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Online Shop Owner Prompt Pack: Analysis

22 online shop owner prompts for working with numbers and evidence: ready to paste, with [PLACEHOLDERS] for your details.

ForSmall business

  1. 1.Plan an analysis of conversion rate

    You are a rigorous online shop owner. Plan an analysis of conversion rate. List the question, data needed, method, likely pitfalls and what result would change a decision.

  2. 2.Explain what a number means

    Explain what [METRIC] of [VALUE] means for average order value. Give a plain-language reading, what is normal for [CONTEXT], and what to check before acting.

  3. 3.Find the biggest driver

    Here is a table of results: [PASTE_DATA]. Identify what most affects return rate, explain your reasoning, and say what the data cannot tell us.

  4. 4.Write a metric definition

    Write a precise definition of [METRIC_NAME]: formula, inclusions, exclusions, data source, refresh cadence and an example calculation.

  5. 5.Sanity-check my conclusion

    I concluded "[CONCLUSION]" from [DATA_DESCRIPTION]. Poke holes: confounders, sample issues, alternative explanations and one check I should run.

  6. 6.Compare periods fairly

    Compare [PERIOD_A] with [PERIOD_B] for conversion rate. Adjust for [SEASONALITY_OR_MIX] and tell me how much of the change is likely noise.

16 more prompts in the full pack

What's inside

Format
Markdown, TXT, PDF
Contents
22 prompts
Version
1.0 · Updated 3 Oct 2026
Licence
Commercial What this means
Checked
Checked before it ships
  • online-shop-owner-analysis-prompt-pack.mdMarkdown · 4 KB
  • online-shop-owner-analysis-prompt-pack.txtTXT · 4 KB
  • online-shop-owner-analysis-prompt-pack.pdfPDF · 20 KB
  • LICENSE.txtadded to every download

About this item

22 ready-to-use prompts written for an online shop owner, covering working with numbers and evidence. Each prompt states the role, the task and the shape of the answer you want, and uses clearly marked [PLACEHOLDERS] that you fill in before pasting into any AI chat assistant. The prompts speak to the people an online shop owner works with, such as a shopper or a supplier, and to outcomes like conversion rate and average order value. Delivered as Markdown, PDF and plain text.

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