Purpose

This analysis examines the geographic distribution of Shopify orders across the United States to identify revenue concentration, regional performance patterns, and city-level demand. Understanding where orders originate helps optimize fulfillment, marketing spend, and inventory allocation by high-value regions.

Key Findings

• Total Orders & Revenue: 41 orders generating $12,511.53 (average order value: $305.16) across a single country and 12 cities
• Geographic Concentration: New York, NY dominates with 8 orders ($3,020.76), while top 3 cities account for 47.5% of total revenue
• State Performance: Texas leads with 11 orders, followed by New York (8) and California (10), indicating multi-state distribution
• Data Quality: 51.2% retention after deduplication and geographic validation; 48.8% of raw records lacked complete location data

Interpretation

The order base is heavily concentrated in major metropolitan areas, with New York commanding the highest average order value ($377.60). Texas shows the highest order volume despite lower per-order values, suggesting different customer segments. The significant data loss during processing indicates incomplete geographic tagging in the source system, which may underrepresent smaller markets or rural orders.

Context

Analysis relies on billing address attribution and assumes first line-item revenue represents

Purpose

This section documents the data cleaning process applied to raw Shopify order exports before geographic analysis. The 51.2% retention rate reflects intentional deduplication and geographic filtering necessary to transform line-item-level transaction data into order-level geographic insights, which directly supports the objective of identifying top-performing regions and revenue patterns.

Key Findings

• Retention Rate (51.2%): Nearly half of initial rows were removed, primarily due to multi-row line items being deduplicated to order level and exclusion of records missing billing geography data
• Rows Removed (39 of 80): The substantial removal reflects the structured nature of e-commerce exports where single orders generate multiple rows when containing multiple line items
• Final Dataset (41 orders): Represents the clean, order-level foundation for all subsequent geographic aggregations and revenue analysis

Interpretation

The 51.2% retention rate is appropriate for this analysis type and does not indicate data quality problems. The documented removal reasons—line-item deduplication and geographic filtering—are standard preprocessing steps for order-level geographic analysis. This ensures each order is counted once with accurate billing location attribution, which is essential for reliable city, province, and country-level revenue calculations presented in downstream datasets.

Context

The analysis assumes billing address accuracy and uses the first line-item row's total for order revenue. No train/

Purpose

This executive summary assesses whether the geographic order analysis achieved its objective of identifying top-performing regions and location-based revenue patterns. The analysis examines 41 Shopify orders across 12 U.S. cities to understand market concentration, shipping patterns, and regional performance drivers that inform resource allocation decisions.

Key Findings

• Total Revenue: $12,511.53 across 41 orders with an overall average order value of $305.16—indicating consistent transaction sizing across geographies
• Geographic Concentration: Top 3 cities (New York, Los Angeles, Chicago) represent 47.5% of revenue, showing moderate market concentration rather than extreme dependency on a single location
• Market Leadership: New York, NY dominates with 8 orders and $3,021 in revenue (24.1% share), followed by Los Angeles (6 orders, $1,562) and Chicago (5 orders, $1,356)
• State-Level Distribution: Texas leads in order volume (11 orders) while New York leads in revenue, suggesting different customer value profiles by region

Interpretation

The analysis successfully identified geographic performance tiers and regional revenue distribution. The 47.5% concentration in top 3 cities indicates healthy diversification—not over-reliant on a single market—while revealing clear tier-1 performers (NY, CA,

Purpose

This section identifies which countries generate revenue for the Shopify store and quantifies their contribution. Understanding geographic revenue distribution at the country level establishes the foundation for deeper regional analysis and helps determine market concentration and international expansion opportunities.

Key Findings

• Total Countries: 1 - All orders originate from a single country, indicating a domestically-focused customer base
• United States Revenue: $12,511.53 (100% of total) - Represents the complete revenue stream across 41 orders
• Average Order Value: $305.16 - Consistent transaction size across the single market
• Market Concentration: Complete revenue concentration in one country reflects either a US-only business model or limited international shipping capability

Interpretation

The analysis reveals a fully domestic revenue profile with zero international orders. This 100% concentration in the United States indicates the store currently operates as a single-market business. The $305 average order value and 41-order volume establish a baseline for evaluating performance within US regions, which the city and province-level analyses explore in greater detail.

