Decision Matrix Builder (Google Ads)
The Decision Matrix Builder (Google Ads) prompt creates a structured framework for Google Ads strategists to evaluate campaign performance, categorize ad groups, and make clear, actionable investment decisions based on predefined KPIs.
What is the Decision Matrix Builder (Google Ads) prompt?
Copy the prompt below into ChatGPT, Gemini, Claude or any capable LLM, replace the bracketed variables with your own values, and run it.
ROLE: You are an expert Performance Marketing Specialist and Google Ads Strategist with a focus on data-driven decision-making and budget optimization. Your expertise lies in analyzing complex campaign data to determine which strategies deserve more investment and which should be cut or overhauled. GOAL: Your objective is to build a comprehensive Decision Matrix for [CAMPAIGN TYPE] within Google Ads. This matrix must evaluate specific [KEY PERFORMANCE INDICATORS] to provide a clear, actionable directive for every ad group or campaign segment analyzed. You will categorize performance into four quadrants: Scalable Winners, Potential Growth, Underperformers, and Waste. CONTEXT: I am currently managing Google Ads accounts where the primary [BUSINESS GOAL] is the North Star metric. To make objective decisions, I need a logic-based framework that moves beyond surface-level metrics like CTR and focuses on bottom-line impact. VARIABLES: - CAMPAIGN TYPE: [CAMPAIGN TYPE] - KEY PERFORMANCE INDICATORS: [KEY PERFORMANCE INDICATORS] - BUSINESS GOAL: [BUSINESS GOAL] - DATA PERIOD: [DATA PERIOD] INSTRUCTIONS: 1. Analyze the relationship between the [KEY PERFORMANCE INDICATORS] provided and the overall [BUSINESS GOAL]. 2. Construct a 2x2 Decision Matrix. The X-axis should represent volume/reach and the Y-axis should represent efficiency/profitability based on the [DATA PERIOD]. 3. For the 'Scalable Winners' quadrant, define the specific threshold of [KEY PERFORMANCE INDICATORS] required to trigger an aggressive budget increase. 4. For the 'Potential Growth' quadrant, identify which secondary metrics indicate a segment is worth optimizing rather than pausing. 5. For the 'Underperformers' and 'Waste' quadrants, provide a "kill switch" checklist based on spend-to-conversion ratios. 6. Write a step-by-step optimization workflow for a junior media buyer to follow once the matrix is populated with live data. OUTPUT FORMAT: Provide the response in a structured text layout with the following sections: - MATRIX DEFINITION: A summary of the logic used for the X and Y axes. - THE FOUR QUADRANTS: A detailed breakdown of the characteristics, thresholds, and specific actions (Scale, Pivot, Test, Kill) for each. - OPTIMIZATION LOGIC: A series of "If/Then" statements derived from the [KEY PERFORMANCE INDICATORS]. - EXECUTION CHECKLIST: A 5-point list of immediate actions to take inside the Google Ads UI to implement these decisions. QUALITY BAR: The matrix must be mathematically sound and specific to [CAMPAIGN TYPE]. Avoid generic advice; ensure that the thresholds mentioned are actionable and prioritize the [BUSINESS GOAL] above all else. Use professional marketing terminology and maintain a high standard of data integrity.
What variables does the Decision Matrix Builder (Google Ads) prompt use?
| Variable | What to put | Example |
|---|---|---|
| [CAMPAIGN TYPE] | The specific type of Google Ads campaign being analyzed, e.g., Search, PMax, Display, Shopping. | Search Campaigns |
| [KEY PERFORMANCE INDICATORS] | A comma-separated list of metrics used to evaluate campaign performance, e.g., ROAS, CPA, Conversion Rate, Profit per Conversion. | ROAS, Cost Per Conversion, Conversion Value |
| [BUSINESS GOAL] | The overarching objective for the Google Ads efforts, e.g., Maximize Profit, Generate Qualified Leads, Drive Online Sales. | Maximize eCommerce Profitability |
| [DATA PERIOD] | The timeframe of the data to be analyzed, e.g., last 30 days, Q3 2023, last 90 days. | last 90 days |
How do I use the Decision Matrix Builder (Google Ads) prompt?
- 1Step 1: Identify your [CAMPAIGN TYPE], main [BUSINESS GOAL], and crucial [KEY PERFORMANCE INDICATORS] for evaluation.
- 2Step 2: Define your desired [DATA PERIOD] for analysis to ensure the matrix is based on relevant performance data.
- 3Step 3: Copy the entire prompt into your chosen AI model and replace all bracketed variables with your specific information.
- 4Step 4: Execute the prompt and receive a comprehensive Decision Matrix, optimization logic, and execution checklist.
- 5Step 5: Apply the generated framework to your live Google Ads data to categorize ad groups/campaigns and implement the recommended actions.
When should you use the Decision Matrix Builder (Google Ads) prompt?
Optimizing large Google Ads accounts
When managing multiple campaigns and ad groups, this matrix provides a systematic way to identify top performers and underachievers quickly.
Performing quarterly budget reviews
Ideal for end-of-quarter assessments to justify budget reallocations and strategic shifts for the upcoming period.
Training junior media buyers
The standardized workflow and clear definitions demystify decision-making, providing a solid foundation for new team members.
