20 Claude Prompts for Ecommerce That Drive More Sales

<context> Product name: [PRODUCT NAME] Category: [CATEGORY] Key features: [FEATURE 1], [FEATURE 2], [FEATURE 3] Target customer: [TARGET AUDIENCE] Price point: [PRICE] Brand tone: [TONE: premium / casual / technical / playful] </context> <task> Write a compelling product description for this item: 1. Opening hook (1-2 sentences): lead with the customer's desire or problem, not the product 2. Feature-benefit paragraph: translate each feature into a tangible customer benefit 3. Social proof hook: one line that implies popularity or trust (e.g. "Trusted by 10,000+ home cooks") 4. Sensory or use-case detail: help the customer picture themselves using the product 5. Call to action: a closing line that nudges toward purchase Constraints: - 150-200 words total - No jargon or superlatives like "best-in-class" or "revolutionary" - Write in second person ("you / your") - End with a soft CTA, not a hard sell </task>

<context> Store type: [STORE TYPE] Brand voice: [BRAND VOICE] SEO target keywords: [KEYWORD 1], [KEYWORD 2] </context> <products> Product 1: [NAME] — [KEY FEATURES] Product 2: [NAME] — [KEY FEATURES] Product 3: [NAME] — [KEY FEATURES] Product 4: [NAME] — [KEY FEATURES] Product 5: [NAME] — [KEY FEATURES] </products> <task> Write a short product description (80-100 words) for each product above. Requirements for each description: - Unique opening sentence — no two descriptions should start the same way - Include at least one target keyword naturally - Focus on the primary customer benefit - End with a soft purchase prompt - Match the brand voice throughout Format output as: Product Name → Description </task>

<context> Product: [PRODUCT NAME] Current description: [PASTE CURRENT DESCRIPTION] Conversion goal: [MORE ADD-TO-CARTS / HIGHER AOV / REDUCE RETURNS] Hypothesis: [WHAT YOU THINK IS UNDERPERFORMING AND WHY] </context> <task> Create three A/B test variants of this product description, each testing a different angle: Variant A — Benefit-first: Lead with the #1 outcome the customer gets Variant B — Problem-first: Open with the pain point this product solves Variant C — Social proof-first: Lead with popularity, ratings, or trust signals For each variant: - Keep it within 10% of the original word count - Maintain the same CTA structure - Highlight what changed and the hypothesis being tested Then recommend which variant to test first and why. </task>

<context> Product name: [PRODUCT NAME] Current title: [CURRENT TITLE TAG] Current description: [CURRENT META DESCRIPTION] Primary keyword: [PRIMARY KEYWORD] Secondary keywords: [KW 2], [KW 3] Competitor title (if known): [COMPETITOR TITLE] </context> <task> Optimize this product page for search and clicks: 1. Rewrite the title tag (50-60 characters): include primary keyword near the front, add a differentiator (year, quantity, or benefit) 2. Rewrite the meta description (140-155 characters): include primary keyword, one benefit, and a soft CTA 3. Suggest an H1 (different from title tag but includes primary keyword) 4. Recommend 3 semantic keyword phrases to work into the product copy naturally 5. Flag any keyword cannibalization risk if the secondary keywords overlap with other pages Show the character count for each optimized element. </task>

<context> Product: [PRODUCT NAME] Current price: [CURRENT PRICE] COGS: [COST OF GOODS SOLD] Competitor prices: [COMP 1: PRICE], [COMP 2: PRICE], [COMP 3: PRICE] Target margin: [TARGET GROSS MARGIN %] Customer segment: [BUDGET / MID-MARKET / PREMIUM] Sales volume last 30 days: [UNITS SOLD] </context> <task> Analyze this product's pricing position and recommend a strategy: 1. Margin analysis: current gross margin vs. target — is there room to move? 2. Competitive position: where does the current price sit vs. competitors (low / mid / premium)? 3. Price elasticity assessment: based on the customer segment, estimate sensitivity to a 10% increase 4. Three pricing scenarios: - Hold: reasons to stay at current price - Increase: optimal price point and expected margin impact - Decrease: conditions under which lowering would grow total profit 5. Recommended action with rationale Flag if COGS leaves insufficient margin for sustainable promotions. </task>

<context> Campaign goal: [CLEAR INVENTORY / ACQUIRE NEW CUSTOMERS / BOOST AOV / SEASONAL] Discount budget: [MAX DISCOUNT % OR DOLLAR AMOUNT] Products in scope: [PRODUCT LIST OR CATEGORY] Campaign duration: [START DATE] to [END DATE] Email list size: [NUMBER] Average order value: [CURRENT AOV] </context> <task> Design a discount campaign plan: 1. Campaign mechanic: recommend the discount structure (% off, dollar off, BOGO, threshold discount) that best fits the goal 2. Messaging hierarchy: headline offer → supporting reason → urgency driver 3. Channel plan: how to sequence the campaign across email, site banners, and social 4. Email sequence (3 emails): - Launch email: subject line + 2-sentence preview text - Mid-campaign reminder: subject line + urgency hook - Last-chance email: subject line + scarcity message 5. Success metrics: what KPIs to track and what thresholds signal success vs. failure Flag any margin risk if the discount structure could result in negative gross profit on any included SKU. </task>

