100 Best Claude Performance Review Prompts for Etsy Sellers

Direct Answer

The best Claude prompts for performance review for Etsy sellers are designed to analyze sales trends, listings health, customer feedback, and operational efficiency. They guide actionable improvements, benchmark performance, and suggest data-driven goals. Use them to create structured reviews that inform strategy and growth.

Introduction

This page provides a practical prompt library focused on performance reviews for Etsy sellers. Each prompt is crafted to be copyable and directly actionable, helping you evaluate and improve a shop’s health.

Designed for Etsy shop owners, managers, and consultants, the prompts cover analytics, listing quality, customer experience, operations, and growth strategies to drive better results.

How to Use These Claude Prompts

• Replace placeholders with your shop data and context to tailor the prompts.
• Add constraints such as date ranges, currency, and specific KPI targets to focus analysis.
• Request outputs in clear formats like bullet lists, tables, or checklists to aid execution.
• Ask for stepwise recommendations and assign owners to each action item.
• Verify outputs by cross-checking with your own CRM, analytics, and order data.

100 Best Claude Performance Review Prompts for Etsy Sellers

1. Sales trend analysis: Act as an analytics consultant. You are reviewing an Etsy shop's last four quarters. Analyze gross and net sales, unit velocity, seasonality, and the impact of promotions. Provide a summary of trends, key drivers, and a prioritized action plan with measurable targets for the next quarter. Output as a structured bullet list with metrics and owners.
2. Top listing health check: You are a product performance reviewer. Examine the shop's top 20 listings by revenue. Assess titles, photos, pricing, variants, SEO, and conversion rate. Identify gaps, propose improvements, and generate a prioritized enhancement roadmap with expected lift percentages and a timeline.
3. Customer feedback synthesis: As a customer experience analyst, compile the last 200 reviews across platforms. Categorize by sentiment, product quality, shipping, packaging, and communication. Distill recurring themes, quantify their impact on NPS, and craft a remediation plan with responsible owners.
4. Return and refund workflow: Act as operations auditor. Review return and refund rates, reasons, processing times, and policy clarity. Propose process optimizations, automation opportunities, and a revised policy outline that reduces friction while protecting margins.
5. Pricing competitiveness check: Take on a pricing strategist role. Compare shop pricing against top five rivals in the niche. Analyze price positioning, discount cadence, and perceived value. Recommend a pricing strategy with tiered offers and a plan to test price changes over eight weeks.
6. Inventory and stock health: Serve as inventory analyst. Review stock levels, turnover, lead times, and SKU rationalization. Highlight slow movers, excess stock risks, and recommended reorder thresholds. Create a replenishment plan with target days of supply.
7. Shipping and delivery review: Act as logistics reviewer. Assess shipping speeds, carrier choices, packaging, and fulfillment accuracy. Propose process improvements, cost-saving shipping methods, and a KPI set to improve on-time delivery.
8. SEO and listing visibility: Act as an SEO auditor for Etsy. Audit listing titles, tags, attributes, and descriptions for top-selling items. Propose optimization tweaks, keyword priorities, and a testing plan to raise impression share by a defined margin.
9. Customer support efficiency: Take the role of support analyst. Measure response times, resolution rates, and common issues raised. Recommend canned responses, escalation paths, and a ticket-triage workflow to improve customer satisfaction.
10. Brand consistency audit: Act as brand auditor. Compare shop visuals, tone, and packaging against a defined brand guideline. Flag inconsistencies and propose a brand refresh plan with a rollout schedule across listings and marketing materials.
11. Revenue forecasting model: As a finance analyst, create a rolling revenue forecast for the next six quarters using historical data, seasonality, and planned promotions. Show best-case, base-case, and worst-case scenarios with confidence intervals.
12. Promotions impact review: You are a promotions analyst. Evaluate the impact of past sales events on revenue, margin, and repeat purchases. Recommend which promotions to repeat, modify, or retire with rationale.
13. Customer lifetime value: Act as customer value strategist. Calculate customer lifetime value for the shop’s typical buyer, considering repeat purchase rate, average order value, and retention. Propose strategies to raise LTV through bundles and loyalty incentives.
14. Cohort performance analysis: As a data analyst, segment customers by cohort (acquisition month) and track revenue, repeat rate, and AOV over time. Provide insights on which cohorts outperform and why, plus improvement ideas.
15. Product mix optimization: Serve as product strategist. Assess the revenue contribution of each product line, identify cannibalization risks, and propose a rebalanced assortment with focus SKUs and elimination criteria.
16. Conversion funnel audit: Act as funnel analyst. Map the customer journey from listing view to checkout. Identify drop-off points, quantify losses, and propose experiments to improve conversion at each step.
17. Feedback loop design: Design a closed-loop feedback system. Capture customer insights, translate them to product/listing changes, and close the loop with customers to validate improvements.
18. Product photography critique: As a creative reviewer, evaluate product photos for lighting, consistency, and storytelling. Recommend a photo kit and a shoot plan to elevate image quality and conversion.
19. Product description clarity: Review listing descriptions for readability and clarity. Ensure benefits, materials, sizing, and care instructions are easy to understand. Propose edits for a 200-word max description with scannable formatting.
