Marketing Analytics Tests

Marketing Experiments — Advanced

Switchbacks, Bayesian tradeoffs, HTE risk, platforms, and policy learning caution. Mixed single- and multi-select.

Marketing Experiments — Intermediate

Power, SRM, interference, CUPED, geo tests, and instrumentation QA. Mixed single- and multi-select.

Marketing Experiments — Beginner

Hypotheses, A/B basics, controls, sample size, guardrails, and holdouts. Mixed single- and multi-select.

Attribution — Advanced

Markov/Shapley ideas, causal tests, privacy APIs, governance, and budget under uncertainty. Mixed single- and multi-select.

Attribution — Intermediate

Multi-touch shapes, walled gardens, server-side, MTA vs MMM, and hygiene. Mixed single- and multi-select.

Attribution — Beginner

Last/first click, assists, UTMs, windows, and limits of cookie paths. Mixed single- and multi-select.

PPC + GA4 + SEO — Intermediate

Cross-channel measurement across paid search, organic search, GA4, consent, attribution, landing-page quality, and linked Google platforms.

GA4 — Intermediate

Event scope, cardinality controls, Measurement Protocol pitfalls, integrations with Ads, anomaly context, Exploration limits, subdomain vs cross-domain tagging nuance.

GA4 — Beginner

Event-centric model fundamentals: streams, parameters, conversions vs UA mental model, debugging basics, retention & reporting surfaces at a practitioner level.

GA4 — Advanced

Server-tagging contours, Signals / Ads data export governance, probabilistic attribution literacy, anomaly science, warehouse join integrity, CMP edge cases.