FILTERS:
PERIOD:
📦
Total Orders
1,200
Jan 2023 – Jun 2025
💰
Total Revenue
$1.26M
Gross sales
👤
Unique Customers
1,189
Distinct IDs
🛒
Avg Order Value
$1,054
Mean: $1,054 | Median: $824
📊
Total Units Sold
3,535
Avg 2.95/order
REVENUE BY PRODUCT Bar Chart
ORDER STATUS SPLIT Donut
PAYMENT METHOD Bar
REFERRAL SOURCE Bar
ORDERS PER PRODUCT Bar
Mean (Revenue)
$1,054
Pulled up by high orders
Median (Revenue)
$824
Robust center — use this!
Skewness
+0.89
Right-skewed distribution
Std Deviation
$820
High spread in order values
TOTAL PRICE DISTRIBUTION (Histogram) Right-Skewed ↗
QUANTITY SOLD DISTRIBUTION Near Uniform
MEAN vs MEDIAN — CENTER OF GRAVITY Outlier Effect
UNIT PRICE DISTRIBUTION Per Order
DISTRIBUTION DIAGNOSIS
Distribution ShapeRight-Skewed
Normal Distribution?No
Skewness Score+0.89
Q1 (25th pct)$411
Median (50th pct)$824
Q3 (75th pct)$1,578
Min Order Value$11.39
Max Order Value$3,456
InterpretationUse Median
IQR Lower Bound
-$1,341
No low-end outliers detected
IQR Upper Bound
$3,330
Q3 + 1.5×IQR threshold
Outliers Found
8
0.67% of all orders
Outlier Type
SIGNAL
High-value, qty=5 VIP orders
BOXPLOT — TOTAL PRICE 8 Outliers →
OUTLIER ORDER VALUES Above $3,330
OUTLIER ORDER TABLE IQR Method Flagged
Order ID Customer Product Quantity Total Price Status Verdict
🔴 NOISE (Error) — What to Remove

Outliers that are data entry mistakes, typos, or format corruptions. In this dataset, 0 orders fall below the lower bound ($-1,341), meaning no suspiciously low values exist. All outliers are on the upper end.

🟢 SIGNAL (Insight) — What to Investigate

All 8 outliers are orders with Quantity = 5 and high unit prices (>$650). These are VIP bulk purchases. Action: Target these customers with loyalty programs — they represent disproportionate revenue value.

MONTHLY REVENUE TREND (Jan 2023 – Jun 2025) 30 Months
MONTHLY ORDER COUNT TREND Volume
PRODUCT REVENUE COMPARISON Horizontal Bar
SEASONAL PATTERN ANALYSIS
Peak Month (Revenue)Jun 2024
Peak Revenue$68,069
Best Orders MonthJun 2024 (53)
Lowest MonthApr 2023
Lowest Revenue$27,752
Avg Monthly Rev$42,159
2023 Total Rev$552,243
2024 Total Rev$540,236
2025 Partial$231,883
Trend DirectionFlat/Volatile
Q2 PatternSpike ↑
Q4 PatternModerate
CORRELATION HEATMAP Pearson r
QUANTITY vs TOTAL PRICE (Scatter) r = 0.615
UNIT PRICE vs TOTAL PRICE (Scatter) r = 0.717
CORRELATION COEFFICIENTS Interpretation
Quantity ↔ TotalPrice+0.615 (Strong)
UnitPrice ↔ TotalPrice+0.717 (Strong)
Quantity ↔ ItemsInCart+0.650 (Moderate)
UnitPrice ↔ Quantity+0.015 (None)
ItemsInCart ↔ TotalPrice+0.393 (Moderate)
UnitPrice ↔ ItemsInCart≈0.001 (None)
⚠️ GOLDEN RULE: Correlation ≠ Causation

UnitPrice and TotalPrice have the strongest correlation (r=0.717), which is mathematically expected since TotalPrice = Quantity × UnitPrice. Quantity also strongly predicts TotalPrice (r=0.615). However, UnitPrice and Quantity are nearly uncorrelated (r=0.015) — customers buying more units are NOT necessarily buying cheaper products. A hidden variable like product category or buyer segment likely explains bulk purchase behavior. Always investigate before drawing causal conclusions.

EXECUTIVE SUMMARY ARCHITECTURE

① Problem Statement
Analyze 1,200 e-commerce transactions (Jan 2023–Jun 2025) to identify revenue drivers, behavioral patterns, and growth opportunities.
② Methodology
IPO Framework: Raw Excel data → Descriptive stats, IQR outlier detection, Pearson correlation, time-series trend analysis → Actionable insights.
③ Key Findings
Revenue is right-skewed (median $824 vs mean $1,054). Jun is peak month. Instagram is top acquisition channel. 8 high-value bulk orders flagged.
④ Recommendations
Target bulk buyers with VIP program. Scale Instagram campaigns. Reduce cancellations (20.8%). Investigate Apr/Sep revenue dips.
📈 MAJOR TRENDS DISCOVERED

Revenue peaked in Jun 2024 ($68,069) with a consistent Q2 spike pattern across all years. Monthly revenue fluctuates between ~$28K–$68K with no clear growth trend — the business is volatile but stable. Chair and Printer tie for highest revenue at ~$195K each.

🛍️ CUSTOMER BEHAVIOR PATTERNS

Average items in cart is 5.5, suggesting browsing behavior before purchase. Quantity per order clusters at 1–2 units for 41% of orders. Instagram drives 21.6% of all orders — the highest of any channel. Nearly all customers are unique (1,189 of 1,200), indicating low repeat purchase rate.

📦 PRODUCT PERFORMANCE

All 7 products perform within ±10% of each other in revenue — no single product dominates. Phone has the highest average unit price ($375) while Desk is lowest ($330). Printer leads in order count (181), making it a high-volume, competitive SKU.

⚠️ RISKS DETECTED

20.8% cancellation rate (250 orders) and 20.6% return rate (247 orders) together mean ~41% of orders never generate net revenue. This is a critical operational risk. Combined with right-skewed revenue distribution, standard average-based metrics overstate performance for most customers.

REVENUE BY STATUS (Risk View) 41% At-Risk
GROWTH OPPORTUNITIES
🎯 VIP Program for bulk buyers+15% rev potential
📱 Scale Instagram channelTop ROI source
🔄 Reduce cancellation rateRecover $262K
📧 Email retargeting (repeat buyers)Low base rate fix
💳 Push Online & Credit CardHighest avg value
📊 Use Median for pricing strategyMean misleads 46%