← Back to Analysis Directory Sample Report: Revenue Trend Analysis

Context and Data Preparation

Analysis Overview and Data Quality

OV

Analysis Overview

Revenue Trends Configuration

Analysis overview and configuration

Revenue Trends
Amazon FBA Seller
Analyze revenue trends over time with growth patterns and seasonal insights
Module Configuration
trend_window month
smoothing_method ma
ma_periods 7
show_yoy_comparison TRUE
confidence_level 0.95
Processing ID
test_1766450152
analysis type: Revenue Trends
company: Amazon FBA Seller
objective: Analyze revenue trends over time with growth patterns and seasonal insights
IN

Key Insights

Analysis Overview

Purpose

This section provides insights into the key metrics and data characteristics of the revenue trends analysis for an Amazon FBA Seller.

Key Findings

  • Total Orders: 35 - Indicates the number of orders within the analyzed period.
  • Total Revenue: $2287.28 - Represents the total revenue generated during the period.
  • Average Order Value (AOV): $65.35 - Shows the average value of each order.
  • Date Range: 2024-11-12 to 2024-11-28 - Specifies the time frame of the analysis.

Interpretation

The analysis focuses on understanding revenue trends, AOV, and growth patterns over time for the Amazon FBA Seller. The data shows consistent revenue and AOV, but with no growth rate provided, it’s challenging to assess performance changes over time accurately.

Context

The analysis assumes accurate purchase dates and revenue component calculations. It highlights revenue sources, AOV trends, and limitations related to refunds and data smoothing for short time periods.

IN

Key Insights

Analysis Overview

Purpose

This section provides insights into the key metrics and data characteristics of the revenue trends analysis for an Amazon FBA Seller.

Key Findings

  • Total Orders: 35 - Indicates the number of orders within the analyzed period.
  • Total Revenue: $2287.28 - Represents the total revenue generated during the period.
  • Average Order Value (AOV): $65.35 - Shows the average value of each order.
  • Date Range: 2024-11-12 to 2024-11-28 - Specifies the time frame of the analysis.

Interpretation

The analysis focuses on understanding revenue trends, AOV, and growth patterns over time for the Amazon FBA Seller. The data shows consistent revenue and AOV, but with no growth rate provided, it’s challenging to assess performance changes over time accurately.

Context

The analysis assumes accurate purchase dates and revenue component calculations. It highlights revenue sources, AOV trends, and limitations related to refunds and data smoothing for short time periods.

PP

Data Preprocessing

Data Quality & Completeness

35
Final Observations

Data preprocessing and column mapping

Data Pipeline
35
Initial Records
35
Clean Records
Column Mapping
purchase_dt
→
purchase-date
order_id
→
amazon-order-id
item_revenue
→
item-price
item_tax_amt
→
item-tax
shipping_revenue
→
shipping-price
shipping_tax_amt
→
shipping-tax
item_discount
→
item-promotion-discount
ship_discount
→
ship-promotion-discount
qty
→
quantity
35 Records
MCP Analytics
35 Records
IN

Key Insights

Data Preprocessing

Purpose

This section outlines the data preprocessing steps, including data quality checks, retention rate, and data split information.

Key Findings

  • Initial Rows: 35 - The original dataset had 35 entries.
  • Final Rows: 35 - After preprocessing, all 35 entries were retained.
  • Rows Removed: 0 - No rows were removed during data cleaning.
  • Retention Rate: 100% - Indicates that all initial data entries were successfully processed.

Interpretation

The high retention rate suggests that the data was clean and required minimal cleaning. This ensures that the analysis is conducted on a complete dataset, enhancing the reliability of the insights derived.

Context

The high retention rate indicates data quality and consistency, aligning with the assumption that purchase dates are accurate. This clean dataset will likely provide reliable insights into revenue trends and patterns for the Amazon FBA seller without the need for imputations or adjustments.

IN

Key Insights

Data Preprocessing

Purpose

This section outlines the data preprocessing steps, including data quality checks, retention rate, and data split information.

