🤖 AI Prompt - How to Analyze Your Substack Newsletter with AI for Maximum Growth

AI can help Substack writers perform deep analyses of their newsletter performance, leading to better engagement, subscriber growth, and monetization.

If you’re running a Substack newsletter, you probably wonder:

Which posts perform best?

How can I get more subscribers?

What’s the best way to increase engagement?

Luckily, AI can help!

With the right approach, you can analyze your Substack data in-depth to uncover trends, optimize your content, and grow your newsletter like never before.

In this post, we’ll walk you through how to export your Substack data, analyze it using AI, and interpret the results to improve open rates, subscriber growth, and engagement.

How AI Can Help You Analyze Your Substack Newsletter

Instead of manually combing through data, AI can quickly process large datasets and provide actionable insights.

Here’s what AI can do for you:

• Engagement Analysis – Identify patterns in open rates, likes, comments, and shares.

• Subscriber Growth Tracking – Determine which posts drive the most free and paid subscribers.

• Email Performance Evaluation – Pinpoint the best times/days for sending emails.

• Content Strategy Optimization – Discover what topics and styles work best.

• Community Engagement Insights – Learn how to encourage more discussions and shares.

• Monetization Strategies – Find ways to convert more free subscribers into paying ones.

With AI, you can fine-tune every aspect of your newsletter strategy and maximize growth.

Here’s the Improvement Report I gotten for Solopreneur Code

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Steps to Follow

Step 1: Export Your Substack Newsletter Data

To analyze your newsletter performance, you first need to export your data from Substack.

Follow these steps:

1. Go to Substack Stats – Click on “Stats” in your Substack dashboard.

2. Navigate to Emails – Select the “Emails” section to view performance metrics.

3. Copy and Paste into Excel – Export key data points like:

   1. Post title

   2. Date and time

   3. Audience type (Free or Paid)

   4. Email deliveries

   5. Open rates

   6. Likes, comments, shares

   7. Free and paid subscriptions driven by the post

4. Save the file – Convert it into an XLS or CSV file for easy processing.

Step 2: Use AI to Analyze Your Substack Data

Once your data is ready, you can upload it to an AI tool like ChatGPT (or another AI-powered data analysis tool).

Here’s a simple prompt you can use: