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Company focus

Rokt

What caused the sudden 30% decrease in conversion rates for Rokt's e-commerce integrations during the holiday shopping season?

Prepared by NextSprints

15 mins
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Data Analysis Problem Solving Technical Understanding E-commerce AdTech Retail E-Commerce Conversion Optimization Root Cause Analysis Performance Issues Holiday Shopping
Product Management Root Cause Analysis Question: Investigating sudden e-commerce conversion rate drop during peak season

Introduction

The sudden 30% decrease in conversion rates for Rokt's e-commerce integrations during the holiday shopping season is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for Rokt's business.

To tackle this problem, I'll follow a structured approach that covers issue identification, hypothesis generation, validation, and solution development. My goal is to uncover the underlying factors contributing to this significant drop in conversions and propose actionable steps to rectify the situation.

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 this could be related to holiday-specific changes. Can you confirm if any special holiday promotions or UI changes were implemented?

Why it matters: Holiday-specific changes could directly impact user behavior and conversion rates. Expected answer: Yes, we implemented a new holiday-themed UI and special promotions. Impact on approach: If confirmed, we'd focus on analyzing these specific changes and their impact.

  • Given the scale of the decrease, I'm wondering about technical issues. Have there been any reports of system slowdowns or outages during this period?

Why it matters: Technical problems could severely impact user experience and conversions. Expected answer: No major outages, but some intermittent slowdowns were reported. Impact on approach: This would lead us to investigate performance issues and their correlation with conversion drops.

  • Considering the e-commerce focus, I'm curious about changes in user demographics. Has there been a shift in the types of customers using Rokt's integrations during this period?

Why it matters: Different user segments may have varying conversion behaviors. Expected answer: We've seen an increase in first-time holiday shoppers. Impact on approach: We'd analyze conversion rates across different user segments to identify any specific group contributing to the decrease.

  • Given the competitive nature of e-commerce, I'm wondering about market factors. Have there been any significant changes in competitor offerings or market conditions?

Why it matters: External market factors could influence user behavior across the industry. Expected answer: A major competitor launched an aggressive discount campaign. Impact on approach: We'd need to consider how to adjust our strategy to remain competitive while maintaining profitability.

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NextSprints

Updated Jan 22, 2025