A home-improvement retailer is running a seasonal promotion on bagged mulch.
Business context
-
Regular price:
$3.50 per bag
-
Promo price:
$2.00 per bag
-
Variable cost:
$2.40 per bag
-
Therefore, the promoted item currently has
negative item-level contribution margin
.
-
The company has
6 weeks left
in the spring selling season.
Over the last 4 weeks:
-
Weekly mulch unit sales increased from
10,000
to
26,000
bags.
-
Management believes the promo may also drive larger baskets and more store traffic.
-
However, some of the observed lift may be due to
seasonality, weather, competitor pricing, stock-up behavior, or cannibalization
of other landscaping products.
You have access to:
-
store-day sales,
-
transaction baskets,
-
loyalty/customer identifiers for some shoppers,
-
ad spend,
-
inventory and stockout data,
-
competitor price checks,
-
store region and weather data.
Questions
-
Should the retailer continue the mulch promotion for the rest of the season?
-
What metrics would you use to make the decision, and why is item-level margin alone insufficient?
-
How would you estimate the
incremental
impact of the promotion rather than relying on raw observed sales lift?
-
If leadership still decides to continue the promotion despite negative item-level margin, what business reasons could justify that decision?
Be explicit about causal inference issues, segmentation, tradeoffs between revenue and profit, and how you would present a persuasive recommendation to a business leader.