← Back to Analysis Directory Sample Report: Revenue Overview

Context and Data Preparation

Analysis Overview and Data Quality

OV

Analysis Overview

WooCommerce Revenue Overview Configuration

Analysis overview and configuration

Revenue Overview
WooCommerce Store
Analyze WooCommerce store revenue performance
Module Configuration
time_grouping day
Processing ID
test_1766210797
analysis type: Revenue Overview
company: WooCommerce Store
objective: Analyze WooCommerce store revenue performance
IN

Key Insights

Analysis Overview

Purpose

This section provides insights into the key metrics and data characteristics of the WooCommerce Revenue Overview analysis, focusing on revenue performance.

Key Findings

  • Total Revenue: $2472.12 - Indicates the total revenue generated by the WooCommerce store during the analyzed period.
  • Average Order Value: $164.81 - Represents the average value of each order placed on the platform.
  • Discount Rate: 0.80% - Reflects the percentage of discounts applied to orders.
  • Top Revenue Days: Revenue peaked on 2024-11-26 at $447.37 with 2 orders, showing a pattern of high revenue days.

Interpretation

The analysis reveals a total revenue of $2472.12 with an average order value of $164.81. A discount rate of 0.80% suggests some discounting activity. The top revenue days highlight specific dates with significant sales, aiding in understanding revenue fluctuations.

Context

The analysis lacks detailed information on the training and testing data split, potentially limiting the generalizability of the findings. Additional context on the data sources and any external factors impacting revenue could provide a more comprehensive understanding.

IN

Key Insights

Analysis Overview

Purpose

This section provides insights into the key metrics and data characteristics of the WooCommerce Revenue Overview analysis, focusing on revenue performance.

Key Findings

  • Total Revenue: $2472.12 - Indicates the total revenue generated by the WooCommerce store during the analyzed period.
  • Average Order Value: $164.81 - Represents the average value of each order placed on the platform.
  • Discount Rate: 0.80% - Reflects the percentage of discounts applied to orders.
  • Top Revenue Days: Revenue peaked on 2024-11-26 at $447.37 with 2 orders, showing a pattern of high revenue days.

Interpretation

The analysis reveals a total revenue of $2472.12 with an average order value of $164.81. A discount rate of 0.80% suggests some discounting activity. The top revenue days highlight specific dates with significant sales, aiding in understanding revenue fluctuations.

Context

The analysis lacks detailed information on the training and testing data split, potentially limiting the generalizability of the findings. Additional context on the data sources and any external factors impacting revenue could provide a more comprehensive understanding.

PP

Data Preprocessing

Data Quality & Completeness

0
Final Observations

Data preprocessing and column mapping

Data Pipeline
0
Initial Records
0
Clean Records
Column Mapping
order_id
→
Order ID
order_date
→
Order Date
order_status
→
Order Status
order_total
→
Order Total
cart_discount
→
Cart Discount
order_discount
→
Order Discount
order_refund
→
Order Refund
payment_method
→
Payment Method
0 Records
MCP Analytics
0 Records
IN

Key Insights

Data Preprocessing

Purpose

This section details the data preprocessing steps, including data quality checks, retention rate, and any transformations applied before analysis.

Key Findings

  • Initial Rows: 0 - No observations in the initial dataset.
  • Final Rows: 0 - No observations retained after cleaning.
  • Rows Removed: 0 - No data removed during preprocessing.
  • Retention Rate: 100% - All data was retained after preprocessing.

Interpretation

The data preprocessing section indicates that there was no usable data in the initial dataset, resulting in no observations for analysis. The retention rate of 100% suggests that no data was lost during cleaning, but the absence of data may impact the ability to perform meaningful analysis.

Context

The lack of data in the preprocessing section may limit the depth of analysis that can be conducted, potentially affecting the insights and conclusions drawn from the overall analysis.

IN

Key Insights

Data Preprocessing

Purpose

This section details the data preprocessing steps, including data quality checks, retention rate, and any transformations applied before analysis.

