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Copy pathCustomer_Segmentation.sql
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459 lines (365 loc) · 10 KB
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CREATE DATABASE CustomerSegmentation;
SELECT DB_NAME() AS CurrentDatabase;
CREATE TABLE Orders (
OrderID VARCHAR(50),
OrderDate DATE,
CustomerName VARCHAR(100),
State VARCHAR(100),
City VARCHAR(100)
);
CREATE TABLE OrderDetails (
OrderID VARCHAR(50),
Amount DECIMAL(12,2),
Profit DECIMAL(12,2),
Quantity INT,
Category VARCHAR(100),
SubCategory VARCHAR(100)
);
USE CustomerSegmentation;
SELECT TABLE_NAME
FROM INFORMATION_SCHEMA.TABLES
WHERE TABLE_TYPE = 'BASE TABLE';
SELECT COUNT(*) AS Orders_Rows
FROM Orders;
SELECT COUNT(*) AS OrderDetails_Rows
FROM OrderDetails;
USE CustomerSegmentation;
SELECT COUNT(*) AS TotalRows
FROM Orders_Import;
USE CustomerSegmentation;
SELECT COUNT(*) AS TotalRows
FROM dbo.Orders;
SELECT TOP 10 *
FROM dbo.Orders;
USE CustomerSegmentation;
SELECT TABLE_SCHEMA, TABLE_NAME
FROM INFORMATION_SCHEMA.TABLES
WHERE TABLE_TYPE = 'BASE TABLE';
SELECT COUNT(*) AS TotalRows
FROM dbo.Orders_SQL_Ready;
SELECT TOP 10 *
FROM dbo.Orders_SQL_Ready;
SELECT COLUMN_NAME
FROM INFORMATION_SCHEMA.COLUMNS
WHERE TABLE_NAME = 'Orders_SQL_Ready'
ORDER BY ORDINAL_POSITION;
INSERT INTO dbo.Orders
(OrderID, OrderDate, CustomerName, State, City)
SELECT
OrderID,
OrderDate,
CustomerName,
State,
City
FROM dbo.Orders_SQL_Ready;
SELECT COUNT(*) AS TotalRows
FROM dbo.Orders;
SELECT TOP 10 *
FROM dbo.Orders;
SELECT COUNT(*) AS TotalRows
FROM dbo.OrderDetails_SQL_Ready;
SELECT TOP 10 *
FROM dbo.OrderDetails_SQL_Ready;
INSERT INTO dbo.OrderDetails
(OrderID, Amount, Profit, Quantity, Category, SubCategory)
SELECT
OrderID,
Amount,
Profit,
Quantity,
Category,
SubCategory
FROM dbo.OrderDetails_SQL_Ready;
SELECT COUNT(*) AS TotalRows
FROM dbo.OrderDetails;
SELECT TOP 10 *
FROM dbo.OrderDetails;
SELECT COUNT(*) AS TotalRows
FROM dbo.OrderDetails;
SELECT TOP 10 *
FROM dbo.OrderDetails;
USE CustomerSegmentation;
DECLARE @AnalysisDate DATE;
SELECT @AnalysisDate = DATEADD(DAY, 1, MAX(OrderDate))
FROM dbo.Orders;
SELECT
o.CustomerName,
DATEDIFF(
DAY,
MAX(o.OrderDate),
@AnalysisDate
) AS Recency,
COUNT(DISTINCT o.OrderID) AS Frequency,
SUM(od.Amount) AS Monetary
FROM dbo.Orders AS o
INNER JOIN dbo.OrderDetails AS od
ON o.OrderID = od.OrderID
GROUP BY
o.CustomerName
ORDER BY
Monetary DESC;
USE CustomerSegmentation;
IF OBJECT_ID('dbo.SQL_RFM', 'U') IS NOT NULL
DROP TABLE dbo.SQL_RFM;
DECLARE @AnalysisDate DATE;
SELECT @AnalysisDate = DATEADD(DAY, 1, MAX(OrderDate))
FROM dbo.Orders;
SELECT
o.CustomerName,
DATEDIFF(
DAY,
MAX(o.OrderDate),
@AnalysisDate
) AS Recency,
COUNT(DISTINCT o.OrderID) AS Frequency,
SUM(od.Amount) AS Monetary
INTO dbo.SQL_RFM
FROM dbo.Orders AS o
INNER JOIN dbo.OrderDetails AS od
ON o.OrderID = od.OrderID
GROUP BY
o.CustomerName;
SELECT TOP 10 *
FROM dbo.SQL_RFM;
SELECT COUNT(*) AS TotalCustomers
