← Back to Analysis Directory Sample Report: Seasonal Trends Analysis

Context and Data Preparation

Analysis Overview and Data Quality

OV

Analysis Overview

Etsy Seasonal Trends Configuration

Analysis overview and configuration

Seasonal Trends
Handmade Creations Shop
Analyze Etsy shop seasonal sales patterns and trends
Module Configuration
trend_period monthly
include_yoy_comparison TRUE
holiday_impact_analysis TRUE
Processing ID
test_1766246788
analysis type: Seasonal Trends
company: Handmade Creations Shop
objective: Analyze Etsy shop seasonal sales patterns and trends
IN

Key Insights

Analysis Overview

Purpose

This section provides insights into the analysis setup, key metrics, and data characteristics for understanding seasonal sales patterns on Etsy.

Key Findings

  • Total Revenue: $3167.25 - Indicates the overall revenue generated during the analyzed period.
  • Average Order Value: $63.34 - Shows the average value of each order placed.
  • Best Selling Day: Friday with an average revenue of $173.04 - Highlights the most profitable day for sales.

Interpretation

The analysis reveals a consistent revenue stream with a notable peak in November, emphasizing the importance of understanding seasonal trends for maximizing sales. The average order value and best selling day insights can help tailor marketing strategies for increased profitability during peak periods.

Context

The data covers a single year, limiting the ability to assess long-term trends. Understanding the seasonal patterns can guide inventory management and promotional efforts to capitalize on peak sales periods effectively.

IN

Key Insights

Analysis Overview

Purpose

This section provides insights into the analysis setup, key metrics, and data characteristics for understanding seasonal sales patterns on Etsy.

Key Findings

  • Total Revenue: $3167.25 - Indicates the overall revenue generated during the analyzed period.
  • Average Order Value: $63.34 - Shows the average value of each order placed.
  • Best Selling Day: Friday with an average revenue of $173.04 - Highlights the most profitable day for sales.

Interpretation

The analysis reveals a consistent revenue stream with a notable peak in November, emphasizing the importance of understanding seasonal trends for maximizing sales. The average order value and best selling day insights can help tailor marketing strategies for increased profitability during peak periods.

Context

The data covers a single year, limiting the ability to assess long-term trends. Understanding the seasonal patterns can guide inventory management and promotional efforts to capitalize on peak sales periods effectively.

PP

Data Preprocessing

Data Quality & Completeness

50
Final Observations

Data preprocessing and column mapping

Data Pipeline
50
Initial Records
50
Clean Records
Column Mapping
sale_date
→
Sale Date
item_name
→
Item Name
item_total
→
Item Total
quantity
→
Quantity
order_id
→
Order ID
order_type
→
Order Type
price
→
Price
50 Records
MCP Analytics
50 Records
IN

Key Insights

Data Preprocessing

Purpose

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

Key Findings

  • Initial Rows: 50, Final Rows: 50 - No rows removed, indicating a clean dataset.
  • Retention Rate: 100% - All initial data was retained after preprocessing.

Interpretation

The data preprocessing ensured that all initial observations were preserved, maintaining the integrity of the dataset for analysis. No data loss occurred during cleaning.

Context

The high retention rate and absence of data removal suggest that the dataset was already in good quality, minimizing the risk of introducing bias or errors in subsequent analyses. This clean dataset enhances the reliability of insights derived for the business objective of analyzing seasonal sales patterns and trends on Etsy.

IN

Key Insights

Data Preprocessing

Purpose

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

Key Findings

  • Initial Rows: 50, Final Rows: 50 - No rows removed, indicating a clean dataset.
  • Retention Rate: 100% - All initial data was retained after preprocessing.

Interpretation

The data preprocessing ensured that all initial observations were preserved, maintaining the integrity of the dataset for analysis. No data loss occurred during cleaning.

Context

The high retention rate and absence of data removal suggest that the dataset was already in good quality, minimizing the risk of introducing bias or errors in subsequent analyses. This clean dataset enhances the reliability of insights derived for the business objective of analyzing seasonal sales patterns and trends on Etsy.

