← Back to Analysis Directory Sample Report: Sales Performance

Context and Data Preparation

Analysis Overview and Data Quality

OV

Analysis Overview

Amazon Sales Performance Configuration

Analysis overview and configuration

Sales Performance
FBA Seller
Analyze Amazon Seller Central order data for sales insights
Module Configuration
top_n_products 10
Processing ID
test_1765950001
IN

Key Insights

Analysis Overview

Purpose

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.

Key Findings

  • Total Revenue: $2833.28 - Indicates the overall sales generated during the analysis period.
  • Average Order Value: $80.951 - Represents the average value of each order placed.
  • FBA Revenue Percentage: 69.797% - Shows the proportion of revenue generated through Fulfillment by Amazon (FBA).

Interpretation

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.

Context

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.

IN

Key Insights

Analysis Overview

Purpose

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.

Key Findings

  • Total Revenue: $2833.28 - Indicates the overall sales generated during the analysis period.
  • Average Order Value: $80.951 - Represents the average value of each order placed.
  • FBA Revenue Percentage: 69.797% - Shows the proportion of revenue generated through Fulfillment by Amazon (FBA).

Interpretation

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.

Context

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.

PP

Data Preprocessing

Data Quality & Completeness

0
Final Observations

Data preprocessing and column mapping

Data Pipeline
0
Initial Records
0
Clean Records
Column Mapping
purchase_date
purchase-date
item_price
item-price
units
quantity
order_status
order-status
fulfillment_channel
fulfillment-channel
product_name
product-name
product_sku
sku
amazon_order_id
amazon-order-id
0 Records
MCP Analytics
IN

Key Insights

Data Preprocessing

Purpose

This section outlines the data preprocessing steps taken, including data cleaning, retention rate, and any transformations applied.

Key Findings

  • Initial Rows: 0 - No observations were present initially.
  • Final Rows: 0 - After processing, no data remained.
  • Rows Removed: 0 - No data was removed during preprocessing.
  • Retention Rate: 100% - All data was retained after cleaning.

Interpretation

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.

Context

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.

IN

Key Insights

Data Preprocessing

Purpose

This section outlines the data preprocessing steps taken, including data cleaning, retention rate, and any transformations applied.

Key Findings

  • Initial Rows: 0 - No observations were present initially.
  • Final Rows: 0 - After processing, no data remained.
  • Rows Removed: 0 - No data was removed during preprocessing.
  • Retention Rate: 100% - All data was retained after cleaning.

Interpretation

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.

Context

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.

Executive Summary

Key Findings and Recommendations

TLDR

Executive Summary

Key Findings & Recommendations

2833
Total Revenue

Key Performance Indicators

Total revenue
2,833.28
Total orders
35
Avg order value
80.95
Fba revenue pct
69.8

Key Findings

Key findings

Finding Value
Total Revenue $2,833.28
Total Orders 35
Average Order Value $80.95
FBA Share 69.8%
Top Channel FBA

Executive Summary

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.

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Key Insights

Executive Summary

Purpose

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.

Key Findings

  • Total Revenue: $2,833.28 - Revenue generated from 35 orders over 18 days.
  • Average Order Value: $80.95 - Average value of each order placed.
  • FBA Revenue Share: 69.8% - Percentage of total revenue from Fulfillment by Amazon.
  • Unique Products: 23 different items sold during the period.

Interpretation

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.

Context

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.

IN

Key Insights

Executive Summary

Purpose

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.

Key Findings

  • Total Revenue: $2,833.28 - Revenue generated from 35 orders over 18 days.
  • Average Order Value: $80.95 - Average value of each order placed.
  • FBA Revenue Share: 69.8% - Percentage of total revenue from Fulfillment by Amazon.
  • Unique Products: 23 different items sold during the period.

Interpretation

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.

Context

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.

Revenue Trend

Sales Performance Over Time

RT

Revenue Trend

Sales Performance Over Time

18
Daily Avg Revenue

Revenue performance over time showing sales trajectory

18
date range days
157.404
daily avg revenue
IN

Key Insights

Revenue Trend

Purpose

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.

Key Findings

  • Date Range Days: 18 - The duration of the revenue analysis.
  • Daily Average Revenue: $157.4 - The average revenue generated per day.
  • Order Count: Ranges from 1 to 2 daily, with a mean of 1.94.
  • Units Sold: Average of 2.56 units per day.
  • Revenue Distribution: Varied revenue amounts per day, with a mean of $157.4.

Interpretation

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.

Context

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.

IN

Key Insights

Revenue Trend

Purpose

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.