Key Findings

  • Initial Rows: 0 - No observations in the initial dataset.
  • Final Rows: 0 - No observations retained after cleaning.
  • Rows Removed: 0 - No data removed during preprocessing.
  • Retention Rate: 100% - All data was retained after preprocessing.

Interpretation

The data preprocessing section indicates that there was no usable data in the initial dataset, resulting in no observations for analysis. The retention rate of 100% suggests that no data was lost during cleaning, but the absence of data may impact the ability to perform meaningful analysis.

Context

The lack of data in the preprocessing section may limit the depth of analysis that can be conducted, potentially affecting the insights and conclusions drawn from the overall analysis.

Executive Summary

Key Findings and Recommendations

TLDR

Executive Summary

Key Findings & Recommendations

2472
Total Revenue

Key Performance Indicators

Total revenue
2,472.12
Net revenue
2,472.12
Avg order value
164.81
Refund rate
0

Key Findings

Key findings

Finding Value
Total Revenue $2,472.12
Net Revenue $2,472.12
Total Orders 15
Average Order Value $164.81
Refund Rate 0.00%

Executive Summary

Bottom Line: WooCommerce store generated $2,472.12 in revenue from 15 orders.

Key Findings:
• Average Order Value: $164.81
• Daily Revenue: $309.02 average
• Net Revenue: $2,472.12 (after refunds)
• Refund Rate: 0.00%
• Order Completion: 100.0%

Recommendation: Strong performance - maintain current operations.

Executive Summary
Key Insights
Action Items
IN

Key Insights

Executive Summary

Purpose

This section provides a concise summary of the key findings and insights derived from the executive summary and key metrics of the WooCommerce revenue analysis.

Key Findings

  • Total Revenue: $2,472.12 - Indicates the total income generated by the WooCommerce store.
  • Average Order Value: $164.81 - Represents the average value of each order placed.
  • Net Revenue: $2,472.12 - The revenue remaining after accounting for refunds.
  • Refund Rate: 0.00% - Indicates no refunds were issued.
  • Order Completion: 100.0% - All orders were completed successfully.

Interpretation

The WooCommerce store has performed well, achieving the business objective of analyzing revenue performance. The average order value is decent, with no refunds impacting the net revenue, showcasing a healthy financial operation.

Context

The analysis provides a snapshot of the revenue performance but lacks detailed insights into customer behavior or market trends. Additional data on customer demographics or product performance could enhance the analysis further.

IN

Key Insights

Executive Summary

Purpose

This section provides a concise summary of the key findings and insights derived from the executive summary and key metrics of the WooCommerce revenue analysis.

Key Findings

  • Total Revenue: $2,472.12 - Indicates the total income generated by the WooCommerce store.
  • Average Order Value: $164.81 - Represents the average value of each order placed.
  • Net Revenue: $2,472.12 - The revenue remaining after accounting for refunds.
  • Refund Rate: 0.00% - Indicates no refunds were issued.
  • Order Completion: 100.0% - All orders were completed successfully.

Interpretation

The WooCommerce store has performed well, achieving the business objective of analyzing revenue performance. The average order value is decent, with no refunds impacting the net revenue, showcasing a healthy financial operation.

Context

The analysis provides a snapshot of the revenue performance but lacks detailed insights into customer behavior or market trends. Additional data on customer demographics or product performance could enhance the analysis further.

Revenue Summary

Key Revenue Metrics

RS

Revenue Summary

Key Revenue Metrics

2472
Total revenue

Overall revenue performance and key financial metrics

2472
total revenue
2492
gross revenue
2472
net revenue
165
avg order value

Financial summary table

Metric Value
Total Revenue $2472.12
Gross Revenue $2492.12
Net Revenue $2472.12
Average Order Value $164.81
Total Orders 15
Refund Rate 0.00%
Discount Rate 0.80%
Revenue
Metrics
KPIs
IN

Key Insights

Revenue Summary

Purpose

This section provides a snapshot of the revenue performance, including total revenue, gross revenue, net revenue, and average order value. Understanding these metrics is crucial for assessing the financial health and efficiency of the WooCommerce store.

