Explore geofencing, panel weighting, and visit‑to‑sales calibration in offline attribution.
Retail foot‑traffic attribution links mobile location pings to ______ boundaries of stores.
cookie
pixel
geofenced
font
Google Ads store visit conversions require at least ______ verified visits before modelling expands counts.
100
10
1
1000
Panel‑based foot‑traffic data must be weighted to census benchmarks to correct for ______ bias.
cookie
sample
font
TTL
Match rate between ad‑exposed devices and store visit pings is called ______ rate.
attribution
render
LCP
cookie
Privacy regulations restrict storing raw GPS; vendors provide hex‑grids at ______ meter granularity.
1
10
100
1000
Store visit ROAS converts incremental visits into revenue using store‑level ______ value.
session
average basket
CPC
cookie
MMM includes foot‑traffic data as a KPI when online sales represent ______ share of revenue.
equal
zero
minor
major
Bluetooth beacon signals can refine foot‑traffic attribution by confirming ______ dwell time.
in‑store
parking lot
social media
weather
2025 Apple location privacy prompts reduced per‑app location opt‑in rates, increasing reliance on ______ estimation.
probabilistic
cookie
deterministic
pixel
Foot‑traffic calibration uses POS lift from matched stores vs control stores to derive ______ factor.
creative
visit‑to‑sales
discount
cookie
Starter
Review the basics.
Solid
Nice work—refine the details.
Expert!
Exceptional command of the topic.
Retail Foot-Traffic Models Interview Questions will gauge your ability to forecast store visits using data-driven techniques. Start by exploring the marketing mix modelling interview questions to build a foundation in attribution and mix analysis. Then tackle the grace period in lift tests practice questions to understand how timing affects experiment results. Next, dive into the MMM scenario planning interview guide for insights on forecasting various budget scenarios. Finally, sharpen your skills with the media quality weights practice MCQs to learn how to balance channel influence effectively.
