls booked, qualified conversations | Predicts tier 1 in 30–60 days | | 3. Intent | Inbound DMs, comment-to-DM conversions, link clicks, lead magnet opts | Predicts tier 2 | | 4. Interest | Profile views, search appearances, follows from target audience | Predicts tier 3 | | 5. Attention | Impressions, reactions, comments, saves | Cheapest to move, easiest to fake | Rule: report every review from the top down. If impressions doubled and DMs did not move, the content reached the wrong people. Say that plainly. ## What each number is actually telling you - **Impressions** — distribution, nothing else. High impressions with low profile views means the hook worked and the identity did not. - **Reactions** — the weakest signal. Cheap to give, easy to farm. - **Comments** — real interest, and they extend reach. Comments that ask questions are near-buying signals. - **Reposts and saves** — the strongest content signals. Saves mean useful, reposts mean the reader staked their reputation on it.