Diagnosing a 5% Week-over-Week Revenue Drop at an Early-Stage Online Store

Quick Overview

A product analytics case in which a young online store sees revenue fall 5% from one week to the next and a co-founder must find the likely cause. It tests checking whether the drop is real, splitting revenue into traffic, conversion and order value, and ranking internal and external hypotheses.

Diagnosing a 5% Week-over-Week Revenue Drop at an Early-Stage Online Store

Company: Leap Finance

Role: Product Manager

Category: Analytics & Experimentation

Difficulty: medium

Interview Round: Other

You are a co-founder of a young e-commerce business that has only recently started selling. Revenue for the latest week came in 5% below the week before. What do you think is behind the decline? Explain how you would narrow down the cause, which explanations you would check first, and what evidence would confirm or rule out each one. ```hint Signal before story Before searching for a reason, ask whether a 5% weekly move is unusual for a store this new, and which of the quantities that multiply together to make revenue actually changed. ``` ### Clarifying Questions - Is this a single weak week or the latest in a run of declines? How much does weekly revenue normally swing, and was the business growing week over week before this? - How is revenue counted: at order time, or net of cancellations, refunds and returns? Has that definition, or the cut-off for the reporting week, changed recently? - What does the store sell, and where do its visitors come from (paid ads, search, social media, email, marketplaces)? Does any single channel, product or customer account for a large share of sales? - Did we change anything last week, such as a site release, prices, shipping fees, a promotion or ad spend? ### What a Strong Answer Covers - Judging whether the 5% drop stands out from normal week-to-week noise for a young, low-volume store, and from the growth it was expected to show. - Decomposing revenue into traffic, conversion and average order value, and separating new from returning buyers, to find which factor moved. - Ruling out reporting, tracking, checkout and payment failures before product or market explanations. - Internal and external hypotheses (promotions, pricing, stock-outs, marketing channels, competitors, seasonality) ordered by likelihood and cost to check, each tied to the data that would test it. - A proportionate next step: how much founder time the drop deserves and what to watch the following week. ### Follow-up Questions - Visits held steady, but the share of visitors who completed a purchase fell. Where do you look next? - You learn that a large discount campaign ended the week before. How would you tell whether the decline is just the promotion fading or a real loss of demand? - The store has so few orders that weekly revenue is noisy. How would you decide whether a 5% change calls for action at all?

Overview: A product analytics case in which a young online store sees revenue fall 5% from one week to the next and a co-founder must find the likely cause. It tests checking whether the drop is real, splitting revenue into traffic, conversion and order value, and ranking internal and external hypotheses.

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Leap Finance
Mar 9, 2026
mediumProduct ManagerOtherAnalytics & Experimentation
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You are a co-founder of a young e-commerce business that has only recently started selling. Revenue for the latest week came in 5% below the week before. What do you think is behind the decline? Explain how you would narrow down the cause, which explanations you would check first, and what evidence would confirm or rule out each one.

Clarifying Questions Guidance

  • Is this a single weak week or the latest in a run of declines? How much does weekly revenue normally swing, and was the business growing week over week before this?
  • How is revenue counted: at order time, or net of cancellations, refunds and returns? Has that definition, or the cut-off for the reporting week, changed recently?
  • What does the store sell, and where do its visitors come from (paid ads, search, social media, email, marketplaces)? Does any single channel, product or customer account for a large share of sales?
  • Did we change anything last week, such as a site release, prices, shipping fees, a promotion or ad spend?

What a Strong Answer Covers Guidance

  • Judging whether the 5% drop stands out from normal week-to-week noise for a young, low-volume store, and from the growth it was expected to show.
  • Decomposing revenue into traffic, conversion and average order value, and separating new from returning buyers, to find which factor moved.
  • Ruling out reporting, tracking, checkout and payment failures before product or market explanations.
  • Internal and external hypotheses (promotions, pricing, stock-outs, marketing channels, competitors, seasonality) ordered by likelihood and cost to check, each tied to the data that would test it.
  • A proportionate next step: how much founder time the drop deserves and what to watch the following week.

Follow-up Questions Guidance

  • Visits held steady, but the share of visitors who completed a purchase fell. Where do you look next?
  • You learn that a large discount campaign ended the week before. How would you tell whether the decline is just the promotion fading or a real loss of demand?
  • The store has so few orders that weekly revenue is noisy. How would you decide whether a 5% change calls for action at all?