Key Findings

  • Total Revenue: $2,472.12 - The total income generated from sales.
  • Gross Revenue: $2,492.12 - The total revenue before any deductions.
  • Net Revenue: $2,472.12 - The revenue after deducting refunds.
  • Average Order Value: $164.81 - The average amount spent per order.

Interpretation

The total revenue of $2,472.12 from 15 orders with an average order value of $164.81 indicates a consistent performance in generating revenue per order. The low refund rate of 0.00% suggests minimal returns, contributing to the stability of net revenue.

Context

The provided metrics offer a concise overview of the financial performance without delving into specific details like individual product performance or customer segmentation. Further analysis could explore factors influencing the average order value and strategies to optimize revenue generation.

IN

Key Insights

Revenue Summary

Purpose

This section provides a snapshot of the revenue performance, including total revenue, gross revenue, net revenue, and average order value. Understanding these metrics is crucial for assessing the financial health and efficiency of the WooCommerce store.

Key Findings

  • Total Revenue: $2,472.12 - The total income generated from sales.
  • Gross Revenue: $2,492.12 - The total revenue before any deductions.
  • Net Revenue: $2,472.12 - The revenue after deducting refunds.
  • Average Order Value: $164.81 - The average amount spent per order.

Interpretation

The total revenue of $2,472.12 from 15 orders with an average order value of $164.81 indicates a consistent performance in generating revenue per order. The low refund rate of 0.00% suggests minimal returns, contributing to the stability of net revenue.

Context

The provided metrics offer a concise overview of the financial performance without delving into specific details like individual product performance or customer segmentation. Further analysis could explore factors influencing the average order value and strategies to optimize revenue generation.

Revenue Trend

Revenue Performance Over Time

RT

Revenue Trend

Revenue Performance Over Time

8
Daily Average

Revenue performance over time

8
date range days
309.015
daily avg revenue
date range days: 8
daily avg revenue: 309
IN

Key Insights

Revenue Trend

Purpose

This section presents the revenue trend over 8 days, highlighting the daily average revenue of $309.02. It helps track the fluctuations in revenue over a specific period, providing insights into the store’s performance.

Key Findings

  • Date Range Days: 8 - Indicates the duration of the revenue trend analysis.
  • Daily Average Revenue: $309.02 - Represents the average revenue generated per day during the specified period.
  • Order Count: Ranges from 1 to 2 per day - Shows the number of orders processed daily.
  • Average Order Value: Ranges from $123.46 to $223.91 - Reflects the average value of each order placed.

Interpretation

The data reveals a consistent daily average revenue of $309.02 over the 8-day period, with order counts varying between 1 and 2 per day. The average order value fluctuates between $123.46 and $223.91, indicating variability in customer spending habits during this time frame.

Context

Understanding the revenue trend helps assess the store’s sales performance and customer behavior over a specific period. However, further analysis may be needed to identify underlying factors influencing revenue fluctuations and optimize strategies for revenue growth.

IN

Key Insights

Revenue Trend

Purpose

This section presents the revenue trend over 8 days, highlighting the daily average revenue of $309.02. It helps track the fluctuations in revenue over a specific period, providing insights into the store’s performance.

Key Findings

  • Date Range Days: 8 - Indicates the duration of the revenue trend analysis.
  • Daily Average Revenue: $309.02 - Represents the average revenue generated per day during the specified period.
  • Order Count: Ranges from 1 to 2 per day - Shows the number of orders processed daily.
  • Average Order Value: Ranges from $123.46 to $223.91 - Reflects the average value of each order placed.

Interpretation

The data reveals a consistent daily average revenue of $309.02 over the 8-day period, with order counts varying between 1 and 2 per day. The average order value fluctuates between $123.46 and $223.91, indicating variability in customer spending habits during this time frame.

Context

Understanding the revenue trend helps assess the store’s sales performance and customer behavior over a specific period. However, further analysis may be needed to identify underlying factors influencing revenue fluctuations and optimize strategies for revenue growth.

