Data Science Policy

• Data collection pipeline optimization:
Improvements to the Shopify account customer data collection process to ensure it is efficient and accurate.

• Order analysis:
Detailed monthly review of orders placed to identify behavioral patterns, such as most popular or best-selling products, buyer locations, and any other notable findings that may contribute to or help the brand. This analysis helps understand purchasing patterns, identify opportunities to improve the offering, optimize the sales strategy, and improve segmentation or update target audiences.

• Abandoned cart analysis:
Monthly abandoned cart assessment to analyze potential reasons behind them, identify behavioral trends, and segment high-interest shoppers. This analysis seeks to find effective ways to reduce the number of abandoned carts and improve conversion rates.

• Subscriber analysis:
Monthly review of the subscriber database to analyze their behavior and compare interested parties with actual buyers. This analysis allows us to evaluate the effectiveness of marketing strategies, optimize the website, and offer recommendations for improving both aspects.

• Delivery of monthly report:
Monthly report with the results of data analysis, compared to the store's historical performance. Includes recommendations based on identified trends and areas for improvement to optimize the sales strategy.