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High ROI Marketing Campaign Analysis
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Which marketing campaigns are driving the most ROI?
Stella
Thought for 33s
Marketing Campaigns Driving the Most ROI
Here are the key takeaways from the top 15 campaigns ranked by ROI:
#1 Campaign 228 — a staggering ~1,891% ROI on a lean ~$19K spend. This is your highest-efficiency campaign by a wide margin.
"Low spend, high yield" pattern — the top performers tend to have relatively modest budgets. As spend climbs toward ~$47K, ROI normalizes but remains strong.
Reactivation is the standout objective — it dominates the top spots, claiming 5 of the top 15, especially through Social and Affiliate channels. These campaigns are clearly punching above their weight.
Affiliate & Social channels lead — ForgeCart Campaign 92 (Affiliate) and Campaign 235 (Social) are strong anchors, while Display is holding its own with Campaign 69.
Recommendation: Consider reallocating budget from broad acquisition campaigns toward reactivation plays via Social and Affiliate — these are showing the highest marginal returns right now.
Note: ROI is calculated as (attributed revenue − spend) / spend × 100, using multi-touch attribution data. Attribution model mix (first/last/multi-touch) may affect individual campaign figures.
CHART
Order Count vs Return Count by Brand
Campa...
Channel
Object
Forge...
Affiliate
retention
Forge...
Influencer
reactivation
Forge...
Display
acquisition
Forge...
Affiliate
retention
Forge...
Affiliate
retention
TABLE
Campaign Wise ROI Breakdown
Related Question
Show return rate % by brand
Filter to last 30 days
Return reasons by brand
Marketing Campaign ROI Per Month
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Order Count vs Return Count by Brand
Return Count
Order Count
Brand
18k
160-163k
140k
120k
100k
80k
60k
40k
15k
12k
9,000
6,000
4,000
Sauco...
Conve...
Timbe...
Adidas
Puma
Vans
Brooks
Asics
Under...
Order Count vs Return Count by Brand
Campaign Wise ROI Breakdown
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Acme’s Stella
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Give me the top 10 products sold in the last month
Identifies the maximum order_date, then aggregates quantity and revenue for fulfilled orders within the prior month, grouping by product and sorting by units sold descending.
Change
+37
1
+
WITH
2
+
max_order_date
AS
(
3
+
SELECT
Show more
remove the fulfilled filter
Removed the o.status = 'fulfilled' condition and its trailing AND from the WHERE clause to include all orders regardless of status.
Change
+1
-2
18
-
o.status = 'fulfilled'
19
-
AND o.order_date >= (
18
+
o.order_date >= (
Show more
add the fulfilled filter
Added AND o.status = 'fulfilled' condition to the WHERE clause to filter for only fulfilled orders.
Change
+1
30
+
AND o.status = 'fulfilled'
Show more
pivot this
Returns top 10 products sold in the last month with product_id, product_name, total_units_sold, and total_revenue as row-level metrics grouped by product.
pivot the query
Pivots the top 10 products from the last month into a single row with each product's unit sales in its own column.
Change
+2
-18
1 of 4
7
-
)
8
-
SELECT
9
-
p.product_id,
Show more
product name should come as column header
Pivots the top 10 products from the last month (fulfilled status only) into a single row where each rank position becomes its own column containing that product's total units sold.
Change
+5
-1
1 of 22
12
-
SUM(oi.quantity) AS total_units_sold
12
+
SUM(oi.quantity) AS total_units_sold,
13
+
ROW_NUMBER() OVER (
Show more
it is coming as product 1 product 2
Added product_name columns before each rank to show which product each column represents, satisfying the requirement that product names appear as column identifiers in the pivot.
Change
+1
-1
1 of 20
44
-
SUM(
44
+
MAX(
give me month, product name and evenue
Groups fulfilled orders by month and product name, sums revenue per product per month, and orders by month ascending then revenue descending.
Change
+1
-48
1 of 4
1
-
WITH
8
-
max_order_date AS (
3
-
SELECT
Show more
also give the product names and the revenue
Added joins to order_items and products tables, added product_name and revenue to SELECT and GROUP BY clauses, and updated ORDER BY to sort by month ascending then revenue descending.
Change
+3
-1
1 of 4
2
-
TO_CHAR (DATE_TRUNC ('month', o.order_date), 'Mon YYYY') AS MONTH
2
+
TO_CHAR (DATE_TRUNC ('month', o.order_date), 'Mon YYYY') AS MONTH,
3
+
p.product_name,
Show more
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