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How to Analyze the LinkedIn Post Performance in Coda

Updated on:
May 12, 2026
By:
Madhav Bhandari
Use this interactive demo to learn how to build a LinkedIn post performance tracker inside Coda.

Quick summary

This demo shows how to track LinkedIn post performance in Coda by inserting a Grid table, adding labeled columns and rows for each metric and post, entering analytics data, and formatting cells for easy analysis. By the end, you have a structured LinkedIn analytics table inside your Coda doc ready to compare post results.


Steps

  1. Inside your Coda doc, find and click the Insert button.
  2. Choose Grid from the list of options.
  3. Click Add Column to insert as many columns as needed based on the metrics you want to track.
  4. Click Add Row to insert as many rows as you need for each post.
  5. Click each column header cell and type or paste the label directly from LinkedIn's analytics dashboard.
  6. Label each row with a unique name identifying the LinkedIn post you want to monitor.
  7. Highlight the column header and use Text Formatting or Cell Color to customize the header style.
  8. Apply the same formatting to row labels if you want to change their default styles.
  9. Enter data into the table cell by cell — type manually or paste from LinkedIn's analytics dashboard.
  10. Highlight the data cells and use the floating bar to adjust text format and cell color as preferred.
  11. The completed LinkedIn post analytics table is now saved in your Coda doc — use the figures to analyze post performance.

📌 Why this matters

Tracking LinkedIn post performance in Coda gives marketers and content teams a centralized, customizable workspace to monitor key engagement metrics — such as impressions, clicks, and reactions — without relying on LinkedIn's native dashboard alone. Coda's flexible Grid tables let teams structure analytics data exactly as they need, apply custom formatting, and reference performance figures alongside other campaign data in one doc. This approach is especially valuable for teams managing multiple LinkedIn posts or campaigns who need a repeatable, structured reporting workflow. Building a LinkedIn analytics tracker in Coda reduces manual reporting time and makes post-performance insights immediately actionable for content strategy decisions.
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