Payment Methods

Revenue by Payment Method

PM

Payment Methods

Revenue by Payment Method

15
Total Orders

Revenue breakdown by payment method

15
total orders
total orders: 15
IN

Key Insights

Payment Methods

Purpose

This section presents the revenue breakdown by payment method, highlighting the contribution of different payment methods to the total revenue and order count.

Key Findings

  • Stripe: $1676.92 - Represents 67.83% of revenue, indicating a significant contribution.
  • Paypal: $795.20 - Contributes 32.17% of revenue, showing a lower but still substantial share.
  • Pattern Observed: Stripe is the dominant payment method in terms of revenue, while Paypal also plays a significant role in generating sales.

Interpretation

The data suggests that customers prefer using Stripe over Paypal for transactions, leading to a higher revenue share for Stripe. Understanding these preferences can help optimize payment methods to potentially increase revenue further.

Context

These findings provide valuable insights into customer payment behavior, which can be crucial for strategizing marketing efforts and improving the overall revenue performance of the WooCommerce store.

IN

Key Insights

Payment Methods

Purpose

This section presents the revenue breakdown by payment method, highlighting the contribution of different payment methods to the total revenue and order count.

Key Findings

  • Stripe: $1676.92 - Represents 67.83% of revenue, indicating a significant contribution.
  • Paypal: $795.20 - Contributes 32.17% of revenue, showing a lower but still substantial share.
  • Pattern Observed: Stripe is the dominant payment method in terms of revenue, while Paypal also plays a significant role in generating sales.

Interpretation

The data suggests that customers prefer using Stripe over Paypal for transactions, leading to a higher revenue share for Stripe. Understanding these preferences can help optimize payment methods to potentially increase revenue further.

Context

These findings provide valuable insights into customer payment behavior, which can be crucial for strategizing marketing efforts and improving the overall revenue performance of the WooCommerce store.

Order Status

Order Status Distribution

OS

Order Status

Distribution of Order Statuses

100
Completion Rate

Distribution of order statuses and completion rate

100
completion rate
15
total orders
completion rate: 100
total orders: 15
IN

Key Insights

Order Status

Purpose

This section provides a breakdown of order statuses, showing a completion rate of 100% for 15 orders.

Key Findings

  • Completion Rate: 100% - All 15 orders were completed successfully.
  • Total Orders: 15 - The total number of orders analyzed.
  • Status: All orders were marked as “completed.”

Interpretation

The 100% completion rate indicates that all orders were successfully processed without any cancellations or issues. This high completion rate reflects positively on the store’s efficiency in handling orders.

Context

The completion rate being 100% aligns with the overall objective of analyzing revenue performance, indicating that all orders contributed to the total revenue figure. The section provides a clear view of the status distribution, emphasizing the successful processing of all orders.

IN

Key Insights

Order Status

Purpose

This section provides a breakdown of order statuses, showing a completion rate of 100% for 15 orders.

Key Findings

  • Completion Rate: 100% - All 15 orders were completed successfully.
  • Total Orders: 15 - The total number of orders analyzed.
  • Status: All orders were marked as “completed.”

Interpretation

The 100% completion rate indicates that all orders were successfully processed without any cancellations or issues. This high completion rate reflects positively on the store’s efficiency in handling orders.

Context

The completion rate being 100% aligns with the overall objective of analyzing revenue performance, indicating that all orders contributed to the total revenue figure. The section provides a clear view of the status distribution, emphasizing the successful processing of all orders.

Financial Impact

Discounts and Refunds Analysis

FI

Financial Impact

Discounts and Refunds Impact

20
Discount Rate

Impact of discounts and refunds on revenue

20
total discounts
0
total refunds
0.802
discount rate
total discounts: 20
total refunds: 0
discount rate: 0.802
IN

Key Insights

Financial Impact

Purpose

This section highlights the impact of discounts and refunds on revenue, providing insights into the financial adjustments made within the WooCommerce store.