<context> Store category: [CATEGORY] Products available for bundling: - [PRODUCT A]: price [X], COGS [Y] - [PRODUCT B]: price [X], COGS [Y] - [PRODUCT C]: price [X], COGS [Y] - [PRODUCT D]: price [X], COGS [Y] Target AOV lift: [CURRENT AOV] → [TARGET AOV] Customer purchase patterns: [WHAT CUSTOMERS TYPICALLY BUY TOGETHER] </context> <task> Design a bundle pricing strategy: 1. Recommend 2-3 bundle combinations based on natural purchase affinity 2. For each bundle: - Suggested bundle price (show individual total vs. bundle price) - Perceived savings % for the customer - Gross margin impact vs. selling items individually - Bundle name and positioning line (1 sentence) 3. Recommend which bundle to feature prominently and why 4. Suggest how to present the bundle on the product page to maximize uptake (placement, framing, visual hierarchy) </task>

<context> Your product: [PRODUCT NAME AND KEY SPECS] Your price: [YOUR PRICE] Competitor data: - [COMPETITOR 1]: [PRICE], [KEY DIFFERENTIATORS] - [COMPETITOR 2]: [PRICE], [KEY DIFFERENTIATORS] - [COMPETITOR 3]: [PRICE], [KEY DIFFERENTIATORS] Your unique advantages: [LIST 2-3 THINGS YOU DO BETTER] Your current positioning: [HOW YOU DESCRIBE YOURSELF] </context> <task> Produce a competitive pricing analysis: 1. Price gap analysis: where does your price sit relative to the market (% above / below median)? 2. Value-to-price assessment: given your stated advantages, is your price justified or is there a perception gap? 3. Positioning recommendation: should you compete on price, value, or premium positioning — and why? 4. Messaging adjustments: 3 copy changes to justify your price point relative to competitors 5. Pricing risk: what competitor move would most threaten your position, and how should you respond? </task>

<context> Store platform: [SHOPIFY / WOOCOMMERCE / CUSTOM] Current checkout steps: [LIST YOUR CHECKOUT STEPS] Cart abandonment rate: [%] Known friction points: [ANY ISSUES YOU'VE OBSERVED] Average order value: [AOV] Top customer complaints (if any): [PASTE REVIEWS OR SUPPORT TICKETS MENTIONING CHECKOUT] </context> <task> Audit the checkout flow and identify conversion killers: 1. Step-by-step friction analysis: for each checkout step, identify the most likely drop-off reason 2. Top 5 friction points ranked by estimated conversion impact 3. Quick wins (implementable in < 1 week): specific copy, UX, or trust signal changes 4. Structural improvements (requires dev work): checkout flow changes worth testing 5. Trust signals audit: what's missing that would reduce purchase anxiety at each step? 6. Mobile-specific issues: what typically breaks on mobile for this platform? Prioritize recommendations by estimated revenue impact. </task>

<context> Product URL or page content: [PASTE PAGE CONTENT OR DESCRIBE THE PAGE] Current conversion rate: [CVR %] Top traffic source: [ORGANIC / PAID / EMAIL / SOCIAL] Target customer: [WHO BUYS THIS] Main objection (from reviews or support): [TOP REASON CUSTOMERS HESITATE] </context> <task> Optimize this product page for conversion: 1. Above-the-fold audit: does the first screen answer "what is it, who is it for, why should I trust it"? 2. Headline rewrite: 3 alternative H1 options optimized for conversion (not just SEO) 3. Objection handling: where on the page should each main objection be addressed, and how? 4. Social proof placement: specific recommendations for where to add or move reviews, ratings, and trust badges 5. CTA optimization: button copy, placement, and color contrast recommendations 6. Image and media recommendations: what visual content is missing that would increase confidence? 7. Mobile conversion specific: what to prioritize for mobile users from this traffic source Output a prioritized list of changes with estimated conversion impact for each. </task>