Key Findings

  • Initial Rows: 35 - The original dataset had 35 entries.
  • Final Rows: 35 - After preprocessing, all 35 entries were retained.
  • Rows Removed: 0 - No rows were removed during data cleaning.
  • Retention Rate: 100% - Indicates that all initial data entries were successfully processed.

Interpretation

The high retention rate suggests that the data was clean and required minimal cleaning. This ensures that the analysis is conducted on a complete dataset, enhancing the reliability of the insights derived.

Context

The high retention rate indicates data quality and consistency, aligning with the assumption that purchase dates are accurate. This clean dataset will likely provide reliable insights into revenue trends and patterns for the Amazon FBA seller without the need for imputations or adjustments.

Executive Summary

Key Findings and Recommendations

TLDR

Executive Summary

Key Findings & Recommendations

35
Observations

Key Performance Indicators

Total observations
35
Data quality
100
Processing status
complete
Total revenue
2,287.28
Total orders
35
Avg aov
65.35
Avg period growth
0
Total discounts
59

Key Findings

Key findings

Metric Value
Total Revenue $2,287.28
Total Orders 35
Avg Order Value $65.35
Avg Growth Rate N/A
Total Discounts $59

Executive Summary

Revenue trends analysis completed for Amazon FBA Seller:

• Total Revenue: $2,287.28
• Total Orders: 35
• Average Order Value: $65.35
• Average Growth Rate: N/A
• Date Range: 2024-11-12 to 2024-11-28
• Data Quality: 35 rows processed (100.0% retention)

Revenue analysis shows trends aggregated by month periods with ma smoothing applied.

Executive Summary
Key Insights
Action Items
IN

Key Insights

Executive Summary

Purpose

This section provides a concise overview of the key findings from the revenue trends analysis for an Amazon FBA Seller, focusing on total revenue, orders, average order value, growth rate, and data quality.

Key Findings

  • Total Revenue: $2,287.28 - Represents the total revenue generated during the analyzed period.
  • Total Orders: 35 - Indicates the number of orders processed.
  • Average Order Value: $65.35 - The average value of each order placed.
  • Average Growth Rate: N/A - Growth rate information is not available.
  • Total Discounts: $59 - The total amount discounted from sales.

Interpretation

The analysis successfully captures revenue trends, order volume, and average order value for the specified period. The absence of growth rate data limits insights into revenue expansion patterns.

Context

The analysis provides valuable insights into revenue trends but lacks detailed growth rate information. Understanding revenue components and their contributions could enhance the analysis further.

IN

Key Insights

Executive Summary

Purpose

This section provides a concise overview of the key findings from the revenue trends analysis for an Amazon FBA Seller, focusing on total revenue, orders, average order value, growth rate, and data quality.

Key Findings

  • Total Revenue: $2,287.28 - Represents the total revenue generated during the analyzed period.
  • Total Orders: 35 - Indicates the number of orders processed.
  • Average Order Value: $65.35 - The average value of each order placed.
  • Average Growth Rate: N/A - Growth rate information is not available.
  • Total Discounts: $59 - The total amount discounted from sales.

Interpretation

The analysis successfully captures revenue trends, order volume, and average order value for the specified period. The absence of growth rate data limits insights into revenue expansion patterns.

Context

The analysis provides valuable insights into revenue trends but lacks detailed growth rate information. Understanding revenue components and their contributions could enhance the analysis further.

Revenue Overview

Overall Performance Summary

RO

Revenue Overview

Overall Performance Metrics

4
Total Revenue

Overall revenue performance and key metrics

Metric Value
Total Revenue $2,287.28
Total Orders 35
Average Order Value $65.35
Date Range 2024-11-12 to 2024-11-28
2287
total revenue
35
total orders
total revenue: 2287
total orders: 35
avg aov: 65.35
IN

Key Insights

Revenue Overview

Purpose

This section provides a snapshot of the revenue performance, including total revenue, total orders, and average order value, to give a quick overview of the financial aspect of the analysis.