20. Shop health score: Compute a composite shop health score using metrics like listing completeness, response times, shipping reliability, and review sentiment. Provide the score, drivers, and a 90-day improvement plan.
21. Shipping cost optimization: Analyze shipping costs by region and product weight. Recommend packaging changes, carrier selection, and shipping method tweaks to reduce cost per order without harming delivery experience.
22. Data hygiene check: Audit data quality across the Etsy shop dashboard. Find missing fields, inconsistent categories, and duplicate listings. Propose a data-cleaning plan with a monthly cadence.
23. Product launch readiness: Act as product launch planner. Create a launch checklist for a new product, including pre-launch market tests, content assets, timing, pricing, and post-launch review metrics.
24. Listing template standardization: Design a standardized listing template. Include title structure, imagery guidelines, bullet benefits, and SEO-ready descriptions to ensure consistency across all listings.
25. Customer retention plan: Devise a retention strategy targeting repeat customers. Propose engagement tactics, exclusive offers, and a lifecycle calendar with milestones.
26. Quality control checklist: Create a vendor-facing quality control checklist for product batches. Include specs, tolerances, packaging, and defect reporting to protect margins.
27. Returns policy clarity: Evaluate the clarity and fairness of returns policy. Propose language changes and a return flow that reduces post-purchase anxiety while protecting margins.
28. Social proof optimization: Assess how reviews, photos, and user-generated content are used. Propose a plan to solicit and showcase social proof that boosts trust and conversions.
29. Email capture and nurture: Design an email collection and nurture sequence for visitors. Map touchpoints, value offers, and automated re-engagement tailored to Etsy shoppers.
30. Workflow automation map: Outline a practical automation map for order processing, customer messages, and inventory alerts. Include triggers, actions, and expected time savings.
31. Supplier relationship health: Review supplier performance, lead times, and reliability. Propose a scorecard, escalation paths, and a quarterly business review cadence.
32. Returns avoidance strategies: Identify root causes of returns and propose prevention strategies such as improved sizing guidance, clearer images, and better product descriptions.
33. Shipping speed benchmarking: Benchmark delivery speeds against top sellers in the niche. Suggest process changes or partnerships to reduce average shipping time by days.
34. Packaging optimization: Evaluate packaging for cost, protection, and unboxing experience. Propose eco-friendly options and a packaging standard for all orders.
35. Inventory aging report: Create an aging inventory report. Flag items over a threshold, propose discounts, bundles, or cessation to free up cash.
36. Content calendar alignment: Plan a content calendar aligning product launches, promotions, and seasonal events with marketing channels and Etsy events.
37. Ad spend efficiency: Assess Etsy ads efficiency by campaign, audience, and creative. Recommend budget reallocation and A/B test ideas to improve ROI.
38. Customer sentiment trends: Track sentiment trends over time from reviews and messages. Identify major sentiment shifts and propose preventive actions.
39. Order defect reduction: Identify common order defects (late shipping, wrong item). Propose root cause analysis and a corrective action plan with owners and deadlines.
40. Product variant optimization: Review variants for clarity and demand. Propose consolidation or expansion plans and pricing changes per variant.
41. Sustainability impact: Assess sustainability practices and communicate them in listings. Propose improvements that appeal to eco-conscious buyers while protecting margins.
42. Audit competitive benchmarks: Compare the shop to at least three niche competitors. Highlight gaps and opportunities with concrete improvement ideas.
43. Localization and markets: Evaluate localization for different markets (descriptions, keywords, shipping). Propose regional tweaks to capture new customers.
44. Product bundle strategy: Design bundle offers that increase average order value. Include pricing, visuals, and messaging to drive cross-sell.
45. Return-to-seller feedback: Create a process to solicit feedback from customers who initiate returns and use that data to improve products and service.
46. A/B testing plan: Develop a practical A/B testing plan for listings, images, and descriptions. Define hypotheses, sample sizes, and success metrics.
47. Team role clarity: Map current roles and responsibilities for shop management. Identify gaps and propose a hiring or training plan to boost performance.
48. Seasonal demand analysis: Analyze seasonal patterns for the shop’s product categories. Recommend timing tweaks for promotions and stock planning.
49. Listing quality score: Create a scoring rubric for listing quality with weights for photos, copy, pricing, and SEO. Use it to audit all listings quarterly.
50. Shipping insurance review: Evaluate shipping insurance options and risk exposure. Recommend coverage levels and claim processes that balance cost and protection.
51. Crisis readiness checklist: Draft a crisis plan for supply chain or policy changes. Include communication templates and recovery steps.
52. Customer feedback loop: Implement a monthly customer feedback meeting to discuss recurring themes and track progress on promised improvements.
53. Market demand signals: Identify external signals indicating rising demand in the niche. Propose how to adapt strategies to capture new buyers.
54. Loyalty program design: Design a simple loyalty program aligned with margins. Include tiers, rewards, and redemption mechanics.
