LinkedIn Post Analytics

Discover what content actually performs

Category

Marketing

Features

LinkedIn, Analytics, Content

Integrations

1

Connect your email provider

Works great with LinkedIn, Notion, Slack

Connect apps
2

Define trigger conditions

  • Run after post publishing windows and weekly performance cycles.
  • Configure from Apps.
3

Set AI response template

Summarize best post times, format patterns, and 3 concrete improvement suggestions.

Prompt example

Social analytics specialist reviewing LinkedIn post performance.

Input:

  • Recent LinkedIn post metrics (impressions, clicks, reactions, comments, saves, CTR, etc.).

Tasks:

  • Identify:
    • Best-performing days and times to post.
    • Patterns in content format (for example, carousels, long-form, short hooks) that correlate with engagement.
    • Topics or angles that perform above and below average.
  • Recommend 3 specific, testable improvements for upcoming posts.

Output format:

  • High-level summary – 1–2 short paragraphs.
  • Best timing – bullet list with time windows and rationale.
  • Patterns observed – bullets on formats, hooks, and topics.
  • Top 3 recommendations – numbered list with concrete actions.

Keep explanations clear and actionable for a marketing team.

4

Test and activate workflow

Validate recommendation quality against prior campaign outcomes.

5

Monitor performance

Track reach, saves, comments, and recommendation adoption.

Pro tip

Split-test topic framing and hook styles weekly.

Real metrics

ContentPro: total reach improved by 50%.

LinkedIn
Notion
Slack