Why has the average order value for 1mg's over-the-counter medications declined by 15% compared to last quarter?

Introduction

The decline in average order value (AOV) for 1mg's over-the-counter (OTC) medications by 15% compared to last quarter is a significant issue that requires thorough analysis. This problem directly impacts revenue and could indicate underlying issues with product offerings, user behavior, or market dynamics. I'll approach this analysis systematically, focusing on identifying potential root causes, validating hypotheses, and developing actionable solutions.

Step 1

Clarifying Questions (3 minutes)

• Considering the timing, I'm wondering if there have been any recent changes to the product catalog or pricing strategy. Have there been any significant alterations to our OTC medication offerings or pricing in the last quarter?

Why it matters: Changes in product mix or pricing could directly impact AOV. Expected answer: Information about recent product or pricing changes. Impact on approach: If changes occurred, we'd focus on their specific effects on AOV.

• Looking at user segments, I'm curious about the distribution of this AOV decline. Is the 15% decrease consistent across all user segments, or are certain groups more affected?

Why it matters: Identifying affected segments helps pinpoint specific causes. Expected answer: Breakdown of AOV changes by user segment. Impact on approach: Uneven distribution would lead us to investigate segment-specific factors.

• Considering market dynamics, have there been any notable shifts in competitor behavior or market conditions for OTC medications?

Why it matters: External factors could be driving the AOV decline. Expected answer: Information on market trends and competitor actions. Impact on approach: Significant market changes would shift focus to competitive positioning and market strategy.

• Regarding data integrity, can we confirm that the definition and measurement of AOV have remained consistent, and there haven't been any changes in the systems tracking this metric?

Why it matters: Ensures we're comparing apples to apples and rules out data anomalies. Expected answer: Confirmation of consistent measurement methods. Impact on approach: Any changes in measurement would require us to recalibrate our analysis.