The Conversion Rate Optimization (CRO) Prompt helps you identify friction points, high-performing campaigns, and growth opportunities directly from your Polar Analytics data using the Polar MCP (Model Connection Protocol).
Instead of manually analyzing dozens of dashboards or metrics, this prompt allows you to generate an AI-driven analysis of your store’s conversion performance — complete with insights, explanations, and actionable recommendations.
With this prompt, ecommerce teams can quickly:
Diagnose issues affecting website or funnel conversion rates.
Identify top-performing products, channels, and landing pages.
Get tailored suggestions to improve checkout flow and campaign efficiency.
In this article, you’ll learn:
How to use the Conversion Rate Optimization Prompt within Polar MCP.
The types of insights it can uncover.
Best practices for refining and applying the output to your CRO strategy.
What the Conversion Rate Optimization Prompt Does
The CRO Prompt is designed to analyze your marketing and sales funnel performance using your connected data in Polar. It looks at key conversion metrics and surfaces both high-performing and underperforming areas in your customer journey.
When used in an MCP-integrated AI assistant (like ChatGPT or Claude), it automatically generates a performance review, highlights problem areas, and provides recommendations to boost conversions.
Metrics commonly analyzed include:
Session-to-purchase conversion rate (overall and by channel)
Add-to-cart and checkout completion rates
Campaign and ad-level conversion rates
Landing page performance and bounce rate trends
Device-level or geographic conversion differences
Example Output:
“Your overall conversion rate dropped from 2.8% to 2.3% this month, mainly due to lower mobile conversion. Meta Ads continue to drive high traffic but at a reduced checkout rate (-18%). Meanwhile, email campaigns saw a 10% improvement in conversion, suggesting loyal customers remain more responsive. Consider optimizing mobile checkout flow and revisiting Meta ad targeting.”
This type of insight gives you immediate clarity on where and why conversion performance is changing — so you can act fast.
How to Use the Conversion Rate Optimization Prompt
You can use this prompt through any tool connected to your Polar MCP integration (ChatGPT, Claude, or Make).
Step 1. Confirm Polar MCP Setup
Ensure your MCP connection is active and authenticated.
MCP Endpoint:
https://api.polaranalytics.com/mcp
If you haven’t installed MCP yet, follow this guide:
Installing the Polar MCP.
Step 2. Use the Prompt
Copy and paste the following base prompt into your MCP-connected tool:
Act as a conversion optimization analyst. Using my Polar Analytics data, analyze my conversion performance for the last 30 days. Identify key trends, channels, or campaigns impacting conversion rate. Highlight underperforming pages, ads, or devices, and provide recommendations to improve the overall conversion rate.
Step 3. Customize the Prompt
You can tailor the request to focus on specific timeframes, audiences, or campaign types.
Example customizations:
By channel: “Focus on conversion trends across paid social and organic search.”
By device: “Compare mobile vs. desktop conversion rates.”
By campaign: “Evaluate Meta and Google Ads campaigns by ROAS and conversion efficiency.”
By landing page: “Identify which landing pages have the lowest checkout completion rate.”
The more specific your request, the more precise and actionable your MCP summary will be.
Best Practices for CRO Analysis
To ensure you get accurate, insightful, and actionable results, keep these best practices in mind:
1. Ensure Data Completeness
For accurate analysis, your Polar workspace should have all key data sources connected:
Shopify or ecommerce platform (for sales and checkout data)
Ad platforms (Meta Ads, Google Ads, TikTok, etc.)
Analytics tools (like GA4, Klaviyo, or your tracking pixel)
Incomplete or delayed data connections can lead to inaccurate conclusions.
2. Use Time Comparisons
Ask MCP to compare conversion trends over time — for example, week-over-week or month-over-month — to spot emerging issues or seasonal dips.
Example:
“Compare my conversion rates this month vs. last month and identify which channels or pages changed the most.”
3. Request Actionable Recommendations
Include instructions for the AI to provide recommendations, not just data.
Example:
“Suggest 3 actionable ways to improve mobile conversions based on my Polar data.”
4. Segment by Funnel Stage
Conversion optimization is most effective when viewed across the funnel. Try prompts like:
“Analyze my add-to-cart vs. checkout completion rates.”
“Identify which step in the checkout process has the highest drop-off rate.”
5. Review in Context
CRO results should always be interpreted alongside traffic quality and ad spend. A lower conversion rate may not always indicate poor performance if traffic volume or testing strategies changed.
The Conversion Rate Optimization Prompt helps you pinpoint exactly where you’re losing potential revenue — and what to do about it.
By combining Polar’s unified marketing and ecommerce data with AI-driven insights, you can quickly identify conversion bottlenecks, test smarter, and improve your return on ad spend.
Key takeaways:
Use the prompt to generate a clear summary of your funnel’s strengths and weaknesses.
Customize it by channel, device, or funnel stage for deeper insights.
Always connect complete, up-to-date data sources for accurate analysis.
For related MCP guides and prompts, see: