How to Build Instagram Insights in Google Sheets Guide

1. Manual ways to build an Instagram Insights template

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1.1 Export or read Insights from Instagram

1. Switch your Instagram account to a professional account if you haven’t already (required for Insights). See Instagram’s Help Center: https://help.instagram.com
2. In the Instagram mobile app, go to your profile.
3. Tap Professional dashboard or Insights.
4. For each key area (Overview, Content You Shared, Audience), note metrics like:
   • Accounts reached
   • Accounts engaged
   • Followers and growth
   • Content interactions (likes, comments, saves, shares)
5. For posts, open each one, tap View insights, and record impressions, reach, profile visits, website taps, etc.

This is slow but useful for understanding which metrics you truly care about before you automate.

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1.2 Create a base template in Google Sheets

1. Open https://sheets.google.com and start a new blank sheet.
2. On Sheet 1 – Summary, create columns:
   • Date range
   • Accounts reached
   • Accounts engaged
   • Impressions
   • Link clicks / Website taps
   • Follower count (start/end) and growth
3. On Sheet 2 – Content, create columns:
   • Date
   • Post link
   • Format (Reel, Story, Post, Carousel)
   • Impressions
   • Reach
   • Saves
   • Shares
   • Comments
   • Link clicks
4. Manually type or paste the numbers you collected from Instagram.
5. Use Google Sheets’ chart tools to visualize trends (see Google Docs Help Center: https://support.google.com/docs > search "Create a chart").

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1.3 Add charts and simple KPIs

1. On the Summary sheet, create formulas:
   • Engagement rate = total interactions / accounts reached
   • Follower growth % = (end followers – start followers) / start followers
2. Select your data range and insert line charts for reach, engagement, and follower growth.
3. Use conditional formatting to highlight top‑performing posts (e.g., saves or clicks above a threshold).

Manual pros:

• Full control and deep understanding of every metric.
• Great for very small accounts or early experimentation.

Manual cons:

• Time‑consuming and error‑prone.
• Doesn’t scale for agencies or multiple brands.

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2. No‑code automation with connectors and tools

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2.1 Use a Google Sheets add‑on or connector

Several tools (like the ones you’ve seen from Porter, Coefficient, or similar) plug Instagram Insights directly into Google Sheets. The general no‑code pattern is:

1. Install a Sheets add‑on from the Google Workspace Marketplace.
2. Connect your Instagram (usually via Facebook/Meta login).
3. Choose metrics (reach, impressions, followers, post‑level stats) and date range.
4. Schedule automatic refreshes (e.g., daily at 7am) into a dedicated raw‑data sheet.

Once data is flowing, point your Summary and Content sheets to that raw data using formulas like =FILTER, =QUERY, or pivot tables. You never touch raw exports again.

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Pros:

• No engineering required.
• Reliable scheduled imports.
• Great for multi‑client reporting.

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Cons:

• Limited to what the connector exposes.
• Logic lives inside the add‑on, not your own stack.

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2.2 Build reusable dashboards in Sheets

1. Keep Raw Data on one sheet, fed by your connector.
2. Build a Dashboard sheet that:
   • Uses pivot tables grouped by week/month and post type.
   • Shows top 10 posts by saves, clicks, or profile visits.
   • Breaks down reach vs engagement for each campaign hashtag.
3. Use Protected ranges for formulas so team members don’t accidentally break the template (see Google Sheets help: https://support.google.com/docs > search "Protect sheets and ranges").
4. Share dashboards with clients via View only access.

No‑code dashboards give you 80% of the value without code—but you still have to set up and monitor connectors, and someone must own the spreadsheet logic.

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3. Scaling with AI agents (Simular) at desktop level

Here’s where an AI computer agent like Simular Pro turns your template into a self‑updating reporting system.

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3.1 Agent‑driven Instagram → Sheets sync

Instead of manually navigating connectors, Simular Pro can operate your computer like a power assistant:

1. You define the goal in natural language: “Every Monday at 8am, open Instagram on web, capture Insights for the last 7 days, update my ‘IG_Insights’ Google Sheet, and refresh charts.”
2. The agent:
   • Opens your browser, logs into Instagram, and navigates to Insights.
   • Reads reach, engagement, followers, and post‑level stats directly from the interface.
   • Opens Google Sheets, locates the correct tab and date range, and pastes or appends data in the right cells.
   • Triggers any chart refresh or summary formulas.
3. Because Simular Pro is a full computer‑use agent, you can inspect each action, tweak the workflow, and re‑run it reliably across thousands of steps.

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Pros:

• Works even when APIs or connectors are limited.
• Reuses your existing template exactly as is.
• Transparent execution: every step is visible and editable.

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Cons:

• Requires an initial setup session to teach the agent.
• Best suited once you have a stable template and KPIs.

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3.2 AI agent as your reporting “operator”

Take it further:

1. Ask the agent to copy your base template for each new client or product line.
2. Have it connect each copy to the right Instagram account and naming convention.
3. Let it generate narrative summaries inside Google Sheets or Docs—e.g., “Top 3 posts this week and why they worked”—based on the data it just refreshed.
4. Integrate via webhooks so when a new campaign launches in your CRM, Simular spins up a fresh Instagram + Sheets template automatically.

This is where manual reporting becomes a hands‑off, always‑on system. Your team stays focused on creative strategy and sales, while the agent does the clicking, copying, and updating that used to eat your Mondays.