FROM dbo.SQL_RFM;
SELECT TOP 10 *
FROM dbo.SQL_RFM
ORDER BY Monetary DESC;
SELECT COUNT(*) AS TotalCustomers
FROM dbo.SQL_RFM;
USE CustomerSegmentation;
SELECT
CustomerName,
Recency,
Frequency,
Monetary,
-- Recency: lower is better, so reverse the score
NTILE(5) OVER (ORDER BY Recency DESC) AS R_Score,
-- Frequency: higher is better
NTILE(5) OVER (ORDER BY Frequency ASC) AS F_Score,
-- Monetary: higher is better
NTILE(5) OVER (ORDER BY Monetary ASC) AS M_Score
FROM dbo.SQL_RFM;
SELECT
CustomerName,
Recency,
Frequency,
Monetary,
NTILE(5) OVER (ORDER BY Recency DESC) AS R_Score,
NTILE(5) OVER (ORDER BY Frequency ASC) AS F_Score,
NTILE(5) OVER (ORDER BY Monetary ASC) AS M_Score,
NTILE(5) OVER (ORDER BY Recency DESC)
+
NTILE(5) OVER (ORDER BY Frequency ASC)
+
NTILE(5) OVER (ORDER BY Monetary ASC) AS RFM_Score
FROM dbo.SQL_RFM
ORDER BY RFM_Score DESC;
USE CustomerSegmentation;
WITH RFM_Scored AS (
SELECT
CustomerName,
Recency,
Frequency,
Monetary,
NTILE(5) OVER (ORDER BY Recency DESC) AS R_Score,
NTILE(5) OVER (ORDER BY Frequency ASC) AS F_Score,
NTILE(5) OVER (ORDER BY Monetary ASC) AS M_Score
FROM dbo.SQL_RFM
)
SELECT
CustomerName,
Recency,
Frequency,
Monetary,
R_Score,
F_Score,
M_Score,
R_Score + F_Score + M_Score AS RFM_Score,
CASE
WHEN R_Score + F_Score + M_Score >= 13
THEN 'High-Value Customers'
WHEN R_Score + F_Score + M_Score >= 10
THEN 'Loyal Customers'
WHEN R_Score + F_Score + M_Score >= 7
THEN 'Potential Customers'
WHEN R_Score + F_Score + M_Score >= 5
THEN 'At-Risk Customers'
ELSE 'Inactive Customers'
END AS CustomerSegment
FROM RFM_Scored
ORDER BY RFM_Score DESC;
USE CustomerSegmentation;
IF OBJECT_ID('dbo.SQL_Customer_Segments', 'U') IS NOT NULL
DROP TABLE dbo.SQL_Customer_Segments;
WITH RFM_Scored AS (
SELECT
CustomerName,
Recency,
Frequency,
Monetary,
NTILE(5) OVER (ORDER BY Recency DESC) AS R_Score,
NTILE(5) OVER (ORDER BY Frequency ASC) AS F_Score,
NTILE(5) OVER (ORDER BY Monetary ASC) AS M_Score
FROM dbo.SQL_RFM
)
SELECT
CustomerName,
Recency,
Frequency,
Monetary,
R_Score,
F_Score,
M_Score,
R_Score + F_Score + M_Score AS RFM_Score,
CASE
WHEN R_Score + F_Score + M_Score >= 13
THEN 'High-Value Customers'
WHEN R_Score + F_Score + M_Score >= 10
THEN 'Loyal Customers'
WHEN R_Score + F_Score + M_Score >= 7
THEN 'Potential Customers'
WHEN R_Score + F_Score + M_Score >= 5
THEN 'At-Risk Customers'
ELSE 'Inactive Customers'
END AS CustomerSegment
INTO dbo.SQL_Customer_Segments
FROM RFM_Scored;
SELECT
CustomerSegment,
COUNT(*) AS Customers,
ROUND(AVG(CAST(Recency AS FLOAT)), 2) AS Avg_Recency,
ROUND(AVG(CAST(Frequency AS FLOAT)), 2) AS Avg_Frequency,
ROUND(AVG(Monetary), 2) AS Avg_Monetary,
ROUND(SUM(Monetary), 2) AS Total_Revenue
FROM dbo.SQL_Customer_Segments
GROUP BY CustomerSegment
ORDER BY Total_Revenue DESC;
SELECT
CustomerSegment,
COUNT(*) AS Customers,
ROUND(AVG(CAST(Recency AS FLOAT)), 2) AS Avg_Recency,
ROUND(AVG(CAST(Frequency AS FLOAT)), 2) AS Avg_Frequency,
ROUND(AVG(Monetary), 2) AS Avg_Monetary,