Executive Summary

Key Seasonal Findings and Recommendations

TLDR

Executive Summary

Key Findings & Recommendations

3167
Observations

Key Performance Indicators

Total revenue
3,167.25
Total orders
50
Date range months
1
Peak month
November
Best selling day
Friday
Q4 revenue share
100

Seasonal Summary

Key findings

Metric Value
Peak Month November (Index: 100)
Slowest Month November (Index: 100)
Best Selling Day Friday ($173 avg)
Weakest Selling Day Wednesday ($99 avg)
Holiday Season (Q4) Share 100% of revenue
Weekend Sales Share 26.5% of revenue
Months of Data 1
Years Covered 1

Executive Summary

Bottom Line: Analysis of 50 orders over 1 months generating $3,167.25 in revenue.

Seasonal Pattern: Mild seasonality - sales are relatively consistent throughout the year.

Key Findings:
• Peak Month: November (Index: 100)
• Slowest Month: November (Index: 100)
• Best Day: Friday ($173.04 avg)
• Q4 Share: 100% of revenue
• Weekend Share: 26.5% of revenue

Recommendations:
• Balanced weekly distribution - maintain consistent presence.
• Stock up on inventory before November to maximize peak season sales.
• Consider promotions during November to boost slow period sales.

Seasonal Patterns
Key Insights
Recommendations
IN

Key Insights

Executive Summary

Purpose

This section provides a concise overview of the key findings from the seasonal trends analysis, focusing on the business-critical metrics and insights.

Key Findings

  • Peak Month: November (Index: 100) - Indicates the highest sales month.
  • Slowest Month: November (Index: 100) - Surprisingly, also the slowest month for sales.
  • Best Day: Friday ($173.04 avg) - Shows the most profitable day for sales.
  • Q4 Share: 100% of revenue - Highlights the significant contribution of Q4 to total revenue.
  • Weekend Share: 26.5% of revenue - Illustrates the revenue distribution over weekends.

Interpretation

The analysis reveals a consistent sales pattern throughout the year, with November being both the peak and slowest month. Fridays stand out as the most profitable day, and Q4 plays a crucial role in revenue generation. Understanding these patterns can help optimize inventory and marketing strategies for peak seasons.

Context

The analysis is based on a single year of data, limiting the ability to capture long-term trends or seasonal variations. Additional years of data could provide more robust insights into sales patterns and trends over time.

IN

Key Insights

Executive Summary

Purpose

This section provides a concise overview of the key findings from the seasonal trends analysis, focusing on the business-critical metrics and insights.

Key Findings

  • Peak Month: November (Index: 100) - Indicates the highest sales month.
  • Slowest Month: November (Index: 100) - Surprisingly, also the slowest month for sales.
  • Best Day: Friday ($173.04 avg) - Shows the most profitable day for sales.
  • Q4 Share: 100% of revenue - Highlights the significant contribution of Q4 to total revenue.
  • Weekend Share: 26.5% of revenue - Illustrates the revenue distribution over weekends.

Interpretation

The analysis reveals a consistent sales pattern throughout the year, with November being both the peak and slowest month. Fridays stand out as the most profitable day, and Q4 plays a crucial role in revenue generation. Understanding these patterns can help optimize inventory and marketing strategies for peak seasons.

Context

The analysis is based on a single year of data, limiting the ability to capture long-term trends or seasonal variations. Additional years of data could provide more robust insights into sales patterns and trends over time.

Monthly Revenue Trends

Revenue Patterns Over Time

MT

Monthly Revenue Trend

Revenue Over Time

3167.25
Total Revenue

Monthly revenue trend over the analysis period

3167.25
total revenue
126.69
daily avg revenue
1
date range months
total revenue: 3167
daily avg revenue: 127
date range months: 1
IN

Key Insights

Monthly Revenue Trend

Purpose

This section presents the monthly revenue trend over a single month in 2024, specifically from November 4th to November 28th, with a total revenue of $3,167.25. It aims to showcase the revenue performance within this specific timeframe.

Key Findings

  • Total Revenue: $3,167.25 - Represents the overall revenue generated during the analyzed month.
  • Daily Average Revenue: $126.69 - Indicates the average revenue earned per day in November 2024.
  • Date Range Months: 1 - Shows the duration of the analysis period in months.

Interpretation

The data highlights a consistent revenue stream throughout November 2024, with an average daily revenue of $126.69. This stable performance could be indicative of a successful sales strategy or customer demand during this period.

Context

The analysis focuses on a specific month’s revenue trend, providing insights into the shop’s performance during November 2024. It offers a snapshot of sales patterns within this timeframe, contributing to the broader understanding of seasonal trends in the Etsy shop’s sales data.

IN

Key Insights

Monthly Revenue Trend

Purpose

This section presents the monthly revenue trend over a single month in 2024, specifically from November 4th to November 28th, with a total revenue of $3,167.25. It aims to showcase the revenue performance within this specific timeframe.

Key Findings

  • Total Revenue: $3,167.25 - Represents the overall revenue generated during the analyzed month.
  • Daily Average Revenue: $126.69 - Indicates the average revenue earned per day in November 2024.
  • Date Range Months: 1 - Shows the duration of the analysis period in months.

Interpretation

The data highlights a consistent revenue stream throughout November 2024, with an average daily revenue of $126.69. This stable performance could be indicative of a successful sales strategy or customer demand during this period.

Context

The analysis focuses on a specific month’s revenue trend, providing insights into the shop’s performance during November 2024. It offers a snapshot of sales patterns within this timeframe, contributing to the broader understanding of seasonal trends in the Etsy shop’s sales data.

Seasonal Index Analysis

Relative Strength of Each Month

SI

Seasonal Index

Monthly Performance vs Average

November
Peak Month Index

Seasonal index showing relative strength of each calendar month

November
peak month
100
peak month index
November
slow month
peak month: November
peak month index: 100
slow month: November
IN

Key Insights

Seasonal Index

Purpose

This section highlights that November is both the peak and slowest month in terms of performance, with an index of 100 representing average monthly performance. Understanding these seasonal trends is crucial for identifying sales patterns and optimizing strategies accordingly.

Key Findings

  • Peak Month: November (Index: 100) - Indicates the month with the highest performance compared to other months.
  • Slowest Month: November (Index: 100) - Shows the month with the lowest performance relative to other months.
  • Consistent Performance: November maintains the same level of performance throughout the month.

Interpretation

The consistent performance of November suggests that it is a critical period for sales in the Etsy shop. This information can guide inventory management, marketing efforts, and resource allocation to maximize revenue during this peak season.

Context

The data focuses solely on the seasonal index for November, limiting insights into how other months compare. Understanding the seasonal trends in November is valuable, but a broader analysis across multiple months could provide a more comprehensive view of sales patterns.

IN

Key Insights

Seasonal Index

Purpose

This section highlights that November is both the peak and slowest month in terms of performance, with an index of 100 representing average monthly performance. Understanding these seasonal trends is crucial for identifying sales patterns and optimizing strategies accordingly.

Key Findings

  • Peak Month: November (Index: 100) - Indicates the month with the highest performance compared to other months.
  • Slowest Month: November (Index: 100) - Shows the month with the lowest performance relative to other months.
  • Consistent Performance: November maintains the same level of performance throughout the month.

Interpretation

The consistent performance of November suggests that it is a critical period for sales in the Etsy shop. This information can guide inventory management, marketing efforts, and resource allocation to maximize revenue during this peak season.

Context

The data focuses solely on the seasonal index for November, limiting insights into how other months compare. Understanding the seasonal trends in November is valuable, but a broader analysis across multiple months could provide a more comprehensive view of sales patterns.

Day of Week Patterns

Sales Distribution Across Days

DOW

Day of Week Patterns

Average Revenue by Day

Friday
Best Day Revenue

Sales patterns by day of week

Friday
best selling day
173.04
best day avg revenue
Wednesday
worst selling day
best selling day: Friday
best day avg revenue: 173
worst selling day: Wednesday
IN

Key Insights

Day of Week Patterns

Purpose

This section highlights the sales performance based on the day of the week, emphasizing the best and worst selling days along with the revenue share from weekend sales. Understanding these patterns can help optimize marketing strategies and inventory management.

Key Findings

  • Best Selling Day: Friday - Achieves the highest average revenue of $173.04.
  • Worst Selling Day: Wednesday - Records the lowest average revenue of $98.59.
  • Weekend Revenue Share: Accounts for 26.5% of total revenue.

