Why has LTK's affiliate revenue from fashion brands declined by 15% compared to the same quarter last year?

Introduction

LTK's 15% decline in affiliate revenue from fashion brands compared to the same quarter last year is a concerning trend that requires thorough investigation. To address this issue, I'll employ a systematic approach to identify, validate, and address the root cause while considering both immediate and long-term implications for the business.

Step 1

Clarifying Questions (3 minutes)

• Given the timing, I'm wondering about seasonal trends. Has there been any shift in the fashion calendar or major events that could impact shopping behavior?

Why it matters: Seasonal changes could explain the revenue drop and inform our solution strategy. Expected answer: No significant changes in the fashion calendar. Impact on approach: If confirmed, we'd focus more on internal factors or broader market shifts.

• Considering user segments, has there been any notable change in our creator demographics or audience composition?

Why it matters: Changes in our user base could directly impact affiliate revenue performance. Expected answer: Some shift in creator demographics towards younger influencers. Impact on approach: We'd need to analyze how different creator segments perform and potentially adjust our strategy.

• Regarding performance metrics, has there been any change in how we track or calculate affiliate revenue?

Why it matters: Ensures we're comparing apples to apples and not facing a data discrepancy issue. Expected answer: No changes in revenue tracking or calculation methods. Impact on approach: If confirmed, we can rule out measurement issues and focus on actual performance factors.

• Looking at recent product changes, have we implemented any significant updates to our platform or affiliate program in the past quarter?

Why it matters: Product changes could directly impact user behavior and affiliate performance. Expected answer: A new recommendation algorithm was implemented two months ago. Impact on approach: We'd need to closely examine the impact of this algorithm on user engagement and purchase behavior.