Every marketer knows the feeling: it’s Monday, the client check-in is in two hours, and you’re still copy-pasting Facebook numbers into a spreadsheet. Reach, followers, engagement rate, link clicks, Reels performance – they’re all there in Facebook, but scattered across tabs and exports. A Facebook page report template in Google Sheets pulls those pieces into a single, living document. You can track growth, compare campaigns, and explain results without hunting through Meta’s dashboards. Templates also make your reporting consistent across clients and months, so anyone on the team can jump in and understand the story.
Delegating this to an AI agent matters even more. Instead of a human downloading CSVs, fixing columns, and updating charts, an AI computer agent can log into Facebook, export data, paste it into Google Sheets, refresh formulas, and even write narrative insights. That means no missed reports, no late nights, and more brainspace for creative strategy instead of spreadsheet chores.
If you run a business, agency, or busy marketing team, Facebook reporting probably steals more hours than you’d like to admit. The good news: you can start simple, then gradually hand the entire Facebook page report template over to an AI agent like Simular.
Below are three levels of sophistication: fully manual, semi-automated with Google Sheets, and fully automated with an AI computer agent.
When it’s useful: Small pages, new brands, or one-off reports.
Step-by-step:
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Cons:
When it’s useful: You want more structure but aren’t ready for automation.
Step-by-step:
=SUMIF and =AVERAGEIF to pull from raw data.Pros:
Cons:
Here, Google Sheets becomes your lightweight BI tool.
Approach:
Typical steps:
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This is where things get interesting. Instead of just connecting APIs, Simular behaves like a power user sitting at your computer – clicking through Facebook, exporting data, massaging it in Google Sheets, and even writing commentary.
What the Simular agent can do:
Pros:
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You’ll feel the tipping point when:
At that point, letting a Simular AI agent handle the boring parts frees you to focus on what actually drives revenue: interpreting the data, refining content strategy, and talking to customers—not wrangling CSV files.
Start by exporting your Facebook Page Insights as a CSV from Meta Business Suite. In Google Sheets, import the CSV to a ‘Raw Data’ tab. Then create a ‘Dashboard’ tab where you reference the raw data with formulas like SUMIF, COUNTIF, and AVERAGE. Add charts for reach, engagement, and follower growth, and save this as your reusable template for future reports.
Group KPIs into clear sections: 1) Audience (followers, net growth), 2) Reach & impressions, 3) Engagement (reactions, comments, shares, CTR), 4) Content performance (top posts, Reels). In Google Sheets, reserve a KPI summary area at the top pulling from detailed tables below. Use conditional formatting to highlight wins or drops so stakeholders can scan the template in seconds.
For most brands, weekly and monthly views are ideal. Create a tab per reporting period (e.g., ‘2025-03 Week 1’) that references a central Raw Data tab. If you’re still manual, block 30–60 minutes to export from Facebook and refresh the sheet. Once you use an AI agent like Simular, schedule it to refresh data automatically on your preferred cadence.
Create one Raw Data tab per page (e.g., Raw_Page_A, Raw_Page_B) and a combined ‘Summary’ tab. Use formulas like QUERY or FILTER to aggregate KPIs by page name. Build a dropdown selector to view metrics per page, or use separate dashboard sections. An AI agent can cycle through each Facebook Page, update each raw tab, and keep the master summary in sync.
With Simular, you configure an AI computer agent to mimic your own steps: logging into Facebook, exporting Insights, opening Google Sheets, pasting data into the right tab, and refreshing formulas and charts. After a few test runs and refinements, you can schedule the agent or trigger it via webhook, turning your Facebook page report template into a fully automated, always-current dashboard.