Risk Assessment & Mitigation Flashcards

A paid social campaign's ROAS drops by 35% after an iOS privacy update limits ad tracking. Which long-term mitigation strategy is MOST appropriate?

Answer: Investing in first-party data collection and modeled conversions to reduce reliance on pixel-based attribution

Building first-party data infrastructure and using probabilistic modeling reduces dependency on third-party tracking that privacy updates eliminate.

A loyalty program's propensity-to-churn model shows high AUC but low precision at the decision threshold used for interventions. What operational risk does this create?

Answer: High false positive rates causing wasted retention spend on customers who would not have churned

Low precision at the operating threshold means many non-churners are flagged, wasting retention offers and reducing the program's ROI.

Which approach BEST mitigates the risk of 'HARKing' (Hypothesizing After Results are Known) in marketing experimentation programs?

Answer: Pre-registering experiment hypotheses, primary metrics, and analysis plans before data collection begins

Pre-registration locks in hypotheses and analysis plans before results are available, preventing post-hoc rationalization of exploratory findings as confirmatory.

A marketing data warehouse ingests sales data from 12 regional systems with different currency formats and fiscal year definitions. What primary risk does this create?

Answer: Data harmonization risk leading to incorrect cross-regional performance comparisons if standardization is incomplete

Inconsistent definitions of currency and fiscal periods produce non-comparable metrics across regions, making aggregated reports misleading or incorrect.

An e-commerce company's demand forecasting model consistently underestimates sales in December. Which risk assessment finding does this pattern reveal?

Answer: Seasonal pattern risk: the model lacks sufficient training examples or explicit seasonality features to capture holiday demand surges

Systematic underperformance in a specific period indicates the model fails to capture recurring seasonal patterns, requiring seasonal features or additional training data.

A CMO requests that the analytics team change the definition of 'active customer' from 90-day to 180-day purchase recency to improve the reported retention rate. What risk management concern should the analyst raise?

Answer: Metric manipulation risk: retroactively redefining KPIs to improve reported performance obscures true business health

Redefining metrics to achieve better-looking numbers rather than for analytical validity is a form of metric manipulation that undermines decision-making integrity.

Which control BEST reduces the risk of a marketing analyst accidentally publishing a report containing unsuppressed test-account or bot traffic to executive stakeholders?

Answer: Implementing automated data validation rules that flag reports if known bot or test IDs exceed a threshold before publication

Automated pre-publication validation catches contaminated data systematically, unlike manual review which is error-prone and inconsistently applied.