Evaluate Instagram Shopping Tab Success with Key Metrics
Overview
This question evaluates a data scientist's expertise in product analytics, experiment and metric design, business-impact sizing, and monitoring for a social-commerce shopping feature, and is categorized under Analytics & Experimentation for a Data Scientist role.
Meta
Aug 4, 2025, 10:55 AM
Data Scientist
Onsite
Analytics & Experimentation
0
0
Instagram Shopping Tab: Post-Launch Evaluation and Sizing
Context
You are evaluating the success of a new Instagram Shopping Tab after launch. The goal is to measure whether it drives incremental commerce value while maintaining a healthy user and merchant experience and not harming core engagement or ads revenue.
Questions
-
Primary and Secondary Metrics
- What primary success metrics and guardrail/secondary metrics would you track to determine the Shopping Tab’s success?
-
Pre-Launch Sizing
- How would you estimate the expected impact before launch (e.g., using TAM × adoption × ARPU assumptions)?
-
Monitoring & Dashboards
- Describe or sketch the dashboards/plots you would build to monitor these metrics over time and during ramp/experiments.
Hints
- Think funnel conversion, GMV, click-through, retention.
- Size via TAM × adoption × ARPU; incorporate cannibalization and ramp scenarios.
Solution
Login required
Show