This Repository Instagram Reach Analysis helps to analyze Instagram reach and engagement metrics, helping to uncover insights to optimize content and grow your audience effectively.
Understanding how your Instagram posts perform is essential for improving engagement and reaching a wider audience. This repository offers a comprehensive approach to analyzing:
- Audience reach and impressions.
- Engagement metrics such as likes, comments, and shares.
- Follower growth trends and performance.
- Content types that resonate with your audience.
Ensure you have the following installed:
- Python (3.8 or higher)
- pip (Python package manager)
-
Clone this repository:
git clone https://github.com/yourusername/instagram-reach-analysis.git
-
Navigate to the project directory:
cd instagram-reach-analysis
-
Install dependencies:
pip install -r requirements.txt
-
Place your Instagram data (e.g., CSV or JSON files) in the
data/
folder.
- Explore the Jupyter notebooks in the
notebooks/
folder for step-by-step guidance:jupyter notebook notebooks/
- Use the scripts in the
src/
folder for automated analysis:python src/analyze_reach.py
- Visualizations will be saved in the
visualizations/
folder for easy access.
Contributions are welcome! To contribute:
- Fork this repository.
- Create a new branch for your feature or bug fix.
- Submit a pull request with a clear explanation of your changes.