Drivers: Email Marketing (+15.4%), Simon (+39.8%), twitter (+14.1%)
  
 
Overview
Week over Week: $1.1M for 9/11 to 9/17 vs. $1.0M for 9/4 to 9/10
Profit: +1.8% to $1.1M
•  Profit's increase vs. last week is a gain of $19K
•  Email Marketing, Simon, and twitter together fully explain profit's increase
• Without the positive impact of these 3 drivers, profit would have been down -3.9% instead of up +1.8%
Profit is +$19K because:
Percent
Change
info
Independent
Impact
info
Incremental
Impact
info
1
source
Email Marketing
+15.4%+$39K+$39K
2
product_name
Simon
+39.8%+$11K+$11K
3
campaign
twitter
+14.1%+$9,243+$10K
Explains +$60K
Fully explains the $19K increase
chart
Between unit_sale_price and unit_cost, unit_sale_price had a much greater impact on profit.
Profit
- +1.8%
=
Sale Price
- +1.7%
-
Cost
- +1.6%
Why is profit up?
1. source › Email Marketing +15.4%
Email Marketing profit is up +15.4% between 9/11 to 9/17 ($289K) and 9/4 to 9/10 ($251K), resulting in an increase of +$39K.
Email Marketing profit is up +$39K because:
Percent
Change
info
Independent
Impact
info
Incremental
Impact
info
1
Metric
unit_sale_price
+14.7%+$56K+$56K
Explains +$56K
Fully explains the $39K increase
chart
Without Email Marketing's +15.4% increase, overall profit for 9/11 to 9/17 would have been down -1.9% instead of up +1.8%.
chart
Between unit_sale_price and unit_cost, unit_sale_price had a much greater impact on Email Marketing profit.
Profit
- +15.4%
=
Sale Price
- +14.7%
-
Cost
- +13.3%
2. product_name › Simon +39.8%
Simon profit is up +39.8% between 9/11 to 9/17 ($40K) and 9/4 to 9/10 ($28K), resulting in an increase of +$11K.
Simon profit is up +$11K because:
Percent
Change
info
Independent
Impact
info
Incremental
Impact
info
1
Metric
unit_sale_price
+39.4%+$17K+$17K
2
campaign
yahoo
+20.3%+$613+$613
Explains +$17K
Fully explains the $11K increase
chart
Without Simon's +39.8% increase, overall profit for 9/11 to 9/17 would have been up only +0.7% instead of +1.8%.
chart
Between unit_sale_price and unit_cost, unit_sale_price had a much greater impact on Simon profit.
Profit
- +39.8%
=
Sale Price
- +39.4%
-
Cost
- +38.7%
3. campaign › twitter +14.1%
twitter profit is up +14.1% between 9/11 to 9/17 ($75K) and 9/4 to 9/10 ($66K), resulting in an increase of +$9,243.
twitter profit is up +$9,243 because:
Percent
Change
info
Independent
Impact
info
Incremental
Impact
info
1
Metric
unit_sale_price
+10.2%+$10K+$11K
2
product_name
Risk
+36.6%+$1,183+$513
3
product_category
Board Game
+12.1%+$2,401+$576
Explains +$12K
Fully explains the $9,243 increase
chart
Without twitter's +14.1% increase, overall profit for 9/11 to 9/17 would have been up only +0.9% instead of +1.8%.
chart
Between unit_sale_price and unit_cost, unit_sale_price had a much greater impact on twitter profit.
Profit
- +14.1%
=
Sale Price
- +10.2%
-
Cost
- +2.9%
What else is driving profit?
Underperformers
ColumnDriverAbs. ChangePct. ChangeOverall Impact
campaigngoogle plus-$15K-20.1%-1.5%
sourceOrganic Search-$13K-5.1%-1.3%
product_nameAtari 2600-$12K-29.7%-1.2%
product_nameNintendo-$12K-31.8%-1.2%
product_categoryBoard Game-$12K-3.4%-1.1%
sourceSocial Media-$10K-3.8%-1%
campaignfacebook ads-$10K-15.1%-1%
product_nameMouse Trap-$10K-25.4%-1%
campaignbing-$7,954-8.6%-0.8%
campaignlinkedin-$6,824-10%-0.7%
product_nameMemory-$6,146-17.5%-0.6%
campaignyahoo-$5,925-7.1%-0.6%
Overperformers
ColumnDriverAbs. ChangePct. ChangeOverall Impact
sourceEmail Marketing+$39K+15.4%+3.7%
Metricunit_sale_price+$27K+1.7%+2.6%
product_categoryElectronic Game+$23K+7%+2.2%
campaignindustry_news_in_context+$22K+25.6%+2.1%
campaignweekly_newsletter+$13K+15.6%+1.2%
product_nameSimon+$11K+39.8%+1.1%
campaignbing ads+$11K+14.8%+1%
product_nameRock 'Em Sock 'Em Robots+$10K+32.7%+1%
campaignoutbrain+$9,694+17.1%+0.9%
campaigntwitter+$9,243+14.1%+0.9%
Metricunit_cost+$8,362+1.6%-0.8%
product_nameSorry!+$8,223+28.1%+0.8%
Where is this data from?
This analysis compares total profit between 9/11 to 9/17 and 9/4 to 9/10.
The following dimensions are included in analysis of potential drivers of profit:
•  product_name (e.g. "Atari 2600")
•  product_category (e.g. "Board Game")
•  source (e.g. "Email Marketing")
• campaign (e.g. "announcement_blast")
The data was retrieved using a SQL query on Thu. September 18, 2025 at 3:35am EST.
 
 
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