Key Findings

  • Date Range Days: 18 - The duration of the revenue analysis.
  • Daily Average Revenue: $157.4 - The average revenue generated per day.
  • Order Count: Ranges from 1 to 2 daily, with a mean of 1.94.
  • Units Sold: Average of 2.56 units per day.
  • Revenue Distribution: Varied revenue amounts per day, with a mean of $157.4.

Interpretation

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.

Context

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 Volume

Order Count Analysis

OV

Order Volume

Order Count Over Time

35
Total Orders

Order volume patterns and trends over time

35
total orders
1.944
daily avg orders
1.314
avg units per order
IN

Key Insights

Order Volume

Purpose

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.

Key Findings

  • Total Orders: 35 - Indicates the overall volume of orders processed during the period.
  • Daily Average Orders: 1.944 - Shows the average number of orders received per day.
  • Average Units per Order: 1.314 - Reflects the average number of units sold per order.

Interpretation

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.

Context

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.

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Key Insights

Order Volume

Purpose

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.

Key Findings

  • Total Orders: 35 - Indicates the overall volume of orders processed during the period.
  • Daily Average Orders: 1.944 - Shows the average number of orders received per day.
  • Average Units per Order: 1.314 - Reflects the average number of units sold per order.

Interpretation

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.

Context

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.

Fulfillment Performance

FBA vs MFN Channel Comparison

FP

Fulfillment Performance

FBA vs MFN Comparison

1977.55
FBA Revenue %

Comparison of FBA vs MFN fulfillment channel performance

1977.55
fba revenue
855.73
mfn revenue
69.797
fba revenue pct
IN

Key Insights

Fulfillment Performance

Purpose

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.

Key Findings

  • FBA Revenue: $1,977.55 - FBA contributes significantly more revenue compared to MFN.
  • MFN Revenue: $855.73 - MFN contributes a lower but still substantial amount to the total revenue.
  • FBA Revenue Percentage: 69.8% - FBA accounts for the majority of the total revenue.

Interpretation

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.

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.

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Key Insights

Fulfillment Performance

Purpose

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.

Key Findings

  • FBA Revenue: $1,977.55 - FBA contributes significantly more revenue compared to MFN.
  • MFN Revenue: $855.73 - MFN contributes a lower but still substantial amount to the total revenue.
  • FBA Revenue Percentage: 69.8% - FBA accounts for the majority of the total revenue.

Interpretation

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.

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.

Top Products

Best Performing Products

TP

Top Products

Best Performing Products by Revenue

10
Unique Products

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
23
unique products
46
total units sold
IN

Key Insights

Top Products

Purpose

This section highlights the top-performing products based on revenue contribution, showcasing the products driving sales and revenue in the dataset.

Key Findings

  • Total Unique Products: 23 - Indicates the variety of products sold.
  • Total Units Sold: 46 - Reflects the overall sales volume.
  • Top Revenue Product: Noise Canceling Headphones Over-Ear - Generated the highest revenue at 10.6% of total revenue.
  • Top Units Sold Product: Stainless Steel Water Bottle 32oz - Sold the most units at 4, contributing 8.8% to total revenue.

Interpretation

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.

Context

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.

IN

Key Insights

Top Products

Purpose

This section highlights the top-performing products based on revenue contribution, showcasing the products driving sales and revenue in the dataset.

Key Findings

  • Total Unique Products: 23 - Indicates the variety of products sold.
  • Total Units Sold: 46 - Reflects the overall sales volume.
  • Top Revenue Product: Noise Canceling Headphones Over-Ear - Generated the highest revenue at 10.6% of total revenue.
  • Top Units Sold Product: Stainless Steel Water Bottle 32oz - Sold the most units at 4, contributing 8.8% to total revenue.

Interpretation

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.

Context

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.

Daily Sales Pattern

Revenue Distribution by Day

DS

Daily Sales Pattern

Daily Revenue Distribution

24.99
Median Order Value

Daily sales distribution and patterns

24.99
min order value
224.91
max order value
49.99
median order value
IN

Key Insights

Daily Sales Pattern

Purpose

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.

Key Findings

  • Minimum Order Value: $24.99 - Represents the lowest value of a single order.
  • Maximum Order Value: $224.91 - Indicates the highest value of a single order.
  • Median Order Value: $49.99 - Reflects the middle value when all order values are arranged in ascending order.

Interpretation

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.

Context

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.

IN

Key Insights

Daily Sales Pattern

Purpose

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.

Key Findings

  • Minimum Order Value: $24.99 - Represents the lowest value of a single order.
  • Maximum Order Value: $224.91 - Indicates the highest value of a single order.
  • Median Order Value: $49.99 - Reflects the middle value when all order values are arranged in ascending order.

Interpretation

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.

Context

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.