Expected output
The deliverable should include Category scoring matrix, Entry barriers, Underserved price bands, and Recommended entry strategy.
IntermediateMarket Research & Product Selection AI
Category Opportunity Analysis | Comparative Decision Prompt
Category Opportunity Analysis | Comparative Decision Prompt is a copyable AI prompt for ecommerce sellers. Use it to compare candidate options against one consistent decision framework. Copy the full instruction, add your inputs and check the result before use.
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How the Category Opportunity Analysis | Comparative Decision Prompt works
Compare candidate options against one consistent decision framework. The output records evidence, weights, risks, and sensitivity checks so a human can review the recommendation.
Key instructions and output
The points below describe the task and expected output in this prompt.
Parameter guide
Prepare the task information listed below and replace placeholders with verified details from the actual case.
[Option A]
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[Option B]
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[Option C]
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[Candidate categories]
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[Market size and growth]
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[Number of competing brands and SKUs]
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[Price bands]
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[Gross margin and fulfillment cost]
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Copy the complete prompt
The complete source is shown below. Copy it from the top right to use it.
You are an ecommerce category strategy lead. Compare [Option A], [Option B], and [Option C] for the objective: assess category size, growth, competitive intensity, profit potential, and entry difficulty. Inputs: [Candidate categories], [Market size and growth], [Number of competing brands and SKUs], [Price bands], [Gross margin and fulfillment cost]. First define five to eight non-overlapping evaluation dimensions and weights, and explain the rationale for the weights. Then build a scoring matrix in which every score is tied to a fact, data point, or explicit assumption. Provide the best choice, conditions under which it is best, irreversible risks, the lowest-cost validation method, and Category scoring matrix, Entry barriers, Underserved price bands, Recommended entry strategy. Do not invent missing information to force a conclusion. Special requirement: Do not judge an opportunity on sales alone. Evaluate margin, returns, compliance, supply stability, and differentiation.Test this prompt on a real task
Copy a starter instruction, add the required inputs, then run one example and review the output.
01Category Opportunity Analysis | Comparative Decision Prompt
The deliverable should include Category scoring matrix, Entry barriers, Underserved price bands, and Recommended entry strategy. Compare options and make a reviewable category opportunity analysis decision
Show prompt and variablesHide prompt and variables
Category Opportunity Analysis | Comparative Decision Prompt
The deliverable should include Category scoring matrix, Entry barriers, Underserved price bands, and Recommended entry strategy. Compare options and make a reviewable category opportunity analysis decision
You are an ecommerce category strategy lead. Compare [Option A], [Option B], and [Option C] for the objective: assess category size, growth, competitive intensity, profit potential, and entry difficulty. Inputs: [Candidate categories], [Market size and growth], [Number of competing brands and SKUs], [Price bands], [Gross margin and fulfillment cost]. First define five to eight non-overlapping evaluation dimensions and weights, and explain the rationale for the weights. Then build a scoring matrix in which every score is tied to a fact, data point, or explicit assumption. Provide the best choice, conditions under which it is best, irreversible risks, the lowest-cost validation method, and Category scoring matrix, Entry barriers, Underserved price bands, Recommended entry strategy. Do not invent missing information to force a conclusion. Special requirement: Do not judge an opportunity on sales alone. Evaluate margin, returns, compliance, supply stability, and differentiation.Inputs to replace in this prompt
[Option A]- Replace this placeholder with verified, task-specific information before running the prompt.
[Option B]- Replace this placeholder with verified, task-specific information before running the prompt.
[Option C]- Replace this placeholder with verified, task-specific information before running the prompt.
[Candidate categories]- Replace this placeholder with verified, task-specific information before running the prompt.
[Market size and growth]- Replace this placeholder with verified, task-specific information before running the prompt.
[Number of competing brands and SKUs]- Replace this placeholder with verified, task-specific information before running the prompt.
[Price bands]- Replace this placeholder with verified, task-specific information before running the prompt.
[Gross margin and fulfillment cost]- Replace this placeholder with verified, task-specific information before running the prompt.
What to check before using the output
The generated result is a draft; check claims, numbers and operating conditions against source data before publishing, importing or acting on it.
Operating note 1
Replace every placeholder before running the prompt, and label key figures with their source, date range, and definition.
Operating note 2
Do not judge an opportunity on sales alone. Evaluate margin, returns, compliance, supply stability, and differentiation.
Operating note 3
Before uploading order, customer, contract, or supplier data, redact sensitive information and comply with platform terms, privacy policies, NDAs, and company data-governance requirements. Have the responsible operator review the result before it is published, sent, or executed.
Source & attribution
Compilation note and reference material
This section identifies the prompt’s creator and source, and marks details that could not be verified.
Vendolune
This Prompt was compiled by Vendolune from the scenario requirements and public reference material. The reference-page author is not credited as this Prompt's author.
Reference materialKlaviyo
This link is reference material and does not establish its page author as the author of this Prompt. The author shares frameworks his team uses to analyze reviews at scale, build customer profiles, generate ideas from source material, audit email programs, and examine retention from an executive perspective.
The original page does not publish a rating, review, Product Hunt upvote, star, fork, install, or download count.
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