Squeeze Every Rupee of Revenue From Your Store
E-commerce success is determined by hundreds of micro-optimizations — product page copy, pricing psychology, email sequences, checkout flow, and post-purchase experience. These 50 prompts give you systematic frameworks for every revenue lever in your store, whether you sell on Shopify, WooCommerce, Amazon, or Etsy.
Each prompt uses chain-of-thought for conversion analysis, few-shot examples from successful stores, and tree-of-thought for pricing strategy. Variables like {{store_type}}, {{product_category}}, {{aov}}, and {{traffic_source}} ensure actionable recommendations.
What's Inside — 50 Expert Prompts
- Conversion Rate Audit — Analyzes {{store_url}} for conversion killers across homepage, collection pages, product pages, and checkout with prioritized fix recommendations.
- Product Page Copywriter — Generates high-converting product description for {{product}} using problem-agitation-solution framework with SEO optimization and social proof placement.
- Pricing Strategy Optimizer — Evaluates {{pricing_model}} with psychological pricing, bundling strategies, anchor pricing, and margin optimization for {{product_category}}.
- Inventory Forecasting Model — Projects inventory needs for {{product}} over {{timeframe}} with seasonality, lead times, safety stock, and reorder point calculations.
- Customer Lifetime Value Calculator — Computes CLV for {{customer_segment}} with purchase frequency, AOV trends, retention curves, and acquisition cost benchmarking.
- Retention Email Sequence Designer — Creates {{sequence_length}}-email post-purchase sequence for {{store}} with timing, content, and personalization strategy.
- Upsell & Cross-Sell Framework — Designs product recommendation strategy for {{catalog}} with upsell triggers, bundle offers, and cross-sell placement optimization.
- Abandoned Cart Recovery System — Creates multi-channel (email, SMS, retargeting) cart recovery for {{store}} with messaging sequence and incentive ladder.
- Product Launch Playbook — Plans launch for {{new_product}} with pre-launch buzz, launch day execution, and post-launch optimization across channels.
- SEO Product Optimization — Optimizes {{product_page}} for organic search with title tags, meta descriptions, structured data, and content enhancement.
- Customer Feedback Analyzer — Analyzes {{review_data}} for product insights, service issues, and competitive intelligence with sentiment analysis.
- Shipping Strategy Optimizer — Designs shipping policy for {{store}} balancing customer expectations, margin impact, and competitive positioning.
- Returns Reduction Framework — Analyzes {{return_data}} for patterns and creates prevention strategies: better descriptions, size guides, and expectation setting.
- Seasonal Campaign Planner — Creates {{season}} campaign for {{store}} with content calendar, promotion strategy, inventory preparation, and post-season analysis.
- Customer Segmentation Engine — Segments {{customer_base}} by RFM (recency, frequency, monetary) with targeted marketing strategies for each segment.
Each Prompt Includes
- {{placeholder}} variables for store type, product category, current metrics, and growth goals
- Expected output: optimization plans, copywriting, email sequences, or analytical frameworks
- Chain-of-thought conversion analysis and pricing psychology principles
- Anti-patterns: discount addiction, shipping surprise, and one-size-fits-all marketing
Who This Is For
- E-commerce store owners on Shopify, WooCommerce, or BigCommerce
- Amazon/Flipkart sellers optimizing listings and operations
- D2C brand founders building direct customer relationships
- E-commerce marketers managing retention and growth campaigns
What Makes This Different
- Covers ALL revenue levers: traffic, conversion, AOV, frequency, and retention — not just one
- Platform-agnostic: works for Shopify, WooCommerce, Amazon, and marketplace sellers
- Includes Indian e-commerce context: COD optimization, Diwali/festive planning, GST pricing
Works With
ChatGPT (GPT-4+), Claude (3.5+), Gemini Pro. Excellent results across all models.
