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This guide explains how to use Your AI to analyse reactions to Facebook posts over the past 30 days. Leveraging the platform's built-in capabilities, including automatic code interpretation, allows users to gain insights into audience engagement without needing to manually instruct the AI to perform complex calculations.
What is Reaction Analysis?
Reaction analysis in Your AI allows users to evaluate audience engagement by assessing reactions to social media posts. This feature helps identify trends, themes, and sentiments in user interactions, providing valuable feedback for content strategy.
Key features
- Automatic Data Retrieval: Pulls reaction data from the last 30 days of Facebook posts.
- Sentiment Analysis: Identifies themes associated with specific reactions, such as 'angry'.
- Percentage Calculations: Automatically computes the percentage of each reaction type relative to the total reactions.
Example use cases
- Content Performance Evaluation: Understand how different types of content resonate with your audience.
- Sentiment Tracking: Monitor changes in audience sentiment over time.
- Strategy Adjustment: Adjust content strategy based on reaction analysis to improve engagement.
Getting Started
How to Analyse Reactions with Your AI
- Initiate the Analysis: Start by asking Your AI to evaluate the reactions to your Facebook posts over the last 30 days.
- Identify Themes: If certain reactions, like 'angry', are prevalent, request Your AI to identify any themes associated with these reactions.
- Request Data Presentation: Ask Your AI to present the reactions as a percentage of total reactions in a table format.
- Review the Output: Your AI will use the code interpreter to calculate and display the data without needing explicit instructions from you.
How to Use the Results