Analysis Overview and Data Quality
Amazon Sales Performance Configuration
Analysis overview and configuration
test_1765950001
Analysis Overview
This section provides insights into the sales performance analysis of Amazon orders, focusing on key metrics, data characteristics, and the overall setup of the analysis.
The analysis reveals a total revenue of $2833.28 with an average order value of $80.951. The dominance of FBA revenue at 69.797% suggests a significant reliance on Amazon’s fulfillment services for sales.
The analysis covers a specific period, providing insights into sales performance metrics and the distribution of revenue between different fulfillment channels. Additional context on product performance and customer behavior could enhance the analysis further.
Analysis Overview
This section provides insights into the sales performance analysis of Amazon orders, focusing on key metrics, data characteristics, and the overall setup of the analysis.
The analysis reveals a total revenue of $2833.28 with an average order value of $80.951. The dominance of FBA revenue at 69.797% suggests a significant reliance on Amazon’s fulfillment services for sales.
The analysis covers a specific period, providing insights into sales performance metrics and the distribution of revenue between different fulfillment channels. Additional context on product performance and customer behavior could enhance the analysis further.
Data Quality & Completeness
Data preprocessing and column mapping
Data Preprocessing
This section outlines the data preprocessing steps taken, including data cleaning, retention rate, and any transformations applied.
The data preprocessing section indicates that no data cleaning or transformation was necessary, resulting in a 100% retention rate. This suggests that the initial data was already in a suitable format for analysis, potentially saving time and ensuring data integrity.
The high retention rate and lack of data removal imply that the dataset was likely well-structured and clean from the start, which is beneficial for accurate analysis and reliable insights.
Data Preprocessing
This section outlines the data preprocessing steps taken, including data cleaning, retention rate, and any transformations applied.
The data preprocessing section indicates that no data cleaning or transformation was necessary, resulting in a 100% retention rate. This suggests that the initial data was already in a suitable format for analysis, potentially saving time and ensuring data integrity.
The high retention rate and lack of data removal imply that the dataset was likely well-structured and clean from the start, which is beneficial for accurate analysis and reliable insights.
Key Findings and Recommendations
Key Findings & Recommendations
| Finding | Value |
|---|---|
| Total Revenue | $2,833.28 |
| Total Orders | 35 |
| Average Order Value | $80.95 |
| FBA Share | 69.8% |
| Top Channel | FBA |
Bottom Line: Amazon sales generated $2,833.28 in revenue from 35 orders over 18 days.
Key Findings:
• Average Order Value: $80.95
• Daily Revenue: $157.4 average
• FBA Revenue: 69.8% of total
• Products: 23 unique items sold
Recommendation: Consider increasing FBA usage to improve delivery speed and customer satisfaction.
Executive Summary
This section provides a concise overview of the key findings and insights derived from the executive summary and data profile, focusing on the Amazon sales performance analysis.
The analysis indicates a healthy revenue stream from Amazon sales, with a significant portion attributed to Fulfillment by Amazon (FBA). The average order value suggests customers are spending a reasonable amount per transaction, contributing to the overall revenue. The variety of unique products sold highlights a diverse product range attracting customers.
The analysis provides valuable insights into revenue generation, order patterns, and fulfillment channel performance. However, further investigation into product performance and customer segmentation could offer deeper strategic insights for optimizing sales performance.
Executive Summary
This section provides a concise overview of the key findings and insights derived from the executive summary and data profile, focusing on the Amazon sales performance analysis.
The analysis indicates a healthy revenue stream from Amazon sales, with a significant portion attributed to Fulfillment by Amazon (FBA). The average order value suggests customers are spending a reasonable amount per transaction, contributing to the overall revenue. The variety of unique products sold highlights a diverse product range attracting customers.
The analysis provides valuable insights into revenue generation, order patterns, and fulfillment channel performance. However, further investigation into product performance and customer segmentation could offer deeper strategic insights for optimizing sales performance.
Sales Performance Over Time
Sales Performance Over Time
Revenue performance over time showing sales trajectory
Revenue Trend
This section illustrates the revenue trend over 18 days, highlighting the daily average revenue of $157.4. It provides a snapshot of the sales trajectory during the specified period.
The consistent daily average revenue of $157.4 indicates stable sales performance over the analyzed period. The range of units sold and order count provides insights into customer purchasing behavior, aiding in understanding demand fluctuations.
The revenue trend section focuses solely on the financial aspect of sales performance, providing a detailed breakdown of revenue, order count, and units sold over the specified timeframe. It serves as a fundamental component in evaluating the financial health and daily revenue generation of the business.
Revenue Trend
This section illustrates the revenue trend over 18 days, highlighting the daily average revenue of $157.4. It provides a snapshot of the sales trajectory during the specified period.
The consistent daily average revenue of $157.4 indicates stable sales performance over the analyzed period. The range of units sold and order count provides insights into customer purchasing behavior, aiding in understanding demand fluctuations.
The revenue trend section focuses solely on the financial aspect of sales performance, providing a detailed breakdown of revenue, order count, and units sold over the specified timeframe. It serves as a fundamental component in evaluating the financial health and daily revenue generation of the business.
Order Count Analysis
Order Count Over Time
Order volume patterns and trends over time
Order Volume
This section provides insights into the order volume patterns and trends over the specified time period, highlighting the total number of orders, average daily orders, and the average number of units per order.
The data reveals a consistent flow of orders, averaging around 1.9 orders per day with an average of 1.3 units per order. This suggests stable customer engagement and potentially indicates the efficiency of the sales process in converting orders.