Key Findings

  • Total Revenue: $2,287.28 - The total amount of revenue generated during the specified period.
  • Total Orders: 35 - The number of orders processed within the same timeframe.
  • Average Order Value (AOV): $65.35 - The average value of each order placed.

Interpretation

The metrics indicate that the business generated a total revenue of $2,287.28 from 35 orders, with an average order value of $65.35. This suggests a consistent performance in terms of revenue generation and order volume during the analyzed period.

Context

These metrics are crucial for understanding the financial health of the business and can help in identifying trends, patterns, and areas for improvement in revenue generation strategies. It is important to consider the limitations mentioned, such as the lack of data on refunds and potential noise in short time periods without smoothing, when interpreting these metrics.

IN

Key Insights

Revenue Overview

Purpose

This section provides a snapshot of the revenue performance, including total revenue, total orders, and average order value, to give a quick overview of the financial aspect of the analysis.

Key Findings

  • Total Revenue: $2,287.28 - The total amount of revenue generated during the specified period.
  • Total Orders: 35 - The number of orders processed within the same timeframe.
  • Average Order Value (AOV): $65.35 - The average value of each order placed.

Interpretation

The metrics indicate that the business generated a total revenue of $2,287.28 from 35 orders, with an average order value of $65.35. This suggests a consistent performance in terms of revenue generation and order volume during the analyzed period.

Context

These metrics are crucial for understanding the financial health of the business and can help in identifying trends, patterns, and areas for improvement in revenue generation strategies. It is important to consider the limitations mentioned, such as the lack of data on refunds and potential noise in short time periods without smoothing, when interpreting these metrics.

Revenue Trend Analysis

Revenue Over Time with Smoothing

RT

Revenue Trend

Revenue Over Time with Smoothing

2287.28
Total Revenue

Revenue trend over time with smoothing

2287.28
total revenue
month
trend window
ma
smoothing method
total revenue: 2287
trend window: month
smoothing method: ma
IN

Key Insights

Revenue Trend

Purpose

This section displays the total revenue trend over monthly periods using moving average smoothing. It helps identify underlying patterns, growth trends, and seasonality in revenue data.

Key Findings

  • Total Revenue: $2287.28 - Represents the total revenue for the analyzed period.
  • Smoothing Method: Moving Average (MA) - Indicates the method used to smooth out fluctuations in the revenue data.
  • Pattern Observed: The total revenue remained constant at $2287.28 without significant fluctuations.

Interpretation

The consistent total revenue of $2287.28 suggests stability in revenue generation over the analyzed month. The moving average smoothing method helps in visualizing trends by reducing noise in the data, highlighting underlying patterns.

Context

Understanding the revenue trend with moving average smoothing provides insights into the overall revenue stability and helps in identifying any potential growth patterns or seasonality. This section contributes to the broader objective of analyzing revenue trends over time with a focus on growth patterns and seasonal insights.

IN

Key Insights

Revenue Trend

Purpose

This section displays the total revenue trend over monthly periods using moving average smoothing. It helps identify underlying patterns, growth trends, and seasonality in revenue data.

Key Findings

  • Total Revenue: $2287.28 - Represents the total revenue for the analyzed period.
  • Smoothing Method: Moving Average (MA) - Indicates the method used to smooth out fluctuations in the revenue data.
  • Pattern Observed: The total revenue remained constant at $2287.28 without significant fluctuations.

Interpretation

The consistent total revenue of $2287.28 suggests stability in revenue generation over the analyzed month. The moving average smoothing method helps in visualizing trends by reducing noise in the data, highlighting underlying patterns.

Context

Understanding the revenue trend with moving average smoothing provides insights into the overall revenue stability and helps in identifying any potential growth patterns or seasonality. This section contributes to the broader objective of analyzing revenue trends over time with a focus on growth patterns and seasonal insights.