Context

This country-level view assumes billing address geography attribution. The single-country result limits comparative international insights but enables focused analysis of domestic regional performance across the 12 cities and 7 states represented in the dataset.

Purpose

This section identifies which cities generate the most revenue for the Shopify store, helping to understand geographic concentration of sales. By ranking cities by total revenue and order volume, it reveals whether the business has diversified demand across multiple markets or relies heavily on a few key locations—critical for inventory, marketing, and fulfillment strategy decisions.

Key Findings

• Top City: New York, NY leads with $3,020.76 in revenue and 8 orders, generating the highest average order value ($377.60) among all cities
• Top 3 Cities Concentration: New York, Los Angeles, and Chicago account for 47.5% of total revenue, indicating moderate geographic concentration
• City Distribution: 12 cities tracked across 7 states; order counts range from 1–8 per city, with mean of 3.4 orders per city
• Average Order Value Variation: Philadelphia shows highest AOV ($442.26) despite only 2 orders, while Jacksonville has lowest ($225.18)

Interpretation

The data reveals a moderately concentrated customer base with New York as the clear leader. While the top 3 cities drive nearly half of revenue, the remaining 9 cities collectively contribute 52.5%, suggesting meaningful geographic diversification. The variation in average order values across cities (ranging from $225–$442) indicates potential differences

Purpose

This section tracks how revenue is distributed across the top five states over a six-month period (May–November 2024). Understanding temporal geographic patterns reveals which regions are driving consistent demand versus seasonal or sporadic activity, helping identify stable market segments and emerging opportunities.

Key Findings

• Temporal Concentration: Revenue is heavily concentrated in October 2024, with NY generating $1,013.04 in that month alone, indicating non-uniform distribution across the observation period.
• State Volatility: Most state-month combinations show zero revenue, with high skewness (1.86) in monthly_revenue, suggesting activity clusters rather than steady-state demand.
• NY Dominance in Active Months: When NY records activity, order values are substantial ($377.60 AOV), while other states show sporadic engagement with lower frequency.

Interpretation

The data reveals that geographic revenue is not evenly distributed across time. Rather than steady monthly performance, the top five states exhibit episodic purchasing patterns, with October emerging as a peak month. This suggests either seasonal demand, campaign-driven activity, or data collection timing effects. The median monthly revenue of $0 across all state-month combinations underscores that most geographic markets are inactive in most months, concentrating activity in specific periods.

Context

This analysis assumes billing address accuracy and covers only the five highest-performing states

Purpose

This section identifies which states drive the highest revenue and average order value, revealing geographic performance disparities across the customer base. Understanding state-level performance helps pinpoint high-value markets and assess whether revenue concentration or order value patterns vary by region.

Key Findings

• Top Revenue State (NY): $3,020.76 generated from 8 orders, significantly outpacing other states and indicating strong market concentration in New York
• Highest AOV (PA): $442.26 average order value despite only 2 orders, suggesting premium customer segments in Pennsylvania
• Order Volume Leader (TX): 11 orders but lowest AOV ($268.28) among top states, indicating volume-driven rather than value-driven performance
• Overall AOV: $305.16 across all states, with PA and NY exceeding this benchmark while TX and FL fall below

Interpretation

The data reveals a revenue concentration pattern where NY dominates absolute revenue while TX leads in order frequency. This suggests two distinct customer behaviors: NY customers place fewer but higher-value orders ($377.60 AOV), while TX customers demonstrate higher purchase frequency but lower transaction values. The 64% revenue share concentrated in the top three states (NY, CA, TX) indicates geographic clustering of demand, which is typical for e-commerce but warrants monitoring for market diversification risk.

Context