Presenting performance insights to clients
The structured matrix offers a transparent and data-backed explanation for strategic decisions, boosting client confidence.
Improving overall campaign ROI
By systematically cutting waste and scaling success, the prompt helps elevate the profitability of the entire Google Ads portfolio.
What does the Decision Matrix Builder (Google Ads) prompt output look like?
MATRIX DEFINITION: The X-axis (Volume/Reach) measures total conversion value, while the Y-axis (Efficiency/Profitability) gauges Return on Ad Spend (ROAS). This creates a balanced view of both impact and efficiency. THE FOUR QUADRANTS: - Scalable Winners: ROAS > 400%, Conversion Value > $10,000. Action: Aggressively increase budget by 20-30%, explore bid strategy adjustments for higher conversions. - Potential Growth: ROAS 250-400%, Conversion Value $2,000-$10,000. Action: Test new ad copy, optimize landing pages for better CR, monitor for ROAS improvement. - Underperformers: ROAS 100-250%, Conversion Value $500-$2,000. Action: Review audience targeting and keywords, pause low-performing ads, consider A/B testing a different offer. - Waste: ROAS < 100%, Conversion Value < $500, or negative profit. Action: Pause immediately. Kill switch: If spend-to-conversion ratio exceeds target by 2x or more for 30 days, pause ad group. OPTIMIZATION LOGIC: - IF ROAS > 400% AND Conversion Value > $10,000 THEN Increase Budget. - IF ROAS BETWEEN 250-400% and Conversion Value > $2,000 THEN Optimize and Test. - IF Cost Per Conversion > 1.5x Target AND ROAS < 100% THEN Pause or Cut. EXECUTION CHECKLIST: 1. Filter Google Ads data by Ad Group for the last 90 days. 2. Calculate ROAS and Total Conversion Value for each Ad Group. 3. Plot each Ad Group onto the quadrant matrix. 4. Apply quadrant-specific actions (Scale, Pivot, Test, Kill). 5. Document all changes and monitor performance for the next 7-14 days.
Which AI model works best with the Decision Matrix Builder (Google Ads) prompt?
Excellent for understanding nuanced relationships between KPIs and generating detailed, actionable advice across diverse scenarios.
Strong in structured output generation and complex analysis, making it well-suited for building systematic frameworks like decision matrices.
Good balance of analytical depth and coherent long-form output, ideal for producing both the matrix logic and the optimization workflow.
What are the pros and cons of the Decision Matrix Builder (Google Ads) prompt?
Pros
- Provides a highly structured, data-driven framework for Google Ads optimization.
- Moves beyond surface-level metrics to focus on bottom-line business goals.
- Generates clear, actionable directives for different performance levels.
- Includes a workflow for junior media buyers, promoting consistency.
- Helps identify both areas for aggressive investment and areas for immediate cuts.
- Enhances objective decision-making and budget allocation.
Cons
- Requires precise input for KPIs and business goals to be effective.
- The output needs manual data input into the generated matrix structure.
- Results are only as good as the input data's accuracy and relevance.
- Might necessitate further refinement for highly unique or niche campaign types.
How can you get better results from the Decision Matrix Builder (Google Ads) prompt?
- Be specific with your [KEY PERFORMANCE INDICATORS] (e.g., 'Target CPA $50', 'Min ROAS 300%') to get precise thresholds.
- Provide context on your industry or unique business challenges to refine the output's relevance.
- Experiment with different [DATA PERIODS] to see how stable your performance segments are.
- Consider adding a 'Competitive Landscape' variable if market saturation is a factor.
- Ask the LLM to provide example ad groups or segments for each quadrant based on hypothetical data.
- Request specific conditional formatting suggestions if you plan to visualize this in a spreadsheet.
Frequently asked questions about the Decision Matrix Builder (Google Ads) prompt
What is the Decision Matrix Builder (Google Ads) prompt?
It's a prompt designed for Google Ads strategists to create a customized, data-driven framework that categorizes ad performance into 'Scalable Winners,' 'Potential Growth,' 'Underperformers,' and 'Waste' based on user-defined KPIs and business goals.
Who should use this prompt?
Performance Marketing Specialists, Google Ads Strategists, Media Buyers, and anyone managing Google Ads budgets who needs a systematic, objective method to optimize campaign spend and measure ROI effectively.
What kind of decisions does this matrix help make?
It helps decide where to aggressively increase budget, where to optimize and test, and where to pause or completely cut ad spend to maximize overall profitability and achieve business goals.
Can this prompt be used for other ad platforms?
While specifically tailored for Google Ads in its current form, the underlying logic of a performance decision matrix can be adapted for other ad platforms by modifying the 'CAMPAIGN TYPE' and 'KEY PERFORMANCE INDICATORS' variables.
How precise do my KPIs need to be?
The more precise and quantifiable your KPIs (e.g., 'Target CPA of $25', 'minimum ROAS of 300%'), the more specific and actionable the matrix thresholds and recommendations will be.
Does this prompt automate the optimization process?
No, it provides the strategic framework and workflow for decision-making. You will still need to manually input your live data into the defined matrix structure and implement the recommended actions within Google Ads.
What output format does it provide?
It provides a structured text output including a Matrix Definition, details on The Four Quadrants with actions, Optimization Logic using 'If/Then' statements, and an Execution Checklist for media buyers.