55. Post-purchase experience: Map the post-purchase journey, including packaging, thank-you messages, and follow-ups for reviews.
56. Pricing psychology: Apply pricing psychology to product listings. Suggest anchor points, scarcity signals, and value framing strategies.
57. CPO and COGS review: Compute cost of goods sold and gross margin by product. Flag items with low margins and propose price or cost-saving actions.
58. Product naming consistency: Standardize product naming across listings. Create a naming convention that improves SEO and brand clarity.
59. Multichannel alignment: Coordinate Etsy performance with social media and email campaigns. Propose integrated messaging and cross-channel promotions.
60. Shipping carrier review: Assess carriers by reliability and cost. Recommend a preferred carrier mix and negotiation tactics.
61. Inventory forecasting: Build a simple forecast model using past sales and upcoming promotions. Provide a monthly forecast with confidence intervals.
62. Returns analytics: Analyze reason codes for returns. Propose product or listing changes to reduce future returns.
63. Customer support tone: Define an approved tone and response templates for common inquiries. Ensure consistency and brand voice.
64. Order fulfillment timing: Measure order-to-shipment time and identify bottlenecks. Propose workflow tweaks to shorten fulfillment times.
65. Listing localization tests: Plan tests for localized keywords and translations. Measure impact on visibility and regional sales.
66. Sourcing risk assessment: Evaluate supplier risk factors such as lead times and reliability. Create a risk mitigation plan with alternative suppliers.
67. Product quality sampling: Design a random sampling plan for quality checks. Document pass/fail criteria and corrective actions.
68. Campaigns coherence check: Review marketing campaigns for alignment with product goals. Propose adjustments to messaging and offers.
69. Return window optimization: Test different return windows and messaging to reduce anxiety while protecting margins.
70. Packaging unboxing impact: Analyze unboxing experience and share recommended changes to increase social proof and perceived value.
71. Audit listing accuracy: Check listings for accuracy of size, color, materials, and care. Correct inconsistencies that harm trust.
72. Vendor negotiation plan: Prepare a negotiation strategy with preferred terms, minimums, and sample agreements for suppliers.
73. Checkout flow improvements: Evaluate the Etsy checkout flow for friction points. Recommend small UI changes to improve completion rate.
74. Seasonal bundle ideas: Propose seasonal bundles that align with trends and events. Include pricing and marketing angles.
75. Eco-friendly practices: Propose eco-friendly packaging and production tips that resonate with buyers and reduce costs.
76. Analytics dashboard design: Suggest a compact dashboard with key Etsy KPIs. Include automated alerts for significant changes.
77. Productivity enhancement: Identify repetitive tasks and propose automation or outsourcing to reclaim time for growth.
78. Product rating impact: Analyze how average product ratings affect impressions and conversions. Propose actions to raise rating averages.
79. Content asset library: Build a reusable library of product photos, videos, and copy snippets for faster listing creation.
80. Market entry plan: Outline a plan for entering a new niche with Etsy, including product-market fit checks and launch milestones.
81. Shipping label optimization: Suggest label and packaging configurations to reduce mis-ships and returns while keeping costs predictable.
82. Localization QA: QA localized listings for accuracy and cultural relevance. Provide a checklist for regional teams.
83. Giftable packaging strategy: Create gift-ready packaging options and messaging to tap into gifting occasions and higher AOV.
84. Brand ambassador program: Draft a micro-influencer program that fits budget. Define outreach, compensation, and tracking.
85. Refund policy testing: Experiment with refund policy wording to reduce chargebacks and improve buyer trust.
86. Product video prompts: Outline prompts for creating product videos that showcase features, scale, and use-cases with a tight script.
87. Feedback responsiveness: Set targets for response times to feedback and reviews and plan to meet them consistently.
88. Quality audit cadence: Schedule quarterly quality audits for listings, photos, and descriptions with owners and deadlines.
89. Niche trend monitoring: Create a routine for monitoring trends in the niche and turning insights into listing updates.
90. Break-even analysis: Compute break-even point for new product lines and promotions. Include fixed and variable costs and required volume.
91. Customer segmentation: Segment customers by behavior and preferences. Propose targeted messaging and offers for each segment.
92. Returns experience survey: Design a short survey for customers who returned items. Use results to improve products and processes.
93. Product warranty plan: Draft a simple product warranty or guarantee that builds trust while protecting margins.
94. Supply chain mapping: Create a map of suppliers, sub-assemblies, and logistics to identify single points of failure and resilience steps.
95. Aesthetic consistency: Audit visual aesthetics across listings and shop page. Propose a cohesive style guide for future optimizations.
96. Customer education content: Create educational content that helps buyers choose products, size guides, and care instructions to reduce returns.
97. Marketplace policy updates: Track Etsy policy changes and assess impact on shop operations. Propose compliance actions and timelines.
98. Content localization toolkit: Build a toolkit for translating and adapting content for key markets without losing voice.
99. Data-driven decision culture: Institute a regular decision-review ritual using data, hypotheses, and documented outcomes.
100. Performance review summary: Produce a concise, data-backed performance review template for Etsy sellers including KPIs, actions, owners, and timelines.

