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Company focus

LiveRamp

Why has LiveRamp's Identity Resolution service seen a 15% drop in match rates over the past month?

Prepared by NextSprints

15 mins
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Data Analysis Problem Solving Technical Understanding AdTech MarTech Data Management Data Analytics Root Cause Analysis Algorithm Optimization AdTech Identity Resolution
Product Management Root Cause Analysis Question: Investigating LiveRamp's Identity Resolution service match rate decline

Introduction

LiveRamp's Identity Resolution service has experienced a 15% drop in match rates over the past month, signaling a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.

To tackle this problem, I'll employ a structured approach that covers issue identification, hypothesis generation, validation, and solution development. My goal is to not only resolve the current match rate decline but also to strengthen the overall robustness of LiveRamp's Identity Resolution service.

Framework overview

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

Step 1

Clarifying Questions (3 minutes)

  • Given the sudden drop, I'm wondering about recent changes. Have there been any significant updates to the Identity Resolution algorithm or data sources in the last 1-2 months?

Why it matters: Recent changes could directly impact match rates. Expected answer: Yes, there was a minor algorithm update. Impact on approach: If confirmed, I'd focus on the algorithm change as a primary hypothesis.

  • Considering user segments, has the drop been uniform across all customer types, or are certain segments more affected?

Why it matters: Helps identify if the issue is global or segment-specific. Expected answer: Enterprise customers are more affected than SMBs. Impact on approach: I'd investigate enterprise-specific factors if this is the case.

  • Looking at data quality, have there been any changes in the incoming data from partners or customers?

Why it matters: Data quality directly affects match rates. Expected answer: No significant changes reported. Impact on approach: If true, I'd shift focus to internal processes and algorithms.

  • Thinking about external factors, have there been any major privacy regulations or industry changes in the past month?

Why it matters: External factors could force changes affecting match rates. Expected answer: New privacy law in a key market was implemented. Impact on approach: I'd examine how the new regulation impacts data availability and matching processes.

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Updated Jan 22, 2025