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Company focus

Branch

Why has Branch's deep linking functionality seen a 20% drop in click-through rates over the past month?

Prepared by NextSprints

15 mins
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Data Analysis Problem-Solving Technical Understanding Mobile Marketing App Development MarTech User Engagement Root Cause Analysis Mobile Analytics SDK Troubleshooting Deep Linking
Product Management Root Cause Analysis Question: Investigating sudden drop in deep linking click-through rates for a mobile attribution platform

Introduction

Branch's deep linking functionality has experienced a 20% drop in click-through rates over the past month, signaling a significant issue that requires immediate attention. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term strategic implications.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • Looking at the timing, I'm thinking there might be a recent product update. Has there been any significant change to the deep linking feature or related systems in the past 1-2 months?

Why it matters: Recent changes could directly impact functionality. Expected answer: Yes, there was a minor update to the SDK. Impact on approach: If yes, we'd focus on the update's impact; if no, we'd look at external factors.

  • Considering user segments, I'm curious about the distribution of the drop. Is the 20% decrease uniform across all user segments, or are certain groups more affected?

Why it matters: Helps identify if it's a global issue or specific to certain users. Expected answer: The drop is more pronounced in mobile users. Impact on approach: If segmented, we'd focus on the most affected groups; if uniform, we'd look at broader issues.

  • Thinking about the metric itself, has there been any change in how click-through rates are measured or reported in the last month?

Why it matters: Ensures we're comparing apples to apples in our data. Expected answer: No changes in measurement. Impact on approach: If changed, we'd need to adjust our analysis; if not, we can proceed with current data.

  • Considering external factors, have there been any significant changes in the competitive landscape or market conditions that might affect user behavior?

Why it matters: External factors could explain the drop without internal issues. Expected answer: No major market shifts noted. Impact on approach: If yes, we'd factor in market conditions; if no, we'd focus more on internal factors.

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Updated Jan 22, 2025