Impressions & Engagement displays graphs showing how your LinkedIn performance metrics change over time. See whether impressions are growing, engagement is increasing, followers are multiplying, and how your activity correlates with these results.
Graph Options
Toggle between different metrics to analyze specific aspects of your performance:
Impressions
Total number of people who saw your posts during the period you have chosen in the top left date range within Lime’s Analytics dashboard. Tracks reach - how many eyes are on your content. Growing impressions indicate expanding visibility.
Engagements
Total number of people who engaged with your posts (likes, comments, shares, saves) during the period you have chosen in the top left date range. Measures how compelling your content is - people didn’t just see it, they interacted with it.
Follower Growth
Your total follower count (how the number grew - or declined - over the period you have chosen in the top left date range). Visualizes audience growth trajectory - showing a steady climb, plateaus, or drops.
Activity Logged
Comments, DMs, chats, and other interactions you logged in Lime during the period you have chosen in the top left date range. Shows your engagement effort. Note: If you haven’t logged any activity in Lime, this graph will be empty.
All Together
Displays impressions, engagements, followers, and logged activity on the same graph. Reveals correlations - does increased activity lead to more impressions? Do follower spikes follow engagement peaks?
In the All Together view, the top bar shows small green lines indicating when you posted on LinkedIn, allowing you to see whether posting frequency impacts other metrics.
Note about “All Together” view: The data is normalized to an index of 100 to make different metrics comparable on the same graph. This allows you to see proportional changes and relationships between metrics, even though the raw numbers (e.g. 5,000 impressions vs. 10 comments) are very different scales.
Time Granularity
Toggle data display between:
- Daily: Each data point represents one day - useful for seeing immediate impacts of specific actions
- Weekly: Data grouped by week - smoothes out daily fluctuations to show broader trends