ROUND(SUM(Monetary), 2) AS Total_Revenue
FROM dbo.SQL_Customer_Segments
GROUP BY CustomerSegment
ORDER BY Total_Revenue DESC;
SELECT TOP 10
CustomerName,
Recency,
Frequency,
Monetary,
RFM_Score,
CustomerSegment
FROM dbo.SQL_Customer_Segments
ORDER BY RFM_Score DESC, Monetary DESC;
SELECT
CustomerName,
Recency,
Frequency,
Monetary,
RFM_Score,
CustomerSegment
FROM dbo.SQL_Customer_Segments
WHERE CustomerSegment IN ('At-Risk Customers', 'Inactive Customers')
ORDER BY Recency DESC;
SELECT *
FROM dbo.SQL_Customer_Segments;
SELECT
CustomerSegment,
COUNT(*) AS Customers,
ROUND(AVG(CAST(Recency AS FLOAT)), 2) AS Avg_Recency,
ROUND(AVG(CAST(Frequency AS FLOAT)), 2) AS Avg_Frequency,
ROUND(AVG(Monetary), 2) AS Avg_Monetary,
ROUND(SUM(Monetary), 2) AS Total_Revenue
FROM dbo.SQL_Customer_Segments
GROUP BY CustomerSegment
ORDER BY Total_Revenue DESC;
SELECT COUNT(DISTINCT CustomerName) AS UniqueCustomers
FROM dbo.Orders;
USE CustomerSegmentation;
DROP TABLE IF EXISTS dbo.SQL_RFM;
DECLARE @AnalysisDate DATE;
SELECT @AnalysisDate = DATEADD(DAY, 1, MAX(OrderDate))
FROM dbo.Orders;
SELECT
o.CustomerName,
DATEDIFF(
DAY,
MAX(o.OrderDate),
@AnalysisDate
) AS Recency,
COUNT(DISTINCT o.OrderID) AS Frequency,
SUM(od.Amount) AS Monetary
INTO dbo.SQL_RFM
FROM dbo.Orders AS o
INNER JOIN dbo.OrderDetails AS od
ON o.OrderID = od.OrderID
GROUP BY
o.CustomerName;
SELECT COUNT(*) AS TotalCustomers
FROM dbo.SQL_RFM;
DROP TABLE IF EXISTS dbo.SQL_Customer_Segments;
WITH RFM_Scored AS (
SELECT
CustomerName,
Recency,
Frequency,
Monetary,
NTILE(5) OVER (ORDER BY Recency DESC) AS R_Score,
NTILE(5) OVER (ORDER BY Frequency ASC) AS F_Score,
NTILE(5) OVER (ORDER BY Monetary ASC) AS M_Score
FROM dbo.SQL_RFM
)
SELECT
CustomerName,
Recency,
Frequency,
Monetary,
R_Score,
F_Score,
M_Score,
R_Score + F_Score + M_Score AS RFM_Score,
CASE
WHEN R_Score + F_Score + M_Score >= 13 THEN 'High-Value Customers'
WHEN R_Score + F_Score + M_Score >= 10 THEN 'Loyal Customers'
WHEN R_Score + F_Score + M_Score >= 7 THEN 'Potential Customers'
WHEN R_Score + F_Score + M_Score >= 5 THEN 'At-Risk Customers'
ELSE 'Inactive Customers'
END AS CustomerSegment
INTO dbo.SQL_Customer_Segments
FROM RFM_Scored;
SELECT COUNT(*) AS TotalCustomers
FROM dbo.SQL_Customer_Segments;
SELECT
CustomerSegment,
COUNT(*) AS Customers
FROM dbo.SQL_Customer_Segments
GROUP BY CustomerSegment
ORDER BY Customers DESC;
SELECT
CustomerSegment,
COUNT(*) AS Customers,
ROUND(AVG(CAST(Recency AS FLOAT)), 2) AS Avg_Recency,
ROUND(AVG(CAST(Frequency AS FLOAT)), 2) AS Avg_Frequency,
ROUND(AVG(Monetary), 2) AS Avg_Monetary,
ROUND(SUM(Monetary), 2) AS Total_Revenue
FROM dbo.SQL_Customer_Segments
GROUP BY CustomerSegment
ORDER BY Total_Revenue DESC;
SELECT TOP 10
CustomerName,
Recency,
Frequency,
Monetary,
RFM_Score,
CustomerSegment
FROM dbo.SQL_Customer_Segments
ORDER BY RFM_Score DESC, Monetary DESC;
SELECT *
FROM dbo.SQL_Customer_Segments;
USE CustomerSegmentation;
SELECT *
FROM dbo.SQL_Customer_Segments;