---
title: "How to Analyse Facebook Post Reactions with your AI Agents"
last_updated: "2026-03-16T11:55:29.441Z"
category: "AI Agent How-tos"
canonical_url: "https://maybeclients.com/h/mash-help-centre/how-to-analyse-facebook-post-reactions-with-your-ai-agents"
help_centre: "MaSH! Help Centre"
---

# How to Analyse Facebook Post Reactions with your AI Agents

### What this article covers

This guide explains how to use your AI Agents to analyse reactions to Facebook posts from the past 30 days. By leveraging built-in capabilities such as automatic code interpretation, users can gain insights into audience engagement without needing to manually perform calculations or write analysis logic.

### What is Reaction Analysis?

Reaction analysis enables users to evaluate audience engagement by examining reactions to social media posts. It helps identify trends, recurring themes, and sentiment within user interactions, providing actionable insights to inform content and engagement strategies.

### Key features

- Automatic data retrieval: Collects reaction data from Facebook posts published within the last 30 days.
- Sentiment analysis: Identifies themes associated with specific reactions, such as angry or sad.
- Percentage calculations: Automatically calculates each reaction type as a percentage of total reactions.
### Example use cases

- Content performance evaluation: Assess how different content types resonate with your audience.
- Sentiment tracking: Monitor shifts in audience sentiment over time.
- Strategy optimisation: Adjust content strategy based on reaction trends to improve engagement.
### Step-by-step instructions

### How to analyse reactions with your AI Agents

1. Initiate the analysis:
Ask your AI Agents to analyse reactions to your Facebook posts from the last 30 days.

1. Identify themes:
If certain reactions (for example, angry) appear frequently, request an analysis of common themes associated with those reactions.

1. Request data presentation:
Ask for the reaction data to be presented as percentages of total reactions in a table format.

1. Review the output:
The AI Agents will automatically interpret the data, perform calculations, and present the results without requiring detailed technical instructions.

### How to use the results

- Understand audience sentiment: Use insights to better understand how your audience responds to your content.
- Refine content strategy: Make informed adjustments based on reaction patterns and sentiment.
- Improve engagement: Focus on content that generates positive reactions and reduce content that triggers negative responses.
### Best Practices

- Monitor reactions regularly: Track reactions consistently to identify emerging trends early.
- Analyse recurring themes: Pay close attention to repeated themes in negative reactions to address potential issues.
- Use insights strategically: Base content and engagement decisions on data-driven findings.
### Common issues

|  | Issue | Possible Cause | Suggested Solution |
|  | Missing reaction data | Facebook data not retrieved | Ensure the Facebook account or data source is properly connected |
|  | Incorrect percentage calculations | Data misinterpretation | Verify the input data and request a recalculation |
|  | Theme analysis inconclusive | Limited data volume | Expand the time range or include additional posts |
### FAQs

- Can this be used in automations?
Yes, reaction analysis can be incorporated into automated workflows for ongoing monitoring and reporting.

- Is this feature free to use?
Availability may depend on your subscription or plan level.

- Can I customise the analysis parameters?
Yes, you can specify different time frames or data sources when configuring the analysis.



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