Update Challenge 6 -Marketing Analysis.md

Author: SQLicious

Challenge 6 -Marketing Analysis.md

@@ -17,44 +17,194 @@ Here are the tables I created and used in MySQL Workbench 8.0:
 ```
 ## Ad-Hoc Questions and Solutions
 ### 1. How many transactions were completed during each marketing campaign?
-```
+```sql
+SELECT  mc.campaign_name,
+       COUNT(t.transaction_id) as transaction_count
+FROM 
+    marketing_campaigns mc
+JOIN 
+    transactions2 t ON mc.product_id = t.product_id
+GROUP BY 
+    mc.campaign_name;
 ```
 
 ### 2. Which product had the highest sales quantity?
 
 ```sql
+SELECT 
+    sc.product_name,
+    SUM(t.quantity) as total_quantity_sold
+FROM 
+    sustainable_clothing sc
+JOIN 
+    transactions2 t ON sc.product_id = t.product_id
+GROUP BY 
+    sc.product_name
+ORDER BY 
+    total_quantity_sold DESC
+LIMIT 1;
 ```
 ### 3. What is the total revenue generated from each marketing campaign?
 
 ```sql
+SELECT 
+    mc.campaign_name,
+    ROUND(SUM(t.quantity * sc.price),2) as total_revenue
+FROM 
+    marketing_campaigns mc
+JOIN 
+    transactions2 t ON mc.product_id = t.product_id
+JOIN 
+    sustainable_clothing sc ON mc.product_id = sc.product_id
+GROUP BY 
+    mc.campaign_name;
 ```
 ### 4. What is the top-selling product category based on the total revenue generated?
 ```sql
+SELECT 
+    sc.category,
+    ROUND(SUM(t.quantity * sc.price),2) as total_revenue
+FROM 
+    sustainable_clothing sc
+JOIN 
+    transactions2 t ON sc.product_id = t.product_id
+GROUP BY 
+    sc.category
+ORDER BY 
+    total_revenue DESC
+LIMIT 1;
 ```
 ### 5. Which products had a higher quantity sold compared to the average quantity sold?
 
 ```sql
+SELECT 
+    sc.product_name,
+    SUM(t.quantity) as total_quantity_sold
+FROM 
+    sustainable_clothing sc
+JOIN 
+    transactions2 t ON sc.product_id = t.product_id
+GROUP BY 
+    sc.product_name
+HAVING 
+    total_quantity_sold > (SELECT AVG(quantity) FROM transactions2)
+ORDER BY total_quantity_sold DESC;    
+
 ```
 ### 6. What is the average revenue generated per day during the marketing campaigns?
 
 ```sql
+SELECT 
+    mc.campaign_name,
+    ROUND(AVG(t.quantity * sc.price),2) as average_daily_revenue
+FROM 
+    marketing_campaigns mc
+JOIN 
+    transactions2 t ON mc.product_id = t.product_id
+JOIN 
+    sustainable_clothing sc ON mc.product_id = sc.product_id
+GROUP BY 
+    mc.campaign_name
+ORDER BY 
+    mc.campaign_name;
 ```
 ### 7. What is the percentage contribution of each product to the total revenue?
 
 ```sql
+WITH product_revenue AS (
+    SELECT 
+        sc.product_name,
+        ROUND(SUM(t.quantity * sc.price),2) as total_revenue
+    FROM 
+        sustainable_clothing sc
+    JOIN 
+        transactions2 t ON sc.product_id = t.product_id
+    GROUP BY 
+        sc.product_name
+)
+SELECT 
+    product_name,
+    total_revenue,
+    ROUND((total_revenue / (SELECT SUM(total_revenue) FROM product_revenue)) * 100,2) as percentage_contribution
+FROM 
+    product_revenue
+ORDER BY 
+    total_revenue DESC;
 ```
 ### 8. Compare the average quantity sold during marketing campaigns to outside marketing campaigns.
 
 ```sql
+WITH campaign_quantity AS (
+    SELECT mc.campaign_name,
+           AVG(t.quantity) as average_quantity_sold
+    FROM 
+           marketing_campaigns mc
+    JOIN 
+           transactions2 t ON mc.product_id = t.product_id
+    GROUP BY 
+           mc.campaign_name
+),
+outside_campaign_quantity AS (
+    SELECT 'Outside Campaigns' as campaign_name,
+        AVG(t.quantity) as average_quantity_sold
+    FROM 
+        transactions2 t
+    WHERE 
+        t.product_id NOT IN (SELECT product_id FROM marketing_campaigns)
+)
+SELECT * FROM campaign_quantity
+UNION ALL
+SELECT * FROM outside_campaign_quantity;
 ```
 
 ### 9. Compare the revenue generated by products inside the marketing campaigns to those outside the campaigns.
 
 ```sql
+WITH campaign_revenue AS (
+    SELECT 
+        mc.campaign_name,
+        ROUND(SUM(t.quantity * sc.price),2) as total_revenue
+    FROM 
+        marketing_campaigns mc
+    JOIN 
+        transactions2 t ON mc.product_id = t.product_id
+    JOIN 
+        sustainable_clothing sc ON mc.product_id = sc.product_id
+    GROUP BY 
+        mc.campaign_name
+),
+outside_campaign_revenue AS (
+    SELECT 
+        'Outside Campaigns' as campaign_name,
+        ROUND(SUM(t.quantity * sc.price),2) as total_revenue
+    FROM 
+        transactions2 t
+    JOIN 
+        sustainable_clothing sc ON t.product_id = sc.product_id
+    WHERE 
+        t.product_id NOT IN (SELECT product_id FROM marketing_campaigns)
+)
+SELECT * FROM campaign_revenue
+UNION ALL
+SELECT * FROM outside_campaign_revenue;
 ```
 ### 10. Rank the products by their average daily quantity sold.
 
 ```sql
+WITH product_avg_quantity AS (
+    SELECT 
+        sc.product_name,
+        ROUND(AVG(t.quantity),2) as average_daily_quantity_sold
+    FROM 
+        transactions2 t
+    JOIN 
+        sustainable_clothing sc ON t.product_id = sc.product_id
+    GROUP BY 
+        sc.product_name
+)
+SELECT * 
+FROM product_avg_quantity
+ORDER BY average_daily_quantity_sold DESC;
 ```