The Creative Performance Coach Prompt helps you uncover which ad creatives, formats, and messages drive the strongest performance across your marketing channels — all powered by your live Polar Analytics data through the Model Connection Protocol (MCP).
Creative decisions are often made based on intuition, but data tells the real story. This prompt enables teams to identify top-performing creatives, spot patterns behind successful campaigns, and receive AI-powered recommendations for improving ad performance and ROI.
With this prompt, you can:
Pinpoint which ad creatives, visuals, or copy perform best by channel and audience.
Understand how creative performance correlates with metrics like ROAS, CTR, or conversion rate.
Get tailored, data-driven guidance on where to optimize or scale your creative strategy.
In this guide, you’ll learn:
How to use the Creative Performance Coach Prompt with Polar MCP.
What types of insights you can expect.
Best practices for creative analysis and experimentation.
What the Creative Performance Coach Prompt Does
The Creative Performance Coach Prompt analyzes the creative-level data from your advertising platforms connected in Polar — such as Meta Ads, Google Ads, or TikTok Ads — and generates actionable insights about what’s working and what’s not.
It’s designed to act as your AI-powered creative strategist, translating complex performance metrics into clear storytelling that marketers and designers can act on.
Example Output
“In the past 30 days, video creatives featuring UGC content achieved a 4.2x ROAS, outperforming static images by 37%. Creatives emphasizing product benefits (vs. lifestyle imagery) drove higher CTR on Meta. Meanwhile, TikTok campaigns using short-form video under 15 seconds generated the lowest CPC. Consider prioritizing product-focused UGC videos for upcoming campaigns.”
This type of output not only summarizes what’s happening but also explains why certain creative formats perform better — giving you the strategic insight to allocate your creative budget effectively.
Key Metrics Analyzed
ROAS (Return on Ad Spend) by creative
CTR (Click-Through Rate) by format and copy variation
Conversion rate and cost per purchase by ad type
Spend efficiency (profitability per creative)
Engagement trends (views, likes, or interaction rate on video creatives)
The result: a comprehensive creative performance report that merges data and storytelling to guide your marketing decisions.
How to Use the Creative Performance Coach Prompt
You can use this prompt in any MCP-integrated tool (such as ChatGPT, Claude, or Make).
Step 1. Ensure MCP is Connected
Make sure your Polar MCP is set up and authenticated.
MCP Endpoint:
https://api.polaranalytics.com/mcp
If you haven’t installed MCP yet, follow the MCP Installation Guide.
Step 2. Use the Prompt
Copy and paste this base prompt into your MCP-connected AI tool:
Act as a creative strategist for a DTC ecommerce brand. Using my Polar Analytics data, analyze my ad creative performance over the past 30 days. Identify top-performing creatives, copy styles, and formats by channel (Meta, TikTok, Google Ads). Highlight key creative themes that drive ROAS and engagement, and provide 3 actionable recommendations to optimize future creatives.
Step 3. Customize for Specific Campaigns or Channels
You can adjust the prompt based on your goals:
By Platform:
“Focus only on Meta Ads and TikTok campaigns.”By Creative Type:
“Compare performance between static images, carousels, and UGC videos.”By Audience Segment:
“Analyze which creative themes perform best for new vs. returning customers.”By Time Period:
“Compare creative performance for Q2 vs. Q3.”
Each variation will produce a more focused summary, making it easier to test and refine your creative strategy over time.
Best Practices for Creative Optimization
To make the most of the Creative Performance Coach Prompt, consider these best practices for analyzing and improving your ad creatives:
1. Look Beyond ROAS
While ROAS is a valuable metric, creative decisions should also factor in CTR, cost per add-to-cart, and conversion rate. These metrics reveal where a creative performs best within the funnel — from engagement to purchase.
2. Identify Repeatable Patterns
Ask the prompt to highlight recurring creative traits across top-performing ads.
Example prompt addition:
“Identify creative patterns shared among my top 5 highest-performing ads (e.g., colors, tone, format, or length).”
These recurring signals help your creative team develop new iterations that align with proven winning formats.
3. Use A/B Testing as a Follow-Up
Turn insights from the MCP analysis into hypothesis-driven tests.
For example, if the prompt reveals that short UGC videos outperform long-form brand ads, schedule an A/B test to validate that hypothesis across a larger audience.
4. Combine Insights Across Platforms
Performance trends often vary between channels. A creative that excels on TikTok might underperform on Meta. Ask the MCP to summarize cross-platform insights:
“Compare how similar creative formats perform across Meta and TikTok.”
This helps ensure your strategy is optimized per platform, not generalized across all.
5. Share Summaries with Stakeholders
Use the generated insights as part of weekly or monthly marketing reviews. The AI’s natural-language summaries are easy for creative, marketing, and executive teams to understand — enabling better alignment across departments.
The Creative Performance Coach Prompt turns your Polar data into an always-on creative strategist — delivering actionable insights that help you refine ad content, allocate budgets, and improve ROI.
Key takeaways:
It analyzes creative performance data from your ad platforms via Polar MCP.
You can customize the prompt to focus on channels, timeframes, or creative types.
Regular use helps identify performance patterns and test data-backed creative hypotheses.
By integrating this workflow into your creative review process, you can combine intuition with data — producing ads that both resonate and convert.
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