Metric name
Display only supported values.
ANALYTICS & GROWTH
Understand the signals behind your LinkedIn content
Elaryx Analytics & Growth organizes the LinkedIn post, campaign and audience metrics available to the connected account, explains how supported values are calculated and compares performance over time. It can suggest content questions or next actions, but it does not guarantee growth or prove causation.
Defined metrics · Visible data availability · Guidance, not guarantees
DATA AVAILABILITY
Show only the data the account can support
Metric availability depends on the account, permissions, API support, selected plan and stored history. Elaryx should never substitute zero for unavailable data.
Source
Identify whether data comes from LinkedIn, stored post history or campaign mapping.
Refresh cadence
Show actual update timing and latest successful sync where available.
Current status
Explain unavailable, partial or delayed data.
METRIC DEFINITIONS
Know what each number means
Every calculated metric should document numerator, denominator, timeframe, rounding and missing-value behavior.
Impressions
Views or impressions when supported by the provider.
Reactions and comments
Engagement signals available for supported posts.
Engagement rate
Only show when the required denominator is available.
Campaign aggregate
Roll up campaign-linked posts when data exists.
INSIGHT METHOD
How performance becomes an insight
Elaryx should distinguish observed facts from AI-generated hypotheses.
Inputs
Supported post and account metrics, campaign mapping, categories and date range.
Analysis
Trend calculation, baseline comparison, grouping and availability checks.
Outputs
Metric summaries, comparisons, top-content views and cautious recommendations.
User decision
Apply, reject or investigate the recommendation.
HONEST STATES
Honest analytics when data is incomplete
New accounts, disconnected profiles, missing permissions, delayed provider data and partial history all need clear explanations and supported next actions.
HOW IT WORKS
From input to controlled output
Analytics & Growth works best when the user can see what goes in, what Elaryx produces and where human review remains required.
- 01 Publish Create and publish content.
- 02 Observe Collect available metrics.
- 03 Compare Review period and campaign patterns.
- 04 Hypothesize Turn a pattern into a testable question.
- 05 Adjust Use learning in the next plan.
USE CASES
Where this feature fits
Founders
Understand which topics start conversations.
Teams
Review content rhythm and campaign patterns.
Agencies
Explain data availability and limitations to clients.
Campaign owners
Compare themes without claiming causation.
FAQ
Questions about Analytics & Growth
Which LinkedIn metrics can Elaryx display?
Metric availability depends on the account, LinkedIn permissions, API support, selected plan and stored history. Elaryx should show only values it can retrieve or calculate reliably.
How is engagement rate calculated?
The page and product must display the exact formula used, including numerator, denominator and timeframe. If the necessary denominator is unavailable, Elaryx should not present a misleading engagement rate.
Are analytics updated in real time?
Do not claim real-time updates unless the integration and backend support them. The product should display its actual refresh cadence and the latest successful data time.
Can Elaryx tell me why a post performed well?
Elaryx can show patterns and propose hypotheses, but performance data alone usually cannot prove why an outcome occurred. Recommendations should be treated as ideas to test.
Does Analytics & Growth guarantee more followers or leads?
No. Analytics can inform decisions, but follower, engagement, lead and revenue outcomes depend on many factors and cannot be guaranteed.
Know what happened and what to test next
Review supported metrics, understand the comparison and use the pattern to make a more informed content decision.