<context> Store type: [STORE TYPE] Cart abandonment rate: [%] Average cart value: [VALUE] Time between add-to-cart and abandonment (if known): [MINUTES / HOURS] Current recovery efforts: [WHAT YOU ALREADY DO] Top abandonment reasons (if known): [PRICE / SHIPPING / JUST BROWSING / PAYMENT ISSUES] </context> <task> Design a full abandoned cart recovery strategy: 1. Timing sequence: recommend when to send each recovery touchpoint (email, SMS, retargeting) after abandonment 2. Email sequence (3 emails): - Email 1 (timing + subject + hook): address the most common objection - Email 2 (timing + subject + hook): add urgency or social proof - Email 3 (timing + subject + hook): final nudge with or without incentive 3. Incentive strategy: when to offer a discount, how much, and how to avoid training customers to abandon on purpose 4. Retargeting ad angle: what message to show in retargeting ads for each segment (browsed / added to cart / started checkout) 5. On-site recovery: exit-intent popup strategy and recommended messaging Include expected recovery rate benchmarks for each channel. </task>

<context> Store category: [CATEGORY] Primary product being purchased: [PRODUCT NAME, PRICE] Available upsells: [PRODUCT LIST WITH PRICES] Available cross-sells: [PRODUCT LIST WITH PRICES] Current AOV: [VALUE] Target AOV: [VALUE] Customer behavior: [DO CUSTOMERS TYPICALLY BUY ONCE OR REPEAT PURCHASE?] </context> <task> Design an upsell and cross-sell strategy to increase AOV: 1. Best upsell opportunity: which product to upsell, at what price bump, and what positioning makes it feel like a value add not a hard sell 2. Best cross-sell opportunity: which product to pair, and how to frame the recommendation 3. Placement recommendations: - Cart page: what to show and how to position it - Post-purchase page: what to offer and with what incentive - Thank you email: what to include for a secondary purchase 4. Copy frameworks: 2-3 sentence scripts for each upsell/cross-sell placement 5. What NOT to do: common upsell mistakes that reduce conversion instead of increasing it Estimate AOV impact if 15% of customers accept the primary upsell. </task>

<context> Store type: [PHYSICAL GOODS / DIGITAL / SUBSCRIPTION] Average purchase frequency: [ORDERS PER YEAR PER CUSTOMER] Average order value: [AOV] Customer LTV: [ESTIMATED LIFETIME VALUE] Current retention tactics: [WHAT YOU ALREADY DO] Main churn reason (if known): [WHY CUSTOMERS STOP BUYING] Budget for rewards: [% OF REVENUE OR DOLLAR AMOUNT] </context> <task> Design a loyalty program for this store: 1. Program mechanic: recommend points, tiered, cashback, or hybrid — with rationale based on purchase frequency and AOV 2. Tier structure (if applicable): tier names, thresholds, and benefits for each level 3. Earning mechanics: what actions earn points/rewards beyond purchases (referrals, reviews, social shares) 4. Redemption mechanics: when and how customers can redeem — and how to prevent margin erosion 5. Launch communication: what to tell existing customers, how to migrate them, and what email to send on day 1 6. Success metrics: KPIs to track and 90-day milestones to hit Flag any program design that could reduce margin or incentivize unwanted behavior. </task>

<context> Store type: [STORE TYPE] Definition of lapsed customer: [NO PURCHASE IN X DAYS/MONTHS] Average lapsed customer LTV (before lapsing): [VALUE] Last purchase data available: [YES / NO] Product categories they bought: [IF KNOWN] Current win-back efforts: [IF ANY] </context> <task> Build a win-back campaign for lapsed customers: 1. Segmentation: define 2-3 lapse segments by recency (e.g., 90-day, 6-month, 12-month) and recommend different approaches for each 2. Win-back sequence for primary segment (3 touchpoints): - Message 1: re-engagement hook (no offer yet) - Message 2: soft incentive - Message 3: last chance with stronger offer 3. Subject lines: 2 options for each email, including one curiosity-driven and one direct 4. Suppression rule: at what point should you stop emailing a lapsed customer? 5. Success benchmark: what win-back rate is realistic, and what ROI should you expect? Include a recommended offer depth for each segment that protects margin. </task>

<context> Source of feedback: [REVIEWS / SURVEYS / SUPPORT TICKETS / NPS / ALL] Sample size: [NUMBER OF RESPONSES] Time period: [DATE RANGE] </context> <feedback> [PASTE 20-50 CUSTOMER REVIEWS, SURVEY RESPONSES, OR SUPPORT TICKETS HERE] </feedback> <task> Analyze this customer feedback and extract actionable insights: 1. Sentiment summary: overall positive / neutral / negative split with representative quotes for each 2. Top 5 praise themes: what customers love most (with frequency count) 3. Top 5 complaint themes: what customers complain about most (with frequency count) 4. Hidden friction: issues mentioned only once or twice that could indicate bigger problems 5. Product improvement signals: specific feature or product requests mentioned 6. Marketing copy opportunities: exact phrases customers use to describe the product that could become ad copy or page copy 7. Urgent action items: issues that require immediate response (safety, legal, fulfillment failures) Format as an executive summary followed by a prioritized action list. </task>