Interpretation

The data indicates that customers tend to spend more on Fridays compared to Wednesdays, which can be crucial for scheduling promotions or launching new products on high-traffic days. The significant revenue share from weekends suggests the importance of tailoring marketing efforts towards weekend shoppers.

Context

These insights provide valuable information for Handmade Creations Shop to strategize promotions and product launches effectively, aligning with the overall objective of analyzing seasonal sales patterns and trends on Etsy.

IN

Key Insights

Day of Week Patterns

Purpose

This section highlights the sales performance based on the day of the week, emphasizing the best and worst selling days along with the revenue share from weekend sales. Understanding these patterns can help optimize marketing strategies and inventory management.

Key Findings

  • Best Selling Day: Friday - Achieves the highest average revenue of $173.04.
  • Worst Selling Day: Wednesday - Records the lowest average revenue of $98.59.
  • Weekend Revenue Share: Accounts for 26.5% of total revenue.

Interpretation

The data indicates that customers tend to spend more on Fridays compared to Wednesdays, which can be crucial for scheduling promotions or launching new products on high-traffic days. The significant revenue share from weekends suggests the importance of tailoring marketing efforts towards weekend shoppers.

Context

These insights provide valuable information for Handmade Creations Shop to strategize promotions and product launches effectively, aligning with the overall objective of analyzing seasonal sales patterns and trends on Etsy.

Quarterly Performance

Quarter-by-Quarter Revenue Comparison

QC

Quarterly Comparison

Revenue by Quarter

100
Q4 Share

Quarterly revenue comparison with year-over-year growth

100
q4 revenue share
1
years covered
q4 revenue share: 100
years covered: 1
IN

Key Insights

Quarterly Comparison

Purpose

This section highlights that Q4 (holiday season) contributes 100% of total revenue, emphasizing the significance of this period in the sales cycle. With only one year of data, it indicates the potential for year-over-year (YoY) comparisons with additional historical data.

Key Findings

  • Q4 Revenue Share: 100% - Indicates that all revenue is generated in the holiday season.
  • Years Covered: 1 - Shows the limited historical data available for analysis.

Interpretation

The data underscores the critical importance of Q4 for total revenue generation. The single year covered limits the ability to assess revenue growth trends over multiple years. Additional historical data would enable more robust YoY comparisons and insights into sales performance variations.

Context

The focus on Q4 revenue share aligns with the objective of analyzing seasonal sales patterns and trends in the Etsy shop. The lack of multi-year data may restrict the depth of insights into long-term sales trends and seasonality effects.

IN

Key Insights

Quarterly Comparison

Purpose

This section highlights that Q4 (holiday season) contributes 100% of total revenue, emphasizing the significance of this period in the sales cycle. With only one year of data, it indicates the potential for year-over-year (YoY) comparisons with additional historical data.

Key Findings

  • Q4 Revenue Share: 100% - Indicates that all revenue is generated in the holiday season.
  • Years Covered: 1 - Shows the limited historical data available for analysis.

Interpretation

The data underscores the critical importance of Q4 for total revenue generation. The single year covered limits the ability to assess revenue growth trends over multiple years. Additional historical data would enable more robust YoY comparisons and insights into sales performance variations.

Context

The focus on Q4 revenue share aligns with the objective of analyzing seasonal sales patterns and trends in the Etsy shop. The lack of multi-year data may restrict the depth of insights into long-term sales trends and seasonality effects.

Seasonal Summary

Key Seasonal Metrics Overview

SS

Seasonal Summary

Key Seasonal Metrics

8
Peak Month

Key seasonal metrics summary

Metric Value
Peak Month November (Index: 100)
Slowest Month November (Index: 100)
Best Selling Day Friday ($173 avg)
Weakest Selling Day Wednesday ($99 avg)
Holiday Season (Q4) Share 100% of revenue
Weekend Sales Share 26.5% of revenue
Months of Data 1
Years Covered 1
November
peak month
November
slow month
peak month: November
slow month: November
best selling day: Friday
IN

Key Insights

Seasonal Summary

Purpose

This section provides a concise summary of key seasonal metrics, including the peak month, slowest month, best selling day, and Q4 revenue share. Understanding these patterns is crucial for planning inventory, marketing strategies, and staffing based on seasonal trends.

