Should the mulch promotion continue?

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Quick Overview

This question evaluates data-analytic competencies including causal inference, experimentation, segmentation, and retail promotion economics within the Analytics & Experimentation domain, emphasizing understanding of incremental impact and trade-offs between revenue and profit.

Should the mulch promotion continue?

Company: Home Depot

Role: Data Analyst

Category: Analytics & Experimentation

Difficulty: medium

Interview Round: Onsite

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 1. Should the retailer continue the mulch promotion for the rest of the season? 2. What metrics would you use to make the decision, and why is item-level margin alone insufficient? 3. How would you estimate the **incremental** impact of the promotion rather than relying on raw observed sales lift? 4. 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.

Overview: This question evaluates data-analytic competencies including causal inference, experimentation, segmentation, and retail promotion economics within the Analytics & Experimentation domain, emphasizing understanding of incremental impact and trade-offs between revenue and profit.

Read the full Home Depot Data Analyst interview experience this question came from

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Home Depot
Dec 15, 2025
mediumData AnalystOnsiteAnalytics & Experimentation
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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

  1. Should the retailer continue the mulch promotion for the rest of the season?
  2. What metrics would you use to make the decision, and why is item-level margin alone insufficient?
  3. How would you estimate the incremental impact of the promotion rather than relying on raw observed sales lift?
  4. 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.

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