Orthogonal arrays aren’t just for manufacturing anymore. See how the Taguchi method streamlines marketing tests.
The Taguchi method reduces required test variants by using ______ arrays.
sequential
hierarchical
orthogonal
adjacency
In a Taguchi L9 (3^4) matrix, how many factors and levels are represented?
3 factors, 4 levels each
9 factors, 2 levels each
4 factors, 2 levels each
4 factors, 3 levels each
Taguchi analysis focuses on maximising the ______‑to‑noise ratio.
alpha
variance
signal
lift
A major benefit of Taguchi designs in digital marketing is ______.
detecting seasonality automatically
requiring far fewer visitors than full‑factorial tests
eliminating random error
removing the need for control groups
After estimating main effects via Taguchi, practitioners often run a ______ test to confirm the predicted best combo.
regression
chi‑square
time series
follow‑up A/B
Taguchi designs assume that interaction effects between factors are ______.
measured separately first
negligible or captured implicitly
impossible
always dominant
When mapping web page elements into a Taguchi matrix, each column corresponds to a factor and each row to a ______.
segmentation rule
CSS class
KPI
variant shown to users
Calculating average performance for each level of a factor lets you identify its ______.
error term
covariance
main effect
prior
Taguchi’s approach originated in which industry before being adapted to marketing experimentation?
finance
manufacturing quality engineering
telecommunications
agriculture
Compared with traditional multivariate testing, Taguchi designs trade detailed interaction data for ______.
speed and traffic efficiency
real‑time personalisation
higher computational cost
greater model complexity
Starter
Starter—review how Taguchi saves traffic.
Solid
Solid—use orthogonal arrays with confidence.
Expert!
Expert—you can design and validate Taguchi tests effortlessly.