Questions focus on weighting attribution by predicted customer lifetime value to align media spend with profit.
CLV‑weighted attribution multiplies credit by predicted ______ value of the converting customer.
immediate
click
lifetime
cookie
RFM models estimate value using Recency, Frequency, and ______.
Monetary
Margin
Mobile
Media
Survival analysis predicts customer lifetime by modelling probability of ______ each period.
churn
cookie drop
impression
click
2025 Google Ads conversion value rules allow applying ______ multipliers by audience.
cpc
value
font
cookie
CLV weighting can invert channel preference if some high‑volume channels acquire mostly ______ customers.
low‑value
whale
premium
loyal
Incremental CLV = predicted CLV of treated user minus predicted CLV of ______ baseline.
font
control
pixel
cookie
Churn‑heavy cohorts should receive a CLV discount factor lower than ______.
1
100
‑1
10
Analysts often cap CLV influence to avoid noisy uplift from small sample '______'.
cookies
bots
fonts
whales
Bayesian hierarchical models borrow strength across cohorts, stabilising CLV estimates where data is ______.
plentiful
corrupted
sparse
identical
CLV attribution aligns marketing with finance because lifetime profit aligns with company‑level ______ metrics.
CTR
CPC
Cookie count
NPV
Starter
Review the basics.
Solid
Nice work—refine the details.
Expert!
Exceptional command of the topic.
CLV-Weighted Attribution Interview Questions will show you how to factor customer lifetime value into credit models for smarter spend. Start by checking out these marketing mix modelling interview questions to get a solid grasp of attribution basics. Then get hands-on with timing by exploring the lift test grace period practice MCQs. Next, build your strategic chops with the MMM scenario planning interview resources to forecast outcomes. Finally, test your skills on real-world data through the retail foot traffic modelling interview guide for a complete prep.