Understanding the order volume is crucial for assessing sales performance and operational efficiency. However, further analysis may be needed to explore factors influencing order fluctuations and to optimize strategies for maintaining or increasing order volumes.
Order Volume
This section provides insights into the order volume patterns and trends over the specified time period, highlighting the total number of orders, average daily orders, and the average number of units per order.
The data reveals a consistent flow of orders, averaging around 1.9 orders per day with an average of 1.3 units per order. This suggests stable customer engagement and potentially indicates the efficiency of the sales process in converting orders.
Understanding the order volume is crucial for assessing sales performance and operational efficiency. However, further analysis may be needed to explore factors influencing order fluctuations and to optimize strategies for maintaining or increasing order volumes.
FBA vs MFN Channel Comparison
FBA vs MFN Comparison
Comparison of FBA vs MFN fulfillment channel performance
Fulfillment Performance
This section compares the performance of Fulfillment by Amazon (FBA) and Merchant Fulfillment Network (MFN) channels in terms of revenue, order count, average order value, and their contribution to total revenue. Understanding this breakdown is crucial for assessing the effectiveness of different fulfillment strategies.
The data indicates that FBA is the primary revenue driver, generating almost 70% of the total revenue. This suggests that leveraging FBA for fulfillment could be a key strategy for maximizing sales and revenue in this context.
These metrics provide a clear picture of the revenue distribution between FBA and MFN channels but do not delve into the specific reasons behind the revenue split or the impact on overall profitability. Further analysis could explore the cost-effectiveness and customer satisfaction aspects of each fulfillment method.
Fulfillment Performance
This section compares the performance of Fulfillment by Amazon (FBA) and Merchant Fulfillment Network (MFN) channels in terms of revenue, order count, average order value, and their contribution to total revenue. Understanding this breakdown is crucial for assessing the effectiveness of different fulfillment strategies.
The data indicates that FBA is the primary revenue driver, generating almost 70% of the total revenue. This suggests that leveraging FBA for fulfillment could be a key strategy for maximizing sales and revenue in this context.
These metrics provide a clear picture of the revenue distribution between FBA and MFN channels but do not delve into the specific reasons behind the revenue split or the impact on overall profitability. Further analysis could explore the cost-effectiveness and customer satisfaction aspects of each fulfillment method.
Best Performing Products
Best Performing Products by Revenue
Best-performing products by revenue contribution
| product_name | sku | units_sold | revenue | pct_of_total_revenue |
|---|---|---|---|---|
| Noise Canceling Headphones Over-Ear | NCH-BLK | 2.000 | 299.980 | 10.600 |
| Smart Watch Fitness Tracker | SWFT-BLK | 2.000 | 259.980 | 9.200 |
| Stainless Steel Water Bottle 32oz | SSWB-32OZ | 4.000 | 249.900 | 8.800 |
| Premium Yoga Mat 6mm - Blue | PYM-6MM-BLU | 2.000 | 199.960 | 7.100 |
| Portable Power Bank 20000mAh | PPB-20K | 3.000 | 199.950 | 7.100 |
| Wireless Bluetooth Earbuds Pro - Active Noise Cancellation | WBE-PRO-BLK | 2.000 | 179.980 | 6.400 |
| French Press Coffee Maker 34oz | FPCM-34OZ | 3.000 | 174.950 | 6.200 |
| Organic Cotton T-Shirt Navy - Medium | OCT-NAV-M | 2.000 | 139.960 | 4.900 |
| Bamboo Utensil Set Travel | BUS-TRVL | 3.000 | 134.910 | 4.800 |
| Wireless Charging Pad 15W Fast | WCP-15W | 3.000 | 124.950 | 4.400 |
Top Products
This section highlights the top-performing products based on revenue contribution, showcasing the products driving sales and revenue in the dataset.
The top products play a significant role in revenue generation, with a few products standing out in terms of both revenue and units sold. Understanding the performance of these key products can help in optimizing marketing strategies or inventory management for better sales outcomes.
The top products section provides a snapshot of the most impactful items in the dataset. However, it’s essential to consider other factors like marketing efforts or seasonality that may influence product performance.
Top Products
This section highlights the top-performing products based on revenue contribution, showcasing the products driving sales and revenue in the dataset.
The top products play a significant role in revenue generation, with a few products standing out in terms of both revenue and units sold. Understanding the performance of these key products can help in optimizing marketing strategies or inventory management for better sales outcomes.
The top products section provides a snapshot of the most impactful items in the dataset. However, it’s essential to consider other factors like marketing efforts or seasonality that may influence product performance.
Revenue Distribution by Day
Daily Revenue Distribution
Daily sales distribution and patterns
Daily Sales Pattern
This section provides a snapshot of the daily sales distribution, highlighting the range of order values from $24.99 to $224.91 with a median of $49.99. Understanding these metrics helps in assessing the variability and central tendency of individual order values.
The range from the minimum to maximum order values showcases the diversity in purchase amounts, with the median providing insight into the typical order value. This information aids in understanding customer spending patterns and the revenue distribution across different order values.
These metrics offer a focused view on individual order values within the daily sales data, complementing the broader analysis of total revenue, order count, and average order value across the entire period.
Daily Sales Pattern
This section provides a snapshot of the daily sales distribution, highlighting the range of order values from $24.99 to $224.91 with a median of $49.99. Understanding these metrics helps in assessing the variability and central tendency of individual order values.
The range from the minimum to maximum order values showcases the diversity in purchase amounts, with the median providing insight into the typical order value. This information aids in understanding customer spending patterns and the revenue distribution across different order values.
These metrics offer a focused view on individual order values within the daily sales data, complementing the broader analysis of total revenue, order count, and average order value across the entire period.