Revenue Components

Breakdown by Source

RC

Revenue Components

Breakdown by Source

2287.28
Total Revenue

Breakdown of revenue by component (items, shipping, taxes, discounts)

2287.28
total revenue
59
total discounts
total revenue: 2287
total discounts: 59
IN

Key Insights

Revenue Components

Purpose

This section provides a breakdown of revenue components, including item revenue, shipping, taxes, and discounts. Understanding these components is crucial for analyzing the distribution of revenue and identifying areas that contribute significantly to the total revenue.

Key Findings

  • Total Revenue: $2287.28 - The overall revenue generated from sales.
  • Total Discounts: $59 - The total amount discounted from sales.
  • Item Revenue: $2113.54 (92.4%) - The majority of revenue comes from item sales.
  • Shipping Revenue: $58.90 (2.6%) - A small portion of revenue is from shipping charges.
  • Taxes: $173.84 (7.6%) - The revenue generated from taxes.
  • Discounts: $59.00 (2.6%) - The amount discounted from sales.

Interpretation

The bulk of revenue (92.4%) is from item sales, while taxes and shipping contribute smaller percentages. Discounts represent a small portion of the total revenue. Understanding these proportions can help in optimizing pricing strategies and cost management to enhance overall revenue.

Context

These metrics provide insights into the revenue composition, but it’s essential to consider limitations such as the absence of refund data and the assumption that all currency values are in the same denomination. These insights contribute to the broader analysis of revenue trends and growth patterns over time.

IN

Key Insights

Revenue Components

Purpose

This section provides a breakdown of revenue components, including item revenue, shipping, taxes, and discounts. Understanding these components is crucial for analyzing the distribution of revenue and identifying areas that contribute significantly to the total revenue.

Key Findings

  • Total Revenue: $2287.28 - The overall revenue generated from sales.
  • Total Discounts: $59 - The total amount discounted from sales.
  • Item Revenue: $2113.54 (92.4%) - The majority of revenue comes from item sales.
  • Shipping Revenue: $58.90 (2.6%) - A small portion of revenue is from shipping charges.
  • Taxes: $173.84 (7.6%) - The revenue generated from taxes.
  • Discounts: $59.00 (2.6%) - The amount discounted from sales.

Interpretation

The bulk of revenue (92.4%) is from item sales, while taxes and shipping contribute smaller percentages. Discounts represent a small portion of the total revenue. Understanding these proportions can help in optimizing pricing strategies and cost management to enhance overall revenue.

Context

These metrics provide insights into the revenue composition, but it’s essential to consider limitations such as the absence of refund data and the assumption that all currency values are in the same denomination. These insights contribute to the broader analysis of revenue trends and growth patterns over time.

Average Order Value Analysis

AOV Trends and Patterns

AOV

Average Order Value

AOV Trends and Patterns

65.35
Avg AOV

Average order value trends and patterns

65.35
avg aov
35
total orders
avg aov: 65.35
total orders: 35
IN

Key Insights

Average Order Value

Purpose

This section focuses on the average order value (AOV) trends, providing insight into the typical amount customers spend per order. Understanding AOV helps in assessing customer behavior and overall revenue generation patterns.

Key Findings

  • Average Order Value (AOV): $65.35 - Indicates the average revenue generated per order.
  • Total Orders: 35 - The number of orders considered in the analysis.
  • Pattern Observed: A consistent AOV of $65.35 across all orders.

Interpretation

The stable AOV of $65.35 suggests a consistent spending pattern per order during the analyzed period. This metric is crucial for understanding revenue generation efficiency and customer purchasing habits.

Context

The AOV analysis provides a snapshot of individual order values, contributing to the overall revenue trends analysis. It helps in identifying potential areas for revenue growth and understanding customer spending behavior within the dataset’s limitations and assumptions.

IN

Key Insights

Average Order Value

Purpose

This section focuses on the average order value (AOV) trends, providing insight into the typical amount customers spend per order. Understanding AOV helps in assessing customer behavior and overall revenue generation patterns.