Key Findings

  • Total Discounts: $20 - Represents 0.80% of the gross revenue, indicating the amount discounted from sales.
  • Total Refunds: $0 - Reflects no revenue returned to customers, showing a positive trend in customer satisfaction.
  • Discount Rate: 0.8025 - Indicates the proportion of revenue discounted from total sales.

Interpretation

The data suggests that while discounts are being offered, refunds are minimal, potentially indicating effective pricing strategies or customer satisfaction. The discount rate of 0.8025 implies that around 80.25% of the total revenue is retained after discounts.

Context

Understanding the impact of discounts and refunds is crucial for assessing revenue performance and customer behavior. However, further analysis may be needed to evaluate the effectiveness of discount strategies and their influence on overall revenue.

IN

Key Insights

Financial Impact

Purpose

This section highlights the impact of discounts and refunds on revenue, providing insights into the financial adjustments made within the WooCommerce store.

Key Findings

  • Total Discounts: $20 - Represents 0.80% of the gross revenue, indicating the amount discounted from sales.
  • Total Refunds: $0 - Reflects no revenue returned to customers, showing a positive trend in customer satisfaction.
  • Discount Rate: 0.8025 - Indicates the proportion of revenue discounted from total sales.

Interpretation

The data suggests that while discounts are being offered, refunds are minimal, potentially indicating effective pricing strategies or customer satisfaction. The discount rate of 0.8025 implies that around 80.25% of the total revenue is retained after discounts.

Context

Understanding the impact of discounts and refunds is crucial for assessing revenue performance and customer behavior. However, further analysis may be needed to evaluate the effectiveness of discount strategies and their influence on overall revenue.

Top Revenue Days

Best Performing Days

TD

Top Revenue Days

Best Performing Days

8
Top Days

Best performing days by revenue

Date Revenue Orders AOV
2024-11-26 447.370 2.000 223.680
2024-11-24 368.880 2.000 184.440
2024-11-22 344.850 2.000 172.430
2024-11-27 313.910 2.000 156.960
2024-11-25 268.400 2.000 134.200
2024-11-23 257.890 2.000 128.940
2024-11-28 246.910 2.000 123.460
2024-11-21 223.910 1.000 223.910
Top Days
Revenue
Performance
IN

Key Insights

Top Revenue Days

Purpose

This section highlights the top 10 revenue-generating days within the analysis period, providing insight into the most profitable days for the WooCommerce store.

Key Findings

  • Highest Revenue Day: 2024-11-26: $447.37 - This day had the highest revenue generated.
  • Consistent Orders: Orders were consistently at 2 for each of the top revenue days.
  • Decreasing AOV: Average Order Value (AOV) decreased from $223.68 to $123.46 across the top days.

Interpretation

The top revenue days showcase specific dates where the store experienced significant sales, indicating potential trends or factors influencing customer purchasing behavior. The consistent order count suggests stable demand, while the decreasing AOV may indicate varying product mixes or promotional strategies on these high-revenue days.

Context

Understanding the top revenue days can help the store identify successful sales strategies, optimize inventory for peak periods, and potentially replicate the success of these days in the future.

IN

Key Insights

Top Revenue Days

Purpose

This section highlights the top 10 revenue-generating days within the analysis period, providing insight into the most profitable days for the WooCommerce store.

Key Findings

  • Highest Revenue Day: 2024-11-26: $447.37 - This day had the highest revenue generated.
  • Consistent Orders: Orders were consistently at 2 for each of the top revenue days.
  • Decreasing AOV: Average Order Value (AOV) decreased from $223.68 to $123.46 across the top days.

Interpretation

The top revenue days showcase specific dates where the store experienced significant sales, indicating potential trends or factors influencing customer purchasing behavior. The consistent order count suggests stable demand, while the decreasing AOV may indicate varying product mixes or promotional strategies on these high-revenue days.

Context

Understanding the top revenue days can help the store identify successful sales strategies, optimize inventory for peak periods, and potentially replicate the success of these days in the future.

Job ID: test_commerce__woocommerce__orders__revenue_overview_20251219_220710
Secret Hash: 36f2d40ab80e