Measure impact of ads-manager automation feature

Q: Measure impact of ads-manager automation feature

This question evaluates competency in causal impact measurement, experimental design, metric selection, monitoring instrumentation, and bias identification within the analytics & experimentation domain.

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Question

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Context

An Ads Manager product has new automation features (e.g., auto-bidding, auto-budgeting, auto-creative suggestions). You need to measure the feature’s impact and design monitoring.

Task

How would you measure the feature’s causal impact on:
- advertiser outcomes (e.g., conversions, CPA/ROAS)
- platform outcomes (revenue, spend, retention of advertisers)
- operational outcomes (time saved, support tickets)
What dashboard would you build to monitor the feature after launch?
- specify key charts/tables, breakdowns, and alerting thresholds
Call out major biases (e.g., adoption bias) and how you address them.

Measure impact of ads-manager automation feature

Context

Task

Solution

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Measure impact of ads-manager automation feature

Overview

Context

Task

Solution

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