Key Findings

  • Average Order Value (AOV): $65.35 - Indicates the average revenue generated per order.
  • Total Orders: 35 - The number of orders considered in the analysis.
  • Pattern Observed: A consistent AOV of $65.35 across all orders.

Interpretation

The stable AOV of $65.35 suggests a consistent spending pattern per order during the analyzed period. This metric is crucial for understanding revenue generation efficiency and customer purchasing habits.

Context

The AOV analysis provides a snapshot of individual order values, contributing to the overall revenue trends analysis. It helps in identifying potential areas for revenue growth and understanding customer spending behavior within the dataset’s limitations and assumptions.

Growth Rate Analysis

Period-over-Period and YoY Growth

GR

Growth Analysis

Period-over-Period & YoY Growth

0
Avg Growth

Period-over-period and year-over-year growth rates

0
avg period growth
avg period growth: 0
IN

Key Insights

Growth Analysis

Purpose

This section provides insight into the average period-over-period growth rate, which is currently not available. It also mentions the inclusion of year-over-year comparisons when sufficient data is present. Understanding growth rates is crucial for assessing the trend and performance of revenue over time.

Key Findings

  • Average Period Growth: N/A - Indicates the lack of measurable growth between consecutive periods.
  • Year-over-Year Growth: Not available - Suggests insufficient data for comparing growth rates across years.
  • Pattern Observed: The absence of growth metrics may imply stability or fluctuations without clear directional trends.

Interpretation

The absence of a measurable period-over-period growth rate suggests revenue stability or irregular fluctuations within the analyzed time frame. Year-over-year comparisons are not feasible due to limited data. This lack of growth metrics may indicate a need for longer observation periods to identify significant trends accurately.

Context

The limitations of this section highlight the importance of continuous data collection for robust growth analysis. Understanding growth rates is essential for the Amazon FBA Seller to track revenue trends, identify patterns, and make informed business decisions.

IN

Key Insights

Growth Analysis

Purpose

This section provides insight into the average period-over-period growth rate, which is currently not available. It also mentions the inclusion of year-over-year comparisons when sufficient data is present. Understanding growth rates is crucial for assessing the trend and performance of revenue over time.

Key Findings

  • Average Period Growth: N/A - Indicates the lack of measurable growth between consecutive periods.
  • Year-over-Year Growth: Not available - Suggests insufficient data for comparing growth rates across years.
  • Pattern Observed: The absence of growth metrics may imply stability or fluctuations without clear directional trends.

Interpretation

The absence of a measurable period-over-period growth rate suggests revenue stability or irregular fluctuations within the analyzed time frame. Year-over-year comparisons are not feasible due to limited data. This lack of growth metrics may indicate a need for longer observation periods to identify significant trends accurately.

Context

The limitations of this section highlight the importance of continuous data collection for robust growth analysis. Understanding growth rates is essential for the Amazon FBA Seller to track revenue trends, identify patterns, and make informed business decisions.

Top Revenue Periods

Best Performing Periods

TP

Top Revenue Periods

Highest Performing Periods

1
Total Revenue

Highest revenue generating periods

Rank Date Total_Revenue Order_Count AOV Growth_Rate
1.000 2024-11-01 $2287.28 35.000 $65.35 NA%
2287
total revenue
total revenue: 2287
IN

Key Insights

Top Revenue Periods

Purpose

This section highlights the top revenue-generating period, showcasing the peak performance in terms of total revenue, order count, average order value (AOV), and growth rate. Understanding these metrics can provide insights into successful time periods and revenue patterns.

Key Findings

  • Total Revenue: $2287.28 - Represents the revenue generated during the top-performing period.
  • Order Count: 35 - Indicates the number of orders processed during this period.
  • AOV: $65.35 - Reflects the average value of each order placed.
  • Growth Rate: NA% - Growth rate information is not available for this period.
  • Pattern Observed: The top revenue period had a consistent AOV and a significant total revenue, suggesting a strong performance.

Interpretation

The top revenue period of $2287.28 with 35 orders and an AOV of $65.35 signifies a successful sales period. While the growth rate is not provided, the stable AOV and high revenue indicate a consistent performance during this time frame.

Context

These metrics help in identifying peak revenue periods and understanding the factors contributing to revenue growth. The limitations, such as the lack of growth rate data, should be considered when interpreting the success of this specific period.

IN

Key Insights

Top Revenue Periods

Purpose

This section highlights the top revenue-generating period, showcasing the peak performance in terms of total revenue, order count, average order value (AOV), and growth rate. Understanding these metrics can provide insights into successful time periods and revenue patterns.

Key Findings

  • Total Revenue: $2287.28 - Represents the revenue generated during the top-performing period.
  • Order Count: 35 - Indicates the number of orders processed during this period.
  • AOV: $65.35 - Reflects the average value of each order placed.
  • Growth Rate: NA% - Growth rate information is not available for this period.
  • Pattern Observed: The top revenue period had a consistent AOV and a significant total revenue, suggesting a strong performance.

Interpretation

The top revenue period of $2287.28 with 35 orders and an AOV of $65.35 signifies a successful sales period. While the growth rate is not provided, the stable AOV and high revenue indicate a consistent performance during this time frame.

Context

These metrics help in identifying peak revenue periods and understanding the factors contributing to revenue growth. The limitations, such as the lack of growth rate data, should be considered when interpreting the success of this specific period.

Period Summary

Detailed Period-by-Period Metrics

PS

Period Summary

Detailed Performance Metrics

1
Trend Window

Detailed period-by-period performance metrics

Date Total_Revenue Order_Count AOV Period_Growth YoY_Growth
2024-11-01 $2287.28 35.000 $65.35 NA% N/A
month
trend window
trend window: month
IN

Key Insights

Period Summary

Purpose

This section provides a detailed breakdown of revenue, order count, average order value (AOV), and growth rates on a monthly basis. It helps track performance metrics over time and identify trends in sales and customer behavior.

Key Findings

  • Total Revenue: $2287.28 - Represents the total sales generated in November 2024.
  • Order Count: 35 - Indicates the number of orders processed during the same period.
  • AOV: $65.35 - The average amount spent per order in November 2024.
  • Period Growth: NA% - Growth rate comparison for the current period.
  • YoY Growth: N/A - Year-over-year growth comparison for the same period.

Interpretation

The metrics show stable revenue and order count for November 2024, with an average order value of $65.35. The lack of growth rates suggests a consistent performance without significant fluctuations or improvements compared to previous periods.

Context

These metrics provide a snapshot of the sales performance for November 2024, highlighting the revenue composition and customer spending behavior. The limitations include the absence of growth rate data, which may limit insights into performance trends over time.

IN

Key Insights

Period Summary

Purpose

This section provides a detailed breakdown of revenue, order count, average order value (AOV), and growth rates on a monthly basis. It helps track performance metrics over time and identify trends in sales and customer behavior.

Key Findings

  • Total Revenue: $2287.28 - Represents the total sales generated in November 2024.
  • Order Count: 35 - Indicates the number of orders processed during the same period.
  • AOV: $65.35 - The average amount spent per order in November 2024.
  • Period Growth: NA% - Growth rate comparison for the current period.
  • YoY Growth: N/A - Year-over-year growth comparison for the same period.

Interpretation

The metrics show stable revenue and order count for November 2024, with an average order value of $65.35. The lack of growth rates suggests a consistent performance without significant fluctuations or improvements compared to previous periods.

Context

These metrics provide a snapshot of the sales performance for November 2024, highlighting the revenue composition and customer spending behavior. The limitations include the absence of growth rate data, which may limit insights into performance trends over time.

Job ID: test_commerce__amazon__orders__revenue_trends_20251222_163910
Secret Hash: 36f2d40ab80e