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Applovin Marketing Analytics Specialist Interview Questions

The questions to prepare for a Applovin Marketing Analytics Specialist interview. Questions from real interview reports rank first. Updated weekly.

30questions
~4htotal time
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1
SQL & Data ManipulationStart here. 7 questions + 3 drills · ~86 min
Handling Missing and Dirty SQL DataMedium

Explain how to profile, clean, and standardize missing or dirty data before analysis.

Data WranglingCase WhenQualityAApplovin
SQL Data Cleaning Preparation ApproachEasy

Explain how to clean and prepare messy marketing data in SQL using validation, null handling, and basic data wrangling.

Data WranglingETLAApplovin
Calculate 30-Day User RetentionHard
Practice
Practice drill

Use CTEs, joins, and date filtering to calculate 30-day retention by signup cohort from login and feature usage data.

Window FunctionsDate FunctionsAggregationsCurefitReachMobiIndeed
Monthly Retention Cohort AnalysisHard
Practice
Practice drill

Build monthly signup cohorts with CTEs and joins to calculate month 0-2 retention for a self-serve product.

Data Analysisuser retentionCohort AnalysisRed VenturesBILLOpenAI
SQL Funnel Drop-Off AnalysisHard
Practice
Practice drill

Measure sequential Airbnb Homes funnel engagement and drop-off using CTEs, joins, aggregation, and LAG.

sql queryData Analysisuser engagementAirbnb
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2
Strategy5 questions · ~40 min
Marketing Budget Allocation StrategyEasy

Approach for allocating a constrained marketing budget across channels and objectives using ROI, trade-offs, and prioritization.

EstimationGrowth StrategyMarket SizingAApplovin
Market Trends for Creative VideosMedium

Assesses your ability to connect market and creative trends to marketing analytics and strategy.

Market TrendsAApplovin
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3
Metrics4 questions · ~32 min
Calculating Marketing MetricsMedium

Evaluates your ability to compute and interpret common marketing metrics.

calculationsAApplovin
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4
Behavioral & Leadership10 questions · ~80 min
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5
More topics4 questions · ~32 min
A/B Test for Email CampaignMedium

Design and analyze an A/B test for a new email campaign, including metrics, power, guardrails, and common experiment risks.

email campaignAnalysisA/B TestingAApplovin
Re-Engaging Inactive UsersMedium

Assesses your product and lifecycle thinking for reactivation campaigns.

user engagementAApplovin
Significance Testing for A/B TestsMedium

Tests statistical rigor and correct interpretation of A/B test significance.

AApplovin
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The finish line: interview-readyComplete all 30 questions plus 3 hands-on drills to finish this plan.