The Email Revenue Maximizer Prompt is designed to help ecommerce and marketing teams uncover actionable insights about their email marketing performance directly from their Polar Analytics data.

By leveraging the Polar MCP (Model Connection Protocol), this prompt automatically analyzes revenue attribution, campaign performance, and customer engagement across your email marketing tools — such as Klaviyo, Omnisend, or Mailchimp.

With a single query, you can:

Identify your highest-performing email flows and campaigns.
Uncover opportunities to boost engagement and conversions.
Measure the true impact of email on your overall revenue.

In this guide, you’ll learn:

How to use the Email Revenue Maximizer Prompt with Polar MCP.
What insights it provides and how to act on them.
Best practices for optimizing your email marketing strategy using Polar data.

What the Email Revenue Maximizer Prompt Does

The Email Revenue Maximizer Prompt transforms how ecommerce teams evaluate the ROI of their email marketing.

Instead of switching between platforms or exporting CSVs, you can instantly generate an AI-powered summary that explains how your email marketing contributes to sales, retention, and profitability.

Key Insights It Provides

Revenue attribution from email flows and campaigns.
Open, click, and conversion rates by campaign or customer segment.
Top-performing automations (e.g., welcome series, abandoned cart, post-purchase flows).
Revenue share of total sales driven by email.
Customer lifetime value (LTV) trends among email-sourced customers.

Example Output:

“In the last 30 days, your email channel generated $58,400 in attributed revenue, representing 28% of total sales. Your abandoned cart flow remains the top revenue driver ($21,500), while the post-purchase flow underperforms with a 1.6% conversion rate. Campaigns sent on Tuesdays show a 22% higher click rate than average.”

This type of insight helps you see both the impact and the missed opportunities in your email strategy — so you can adjust timing, segmentation, and messaging for maximum return.

How to Use the Email Revenue Maximizer Prompt

You can use this prompt in any AI tool connected to Polar MCP, including ChatGPT, Claude, or Make automations.

Step 1. Confirm Your MCP Setup

Before running the prompt, ensure your MCP connection is active and linked to your Polar workspace:

MCP Endpoint:
```
https://api.polaranalytics.com/mcp
```
Follow setup instructions here: Installing the Polar MCP.

Step 2. Use the Prompt

Copy and paste the following prompt into your connected AI tool:

Act as an ecommerce retention and email marketing expert.   Using my Polar Analytics data, provide an analysis of my email marketing performance for the last 30 days.   Include metrics like total revenue from email, conversion rate, engagement (opens and clicks), and top-performing campaigns or flows.   Offer 3 actionable recommendations to increase revenue from email.

Step 3. Customize the Prompt for Specific Insights

You can tailor the prompt to match your marketing focus:

By Flow: “Focus on performance of automated email flows, such as abandoned cart or welcome series.”
By Campaign: “Analyze my last 5 campaigns and their impact on total sales.”
By Segment: “Evaluate how VIP vs. new customers engage with emails.”
By Timing: “Identify the best days and times to send campaigns based on conversion data.”

Step 4. Review the Summary

The output will include both performance metrics and AI-driven recommendations — such as adjusting send frequency, optimizing subject lines, or reallocating time to the highest-ROI automations.

Example Query Variation:

“Compare email revenue from the last 30 days to the previous 30 days, and identify what changed in open and conversion rates.”

Best Practices for Increasing Email Revenue

To make the most of the Email Revenue Maximizer Prompt, follow these best practices:

1. Connect All Key Data Sources

Ensure your Polar workspace includes your ecommerce platform (e.g., Shopify) and your email provider (Klaviyo, Mailchimp, etc.).
This ensures MCP can accurately attribute conversions and track cross-channel behavior.

2. Focus on Flows First

Automated flows — like abandoned cart, welcome series, and post-purchase — typically generate the highest ROI. Use the prompt regularly to track flow performance and test updates (subject lines, send timing, or segmentation).

3. Segment and Personalize

Ask MCP to identify your best-performing customer segments or message types.
Example prompt:

“Which audience segments have the highest email engagement and conversion rates?”
Use this insight to double down on personalized content and improve targeting.

4. Analyze Holistically

Combine email insights with paid media data for a unified marketing view.
Example prompt:

“Show me how email-driven customers compare in LTV and repeat purchase rate to paid social customers.”

This allows you to understand email’s contribution to overall profitability and retention.

The Email Revenue Maximizer Prompt helps you move beyond vanity metrics and focus on what truly matters — driving revenue and retention from email.

By combining Polar’s unified data model with the power of MCP, you can: