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Soulocal Deep Sales and Downloads Analysis: Overall and Zone-Wise

By Ashik Akthar | Published on Feb 20, 2025

Overview

This report provides a detailed analysis of Soulocal's order and download trends over the year of 2023. By evaluating both overall and zone-wise performance, we can identify patterns in customer acquisition, regional engagement, customer purchase behavior and business growth opportunities

Key Metrics Analyzed

  • Sales Volume: Number of orders generated Overall and Zone-Wise
  • Sales Conversion Rate (SCR): From app installation to purchase
  • Average Order Value (AOV): The average amount spent per transaction
  • Repeat Purchase Rate (RPR): number of repeat purchases
  • Customer Retention Rate: Percentage of repeat customers

Performance Breakdown by Overall

Inventory Loss Graph

Performance Breakdown by Zone Wise

Zone 1 was piloted during the last two months of the previous year, so it already has approximately 1,500+ customers, while Zones 2, 3, and 4 are starting from scratch

Inventory Loss Graph Inventory Loss Graph

Key Metrics Analysis & Insights

Overall Sales - ₹17M

Zone Wise Sales:
  • Zone 1 - ₹8M
  • Zone 2 - ₹4M
  • Zone 3 - ₹2M
  • Zone 4 - ₹1M
  • Average order value (AOV) - ₹800
  • Repeat Purchase Rate (RPR) - 2 to 3 times / month
  • Sales Conversion Rate (SCR) - 15%
  • Customer Retention Rate - 85%

    • Potential Growth Opportunities

    • Boost Repeat Purchase Rate (RPR): Enhance stock management to increase orders
    • Sustain Average Order Value (AOV): stockup wide Range of products
    • Increase Average Order Value (AOV): Offer high value items
    • Personalized Promotions: Offer region-specific discounts based on high-demand categories

    Action Plan for Improvement

    Short-Term
    • Optimize Stock Management – Implement AI-driven inventory forecasting to reduce stockouts and increase order frequency
    • Initiate Region-Specific Promotions – Deploy geo-targeted discounts to drive conversions in high-potential areas
    Mid-Term
    • Enhance Repeat Purchase Strategy – Implement automated reorder reminders and subscription models for high-frequency items
    • Data-Driven Personalization – Utilize AI analytics to deliver tailored promotions based on customer buying patterns
    Long-Term
    • Expand into New Markets – Use insights from region-wise sales data to scale into underperforming zones
    • Optimize Logistics & Fulfillment – Enhance last-mile delivery efficiency to maintain customer satisfaction and retention

    Key Outcomes & Achievements

    1

    Increased 10% AOV by offering high-value products

    2

    Stock management affects over 80% of customer retention rather delayed orders