Key Findings

  • Peak Month: November (Index: 100) - Indicates the month with the highest sales performance.
  • Slowest Month: November (Index: 100) - Surprisingly, the same month is also the slowest in terms of sales.
  • Best Selling Day: Friday ($173 avg) - Fridays have the highest average revenue per day.
  • Q4 Revenue Share: 100% of revenue - All sales revenue is generated in the fourth quarter.

Interpretation

The data suggests a unique sales pattern where November stands out as both the best and slowest month, possibly due to concentrated seasonal shopping. Fridays are particularly lucrative, indicating potential for targeted promotions. The Q4 revenue dominance highlights the importance of holiday season planning for maximizing sales.

Context

The insights provided are based on a single month of sales data, limiting the generalizability of the findings. Understanding these patterns can guide short-term strategies but may require validation over longer periods for robust planning.

IN

Key Insights

Seasonal Summary

Purpose

This section provides a concise summary of key seasonal metrics, including the peak month, slowest month, best selling day, and Q4 revenue share. Understanding these patterns is crucial for planning inventory, marketing strategies, and staffing based on seasonal trends.

Key Findings

  • Peak Month: November (Index: 100) - Indicates the month with the highest sales performance.
  • Slowest Month: November (Index: 100) - Surprisingly, the same month is also the slowest in terms of sales.
  • Best Selling Day: Friday ($173 avg) - Fridays have the highest average revenue per day.
  • Q4 Revenue Share: 100% of revenue - All sales revenue is generated in the fourth quarter.

Interpretation

The data suggests a unique sales pattern where November stands out as both the best and slowest month, possibly due to concentrated seasonal shopping. Fridays are particularly lucrative, indicating potential for targeted promotions. The Q4 revenue dominance highlights the importance of holiday season planning for maximizing sales.

Context

The insights provided are based on a single month of sales data, limiting the generalizability of the findings. Understanding these patterns can guide short-term strategies but may require validation over longer periods for robust planning.

Holiday Season Impact

Q4 Performance Analysis

HI

Holiday Impact

Q4 Performance Analysis

100
Q4 revenue share

Holiday season (Q4) impact analysis

100
q4 revenue share
November
peak month
100
peak month index
Holiday
Q4
Seasonal
IN

Key Insights

Holiday Impact

Purpose

This section highlights the significant impact of the holiday season, particularly Q4, on the total revenue of the Etsy shop. It emphasizes the dominance of Q4, with November being the peak month in terms of sales performance.

Key Findings

  • Q4 Revenue Share: 100% - Indicates that all revenue is generated in the last quarter, showcasing a heavy reliance on holiday sales.
  • Peak Month (November): Seasonal index of 100.0 - November performs at the average level, being the strongest month for sales.

Interpretation

The data underscores the crucial role of the holiday season, especially Q4, in driving sales for the Handmade Creations Shop on Etsy. Understanding the peak month and its performance index helps in strategic planning for inventory, marketing, and promotions during this critical period.

Context

While Q4 is pivotal for revenue generation, diversifying sales throughout the year could help mitigate risks associated with seasonal fluctuations and enhance overall business sustainability.

IN

Key Insights

Holiday Impact

Purpose

This section highlights the significant impact of the holiday season, particularly Q4, on the total revenue of the Etsy shop. It emphasizes the dominance of Q4, with November being the peak month in terms of sales performance.

Key Findings

  • Q4 Revenue Share: 100% - Indicates that all revenue is generated in the last quarter, showcasing a heavy reliance on holiday sales.
  • Peak Month (November): Seasonal index of 100.0 - November performs at the average level, being the strongest month for sales.

Interpretation

The data underscores the crucial role of the holiday season, especially Q4, in driving sales for the Handmade Creations Shop on Etsy. Understanding the peak month and its performance index helps in strategic planning for inventory, marketing, and promotions during this critical period.

Context

While Q4 is pivotal for revenue generation, diversifying sales throughout the year could help mitigate risks associated with seasonal fluctuations and enhance overall business sustainability.

