The Media Buying Health Check Prompt gives you an instant diagnostic view of your paid media performance across platforms like Meta Ads, Google Ads, and TikTok Ads — directly from your Polar Analytics data using the Model Connection Protocol (MCP).

This prompt helps media buyers and growth marketers quickly identify what’s working, what’s underperforming, and where to focus budget for the best returns. It transforms your cross-channel ad data into clear, actionable insights that can guide weekly optimizations and strategy reviews.

In this guide, you’ll learn:

How to use the Media Buying Health Check Prompt with Polar MCP.
The types of insights and recommendations it generates.
Best practices for analyzing and improving your media buying efficiency.

What the Media Buying Health Check Does

The Media Buying Health Check Prompt acts like your digital performance strategist — analyzing your active ad channels and surfacing key trends in spend, efficiency, and profitability.

It leverages your Polar data (from connected ad platforms and revenue sources) to generate a plain-language report summarizing your media buying performance.

Example Output:

“In the last 30 days, Meta Ads generated $45,200 in revenue at a 3.4x ROAS, representing a 12% improvement month-over-month. However, Google Ads spend increased by 18% with no gain in conversions, driving CAC up by 9%. TikTok Ads remain the most efficient acquisition channel, contributing 25% of total new customers. Consider reallocating 10–15% of Google spend toward Meta retargeting campaigns.”

This output provides immediate visibility into your:

Ad spend allocation across channels
Return on Ad Spend (ROAS) and Customer Acquisition Cost (CAC)
Revenue contribution by channel
Efficiency trends (e.g., spend vs. performance over time)
Recommendations for optimizing spend

Why It Matters

For teams managing multiple channels, it’s easy to miss when a campaign starts burning spend or a channel’s efficiency shifts.
The Media Buying Health Check makes it effortless to stay on top of trends, identify inefficiencies, and make confident, data-backed adjustments.

How to Use the Media Buying Health Check Prompt

You can use this prompt through any AI assistant connected to Polar MCP, such as ChatGPT, Claude, or Make.

Step 1. Confirm MCP Connection

Before using the prompt, ensure your Polar MCP is installed and authenticated.

MCP Endpoint:
```
https://api.polaranalytics.com/mcp
```
Reference: Installing the Polar MCP

Make sure your Polar workspace includes connected ad platforms (Meta, Google Ads, TikTok, etc.) for accurate cross-channel analysis.

Step 2. Use the Prompt

Copy and paste the following prompt into your AI tool:

Act as a senior media buyer and performance analyst.   Using my Polar Analytics data, run a Media Buying Health Check for the last 30 days.   Provide a summary of ad performance by channel, including spend, revenue, ROAS, and CAC.   Highlight which channels or campaigns are most efficient, which are underperforming, and provide actionable recommendations to improve media buying efficiency.

Step 3. Customize the Prompt

You can adapt the prompt for deeper or more specific insights, such as:

By Time Period: “Compare performance this month vs. last month.”
By Channel: “Focus only on Meta and TikTok Ads performance.”
By Objective: “Highlight campaigns driving new customer acquisition.”
By Efficiency: “Rank channels by ROAS, then by CAC.”

Example variation:

“Compare paid media performance in Q3 vs. Q2. Identify trends in CAC and highlight where scaling budget produced diminishing returns.”

Step 4. Review the Output

The AI will generate a structured health report summarizing each channel’s performance and provide optimization suggestions like:

Reallocating spend to high-performing campaigns.
Pausing underperforming ad sets.
Adjusting budgets based on channel efficiency.

Best Practices for Ongoing Media Health Checks

To get the most out of your MCP-powered media buying analysis, follow these best practices:

1. Run the Health Check Weekly

Media performance can shift quickly due to algorithm changes, seasonality, or competition. Running this check weekly helps you catch inefficiencies early and stay agile.

2. Pair Spend Data with Profitability

ROAS doesn’t tell the whole story — make sure to ask for insights that include gross margin or net profit per channel for a more accurate view of financial performance.
Example addition to your prompt:

“Include profitability analysis after accounting for COGS and ad spend.”

3. Segment by Audience or Funnel Stage

Different campaigns serve different goals. You can refine your analysis to look specifically at prospecting, retargeting, or retention efforts.
Example:

“Analyze performance of retargeting campaigns vs. prospecting campaigns across Meta and Google.”

4. Benchmark Over Time

Ask MCP to compare current results to previous periods (week-over-week or month-over-month) to track improvement trends or identify declining efficiency.

5. Use It for Budget Planning

Use the MCP output to guide budget allocation for the coming week or month. The Health Check highlights where your spend drives the highest return — and where reallocation may be needed.

The Media Buying Health Check Prompt turns your Polar Analytics data into a real-time optimization engine — giving you the clarity and confidence to make smarter, faster media decisions.

Key Takeaways: