Discount by Products

Discount by Products

Measures:

  • Line Value
  • Line Discounted Value
  • Line Discount
  • Current Quantity

Dimensions:
Shop Name, Product Status, Product Variant Display Name, Item Variant Title, Currency Code, Product Type, Product, Product Description, Item Title, Item SKU, Item Name

Support:

  • Multicurrency, multi-store, multi-time-level analysis over the last three years.
  • Measures broken down by year-on-years, year-to-dates, month-to-dates, quarter-to-dates, and other granular levels for trend detection.

1. Solopreneur

a) Current Problems Solved

  1. Difficulty identifying which products generate the highest discounts.
  2. No visibility into product-level discount trends.
  3. Challenges in understanding how discounts affect inventory movement.
  4. Lack of metrics to optimize pricing strategies for discounted products.
  5. Difficulty tracking product performance across regions.
  6. Limited ability to correlate discounts with product profitability.
  7. Inability to detect fraud or errors in discount applications.
  8. Poor understanding of seasonal product discount trends.
  9. Difficulty managing discounts across multiple product variants.
  10. Challenges forecasting sales trends for discounted products.

b) Future Problems Without Feature

  1. Missed opportunities to optimize product-level discount strategies.
  2. Loss of revenue due to inefficient discounting.
  3. Reduced ability to forecast inventory needs for discounted products.
  4. Poor competitiveness against brands offering optimized discounts.
  5. Challenges scaling promotions for new product launches.
  6. Difficulty aligning product discounting with customer preferences.
  7. Reduced profit margins from over-discounted products.
  8. Loss of market share to competitors with advanced analytics.
  9. Limited ability to expand product lines based on discount performance.
  10. Inefficient use of marketing budgets for product promotions.

c) Impossible Goals Achieved

  1. Maximize profitability for discounted products across all stores.
  2. Automate tracking of product-level discount trends.
  3. Recover 30% of revenue lost to ineffective product discounts.
  4. Build product discount strategies tailored to specific customer segments.
  5. Align product pricing strategies with inventory movement.
  6. Predict seasonal product sales trends based on discount analytics.
  7. Scale discount campaigns globally for high-performing products.
  8. Detect and prevent fraud or errors in product discount applications.
  9. Increase customer satisfaction through targeted product discounts.
  10. Improve inventory turnover by aligning discounts with demand.

2. Marketing Agency for Shopify Merchants

a) Current Problems Solved

  1. Inability to analyze product discount performance for clients.
  2. Difficulty advising clients on discount strategies for specific products.
  3. Poor reporting on product-level discount trends.
  4. Limited ability to demonstrate ROI on product discount campaigns.
  5. Challenges scaling client promotions for discounted products.
  6. No tools to detect errors in client product discount applications.
  7. Poor understanding of how discounts affect client inventory movement.
  8. Inconsistent client strategies for managing product discounts.
  9. Difficulty forecasting client sales trends tied to product discounts.
  10. Limited insights into regional trends in product discount usage.

b) Future Problems Without Feature

  1. Loss of client trust due to inadequate analytics.
  2. Reduced ROI on client product discount campaigns.
  3. Missed opportunities to upsell advanced discount strategies.
  4. Difficulty scaling client campaigns globally.
  5. Poor competitiveness against agencies offering advanced analytics.
  6. Reduced client satisfaction from ineffective product discount strategies.
  7. Challenges aligning client inventory management with product discounts.
  8. Difficulty forecasting long-term client revenue tied to discounts.
  9. Loss of clients to competitors with better reporting tools.
  10. Limited ability to expand client offerings based on analytics.

c) Impossible Goals Achieved

  1. Improve client ROI by 50% using product discount analytics.
  2. Automate product discount reporting for multi-store clients.
  3. Scale client campaigns for discounted products globally.
  4. Build fraud detection systems for client product discounts.
  5. Align client pricing strategies with discount-driven inventory trends.
  6. Predict client sales growth for discounted products.
  7. Establish the agency as a leader in product discount optimization.
  8. Build loyalty programs tied to product discount performance.
  9. Recover 20% of revenue lost to client inefficiencies.
  10. Improve client retention rates through actionable insights.

3. Established Shopify Brand Owners

a) Current Problems Solved

  1. Difficulty managing discounts for a large product catalog.
  2. Limited visibility into product-level discount trends across stores.
  3. Challenges optimizing pricing for discounted products.
  4. Poor understanding of how discounts affect inventory movement.
  5. No tools to align product discounts with customer preferences.
  6. Limited ability to detect fraud in product discount applications.
  7. Poor scalability of global discount strategies.
  8. Challenges forecasting trends for discounted product sales.
  9. Inconsistent application of discounts across regions.
  10. Poor ability to measure the financial impact of discounts on profitability.

b) Future Problems Without Feature

  1. Loss of revenue from inefficient discount management.
  2. Reduced profit margins for discounted products.
  3. Poor scalability of discount campaigns across markets.
  4. Missed opportunities to align product discounts with customer preferences.
  5. Difficulty predicting product demand based on discount trends.
  6. Challenges competing in global markets.
  7. Inefficient use of marketing budgets for product promotions.
  8. Loss of market share to competitors with advanced analytics.
  9. Reduced customer satisfaction from untargeted product discounts.
  10. Difficulty expanding product lines profitably.

c) Impossible Goals Achieved

  1. Scale discount campaigns globally for high-performing products.
  2. Automate tracking of product-level discount trends.
  3. Optimize pricing strategies for discounted products.
  4. Recover 25% of revenue lost to unoptimized discounts.
  5. Align global campaigns with regional product discount trends.
  6. Build loyalty programs tied to product discount performance.
  7. Detect and prevent fraud in product discount applications.
  8. Predict long-term revenue growth tied to product discounts.
  9. Improve inventory turnover through optimized discounting.
  10. Double the ROI of product discount campaigns.

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