Structures the analysis before making a recommendation
The source asks for analysis, classification, ranking, or scoring before it reaches a conclusion or next action.
IntermediateData, Profit & Decision AI
Amazon PPC Search Term Analysis Prompt
Amazon PPC Search Term Analysis Prompt is a copyable AI prompt for Amazon sellers. Use it to sort search-term report rows into waste, promising terms and campaign checks. Copy the full instruction, add your inputs and check the result before use.
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How the Amazon PPC Search Term Analysis Prompt works
Use Amazon PPC Search Term Analyzer to turn verified inputs into a first-pass decision-ready analysis for human review. Amazon PPC Search Term Analyzer fits Level 3: The mechanics are simple; good results depend on giving the model clean inputs and a clear review rule. The operator also needs enough store experience to judge the decision-ready analysis against data completeness, calculation accuracy, contribution margin, and decision follow-through.
Key instructions and output
This prompt asks the model to sort search-term report rows into waste, promising terms and campaign checks; the points below reflect instructions present in the source text.
Inputs to prepare for this prompt
Prepare the task information listed below and replace placeholders with verified details from the actual case.
Source file or structured data
This instruction refers to file or tabular input. Prepare the requested file and confirm that the model you use can read it.
Copy the complete prompt
The complete source is shown below. Copy it from the top right to use it.
You are an Amazon PPC analyst. Analyze the provided Search Term Report data:
1. WASTED SPEND — Terms with 15+ clicks and ZERO sales. Negative them.
2. HIGH PERFORMERS — Terms with 3+ sales and ACoS under 25%. Promote to exact match.
3. NEW TARGETS — Customer search terms not in any campaign. Add with suggested bids.
4. CAMPAIGN HEALTH — Campaigns overspending relative to sales.
Output in table format with exact dollar impact per recommendation.Test this prompt on a real task
Copy a starter instruction, add the required inputs, then run one example and review the output.
01Start with one real task
Do not begin with a store-wide rollout. Pick one reversible task where Amazon PPC Search Term Analyzer can help you turn store, pricing, and performance data into operating decisions. Use this when the input boundary, owner, and one primary measure from data completeness, calculation accuracy, contribution margin, and decision follow-through are written down.
Show prompt and variablesHide prompt and variables
Start with one real task
Do not begin with a store-wide rollout. Pick one reversible task where Amazon PPC Search Term Analyzer can help you turn store, pricing, and performance data into operating decisions. Use this when the input boundary, owner, and one primary measure from data completeness, calculation accuracy, contribution margin, and decision follow-through are written down.
Use the Prompt above to help me with this task: Start with one real task.
Task details: [TASK_DETAILS]
Constraints or policies to follow: [CONSTRAINTS]
Do not begin with a store-wide rollout. Pick one reversible task where Amazon PPC Search Term Analyzer can help you turn store, pricing, and performance data into operating decisions.
Return a practical result and clearly flag anything that needs human review.Inputs to replace in this prompt
[TASK_DETAILS]- The facts, context, or source material for this task.
[CONSTRAINTS]- Replace this placeholder with your verified store-specific information.
02Prepare the input and guardrails
Collect only the consistent exports, metric definitions, cost data, date ranges, and known data gaps needed for this test. Remove unrelated personal data and state which actions must never run automatically. Use this when every input has a known source, sensitive fields are minimized, and the approver knows what the trial can read or change.
Show prompt and variablesHide prompt and variables
Prepare the input and guardrails
Collect only the consistent exports, metric definitions, cost data, date ranges, and known data gaps needed for this test. Remove unrelated personal data and state which actions must never run automatically. Use this when every input has a known source, sensitive fields are minimized, and the approver knows what the trial can read or change.
Use the Prompt above to help me with this task: Prepare the input and guardrails.
Task details: [TASK_DETAILS]
Constraints or policies to follow: [CONSTRAINTS]
Collect only the consistent exports, metric definitions, cost data, date ranges, and known data gaps needed for this test. Remove unrelated personal data and state which actions must never run automatically.
Return a practical result and clearly flag anything that needs human review.Inputs to replace in this prompt
[TASK_DETAILS]- The facts, context, or source material for this task.
[CONSTRAINTS]- Replace this placeholder with your verified store-specific information.
03Replace the placeholders and run the Prompt
Replace the placeholders in Amazon PPC Search Term Analyzer with verified business information. Run one normal example, then one example with a missing field or edge case. Use this when you have a decision-ready analysis that a responsible operator can inspect, and it stayed inside the approved boundary.
Show prompt and variablesHide prompt and variables
Replace the placeholders and run the Prompt
Replace the placeholders in Amazon PPC Search Term Analyzer with verified business information. Run one normal example, then one example with a missing field or edge case. Use this when you have a decision-ready analysis that a responsible operator can inspect, and it stayed inside the approved boundary.
Use the Prompt above to help me with this task: Replace the placeholders and run the Prompt.
Task details: [TASK_DETAILS]
Constraints or policies to follow: [CONSTRAINTS]
Replace the placeholders in Amazon PPC Search Term Analyzer with verified business information. Run one normal example, then one example with a missing field or edge case.
Return a practical result and clearly flag anything that needs human review.Inputs to replace in this prompt
[TASK_DETAILS]- The facts, context, or source material for this task.
[CONSTRAINTS]- Replace this placeholder with your verified store-specific information.
04Review it against a baseline
Do not judge the result by fluency. Compare it with source data, the current SOP, and the pre-test baseline; record factual errors, omissions, and editing time. Use this when data completeness, calculation accuracy, contribution margin, and decision follow-through has a pre-test baseline, and errors and exceptions are logged separately.
Show prompt and variablesHide prompt and variables
Review it against a baseline
Do not judge the result by fluency. Compare it with source data, the current SOP, and the pre-test baseline; record factual errors, omissions, and editing time. Use this when data completeness, calculation accuracy, contribution margin, and decision follow-through has a pre-test baseline, and errors and exceptions are logged separately.
Use the Prompt above to help me with this task: Review it against a baseline.
Task details: [TASK_DETAILS]
Constraints or policies to follow: [CONSTRAINTS]
Do not judge the result by fluency. Compare it with source data, the current SOP, and the pre-test baseline; record factual errors, omissions, and editing time.
Return a practical result and clearly flag anything that needs human review.Inputs to replace in this prompt
[TASK_DETAILS]- The facts, context, or source material for this task.
[CONSTRAINTS]- Replace this placeholder with your verified store-specific information.
Source & attribution
Creator and source information
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