Peak vs Slow Period

Seasonality Strength Analysis

PKP

Peak Performance

Peak vs Slow Period Comparison

November
Peak month

Analysis of peak vs slow period performance

November
peak month
100
peak month index
November
slow month
100
slow month index
1
seasonality ratio
Peak
Slow
Ratio
IN

Key Insights

Peak Performance

Purpose

This section compares the performance between the peak month (November) and the slowest month (also November) to understand the seasonality of sales within the analyzed period.

Key Findings

  • Peak Month: November - Revenue index of 100
  • Slowest Month: November - Revenue index of 100
  • Seasonality Ratio: 1.0 - Indicates mild seasonality with consistent performance across months.

Interpretation

The identical revenue indices for both the peak and slowest months suggest that sales remain stable throughout the analyzed period. This consistency in revenue generation can help in forecasting and planning inventory levels for the Handmade Creations Shop.

Context

The data indicates a lack of significant fluctuations in revenue between months, which may suggest a steady demand for the shop’s products. Further analysis could explore factors influencing this stable sales pattern and identify opportunities for growth.

IN

Key Insights

Peak Performance

Purpose

This section compares the performance between the peak month (November) and the slowest month (also November) to understand the seasonality of sales within the analyzed period.

Key Findings

  • Peak Month: November - Revenue index of 100
  • Slowest Month: November - Revenue index of 100
  • Seasonality Ratio: 1.0 - Indicates mild seasonality with consistent performance across months.

Interpretation

The identical revenue indices for both the peak and slowest months suggest that sales remain stable throughout the analyzed period. This consistency in revenue generation can help in forecasting and planning inventory levels for the Handmade Creations Shop.

Context

The data indicates a lack of significant fluctuations in revenue between months, which may suggest a steady demand for the shop’s products. Further analysis could explore factors influencing this stable sales pattern and identify opportunities for growth.

Monthly Details

Detailed Monthly Revenue Breakdown

MD

Monthly Details

Detailed Monthly Breakdown

1
Months of Data

Detailed monthly breakdown

Month Revenue Orders Items AOV
2024-11 $3,167 50 69 $63.34
1
date range months
3167
total revenue
date range months: 1
total revenue: 3167
IN

Key Insights

Monthly Details

Purpose

This section provides a detailed breakdown of revenue, orders, items sold, and average order value for each month within the analysis period. It helps in understanding the monthly performance of the Etsy shop in terms of sales metrics.

Key Findings

  • Total Revenue: $3,167.25 - The total revenue generated in the analyzed month.
  • Orders: 50 - The number of orders placed during the month.
  • Items Sold: 69 - The total quantity of items sold in the month.
  • Average Order Value (AOV): $63.34 - The average value of each order placed.

Interpretation

The data for November 2024 shows consistent performance across metrics, indicating a stable sales pattern for that month. The average order value of $63.34 suggests customers are spending a moderate amount per order, contributing to the total revenue of $3,167.25.

Context

This section focuses on a specific month’s performance, providing a granular view of sales metrics. Understanding individual month data helps in identifying trends, seasonality, and performance variations that contribute to the overall analysis of seasonal sales patterns and trends on Etsy.

IN

Key Insights

Monthly Details

Purpose

This section provides a detailed breakdown of revenue, orders, items sold, and average order value for each month within the analysis period. It helps in understanding the monthly performance of the Etsy shop in terms of sales metrics.

Key Findings

  • Total Revenue: $3,167.25 - The total revenue generated in the analyzed month.
  • Orders: 50 - The number of orders placed during the month.
  • Items Sold: 69 - The total quantity of items sold in the month.
  • Average Order Value (AOV): $63.34 - The average value of each order placed.

Interpretation

The data for November 2024 shows consistent performance across metrics, indicating a stable sales pattern for that month. The average order value of $63.34 suggests customers are spending a moderate amount per order, contributing to the total revenue of $3,167.25.

Context

This section focuses on a specific month’s performance, providing a granular view of sales metrics. Understanding individual month data helps in identifying trends, seasonality, and performance variations that contribute to the overall analysis of seasonal sales patterns and trends on Etsy.

Job ID: test_commerce__etsy__order_items__seasonal_trends_20251220_081542
Secret Hash: 36f2d40ab80e