A/B testing pits static versions against each other, while personalization adapts on the fly. Let’s see how well you can tell them apart.
Which approach tailors content in real time for each individual visitor?
A/B testing
Time-on-site sampling
Segmentation-only targeting
Personalization
Classic A/B tests split traffic evenly to estimate causal impact; personalization programs are typically ______.
time‑boxed
server‑less
always‑on
single‑page
In 2025 privacy‑first stacks rely on ______ data to power both A/B testing and personalization.
user‑agent only
third‑party cookie
first‑party behavioral
device fingerprint
Before personalizing a high‑stakes flow, teams often run a holdout A/B test to establish a solid ______.
tag manager
control baseline
edge cache
thumbnail sprite
Which metric is most commonly used to declare a winning variant before scaling personalization?
server response time
conversion‑rate lift
DOM nodes
pixel weight
Running a two‑variant email test on subject lines is an example of ______ testing.
geo‑routing
session‑based personalization
contextual bandit
A/B
Personalization without prior controlled testing risks ______.
violating TLS 1.3
increasing packet loss
serving sub‑optimal experiences
breaking CSS grids
The phenomenon where a page briefly shows the default before rendering a personalized variant is called ______.
shift
bounce
flicker
crawl budget
Which tool class typically combines experimentation data and visitor attributes to recommend next‑best actions?
log analyzer
static CMS
image CDN
Customer data platform with decisioning
According to McKinsey 2025, effective programs treat experimentation and personalization as a continuous ______ loop.
code‑compile
cache‑purge
test‑learn‑deploy
crawl‑index
Starter
You’re new to personalization vs. a/b testing. Revisit the fundamentals and try running a few simple tests to build confidence.
Solid
Solid grasp of personalization vs. a/b testing concepts—refine the details with more hands‑on practice.
Expert!
Expert level! You can design, run, and interpret advanced personalization vs. a/b testing experiments like a pro.
