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Updated weekly · Last refresh Aug 30

Homebase Marketing Analytics Specialist Interview Questions

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

11questions
~1htotal time
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1
MetricsStart here. 3 questions · ~24 min
Measure Marketing Campaign SuccessEasy

Define campaign success using business KPIs, funnel conversion, acquisition cost, and leading indicators tied to outcomes.

Funnel AnalysisKPIsLeading IndicatorsHomebase
Customer Lifetime Value MetricsMedium

Tests understanding of LTV measurement and the metrics needed to evaluate retention and revenue impact.

Data Analysiscustomer lifetime valueHomebase
Using Data to Drive DecisionsHard

Evaluates how you use data to drive decisions and iterate toward better outcomes.

data-driven decisionsHomebase
2
Behavioral & Leadership3 questions · ~24 min
More Behavioral & Leadership questions with a free account
3
More topics5 questions · ~40 min
A/B Testing and SignificanceMedium

Tests experimental design rigor, statistical reasoning, and practical use of A/B testing frameworks.

Data AnalysisStatistical SignificanceA/B TestingHomebase
Churn Driver AnalysisHard

Tests ability to perform churn driver analysis and translate findings into actionable insights.

Data AnalysisHomebase
Brand vs Performance BalanceMedium

Tests strategic thinking about marketing mix tradeoffs and how you align brand and performance objectives.

Homebase
Feature Launch Experiment DesignHard

Tests ability to design a robust experiment and select metrics that reflect both immediate and downstream impact.

success metricsA/B TestingHomebase
Marketing Analytics Strategy with GAMedium

Evaluates your ability to translate Google Analytics insights into actionable marketing strategy.

Homebase

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Top Users by Recent Transaction VolumeMedium
Practice
Practice drill

Find the top 3 users by completed transaction volume in the last 30 days using joins and aggregation.

Data Analysisquery optimizationsqlTTier 1 BankRevolutChime
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
Flag Suspicious Driver Signup ClustersHard
Practice
Practice drill

Use CTEs, joins, aggregations, and CASE logic to flag Lyft driver accounts with suspicious early activity patterns.

fraud detectionData AnalysisRisk ManagementLyft
The finish line: interview-readyComplete all 11 questions plus 3 hands-on drills to finish this plan.