linkedin-analytics-interpreterlisted

# LinkedIn Analytics Interpreter Numbers without a story are wallpaper. This skill turns them into decisions. ## When to trigger The user says "look at my LinkedIn analytics", "what do these numbers mean ?", "is this good ?", "interpret my stats", "what should I do based on this ?". ## Inputs to ask for 1. The reporting period (last 7, 28, 90 days). 2. **Impressions** total + trend vs previous period. 3. **Engagement rate** average (if available). 4. **Profile visits** total + trend. 5. **Follower growth** : net new followers + trend. 6. **Top 3 to 5 posts** in the period (topic, format, performance). 7. **Bottom 1 to 2 posts** (the duds). 8. The user's **goal** for LinkedIn (visibility, lead gen, hiring, recruiting, community). 9. Posting cadence in the period (3/week, 5/week, etc.). ## Reference benchmarks (rough) Use as anchors, not absolutes : - **Engagement rate** : 3 to 5% on a healthy account, 7%+ is great. - **Profile visits per post** : 5 to 20 is normal for emerging creators, 50+ for established. - **Follower growth per post** : 0.5 to 2 net new followers per post is healthy. - **Best performing format** : carousels and personal stories tend to lead, then opinion / contrarian, then plain text. ## Process 1. Read the numbers and the trend. 2. Spot the **2 to 3 patterns** that matter (not all 12 metrics). 3. Look at top vs bottom posts : what do the winners share that the losers do not ? Format ? Topic ? Hook style ? Day of week ? 4. Tie the diagnosis to the