Best Practices

• Use prompts in weekly or quarterly reviews to keep focus on high-impact improvements.
• Combine multiple prompts to create a comprehensive review packet for stakeholders.
• Keep outputs auditable with sources or data references and clear owners.
• Regularly update prompts with latest data to maintain relevance.
• Test prompts with a small data sample before full-scale use.

Common Mistakes to Avoid

• Relying on vague metrics without concrete targets.
• Using outputs that lack owners or timelines.
• Ignoring data quality issues that skew results.
• Overloading prompts with too many variables.
• Neglecting to verify outputs against actual shop analytics.

FAQ

What is the best way to start a performance review for an Etsy shop?

Begin with a clear objective, gather recent data across sales, listings, and reviews, then use prompts to extract actionable insights and assign owners.

How often should a performance review be run for Etsy sellers?

Most shops benefit from a quarterly review, with a more extensive annual review to set long-term goals.

Can these prompts help with pricing decisions on Etsy?

Yes. Several prompts assess pricing competitiveness, margins, and promotions to inform pricing strategies.

How do I ensure prompts stay relevant as shop data changes?

Iterate prompts monthly by updating data inputs, KPIs, and targets to reflect current performance.

What formats should outputs take for easy execution?

Prefer concise bullet lists, tables, and checklists that assign owners, due dates, and success metrics.

How can I protect data privacy when using prompts?

Use non-sensitive placeholders and avoid sharing customer-identifying information in prompts or outputs.