Plan multivariate tests by defining variables and levels. Calculate total combinations, required traffic, and test duration estimates.
Multivariate Test Planner maps an experiment before launch: define each page or campaign variable, list its candidate levels, and see how many distinct combinations the full test contains. It then uses the planning values you enter to estimate the traffic requirement and likely test duration. The common surprise is combinatorial growth. Levels are multiplied across variables, so three variables with 2, 3, and 4 levels produce 24 combinations, not 9. Every added combination divides the available test traffic more finely and can extend the proposed experiment.
A concrete input and expected output from the current implementation.
Input
Headline: Control, Benefit-led CTA: Start free, See pricing, Contact sales
Expected output
Total combinations: 6
The first variable has two levels and the second has three, so the full crossing is 2 x 3 = 6. Required traffic and duration depend on the separate planning assumptions entered for those estimates.
Each named item is a variable, and each candidate value is one level. The planner treats the design as a full set of cross-variable combinations: every headline level is paired with every image level, button level, and so on. It obtains the total by multiplying the level counts, not adding them. A control must be listed as a level if it should appear in the design.
After the combination count is known, the traffic and duration sections turn the planner's entered assumptions into operational estimates for the complete multivariate design. They do not, by themselves, prove that each combination has enough observations to detect an effect. If the inputs do not capture baseline performance, the smallest effect of interest, variability, or allocation, validate the traffic target with a separate power analysis.
A multivariate design crosses levels rather than testing each variable in isolation. Two headline levels and three CTA levels make six cells; adding two image levels doubles that to twelve. Removing one level can therefore eliminate several combinations at once. Check that every proposed level is genuinely needed before accepting the resulting traffic demand.
No. It is a planning estimate tied to the traffic value and test structure you entered. Testing can take longer when only part of site traffic is eligible, allocation is uneven, traffic varies by day, or quality checks remove observations. Use the estimate to compare designs, then monitor actual eligible exposure after the multivariate test starts.
The example and behavioral notes were checked against the browser implementation. Standards and primary references below define the relevant format, formula, or platform behavior.
Shorten URLs with local redirect tracking via localStorage. See click counts and generate a QR code for each link.
Build UTM-tagged URLs for campaign tracking with source, medium, campaign, term, and content parameters.
Enter 2+ headlines and see simulated previews in Google results, email subject lines, and social posts side-by-side.
Count characters for Twitter/X, LinkedIn, Facebook, and Instagram with platform-specific limits and warnings.
Calculate click-through rates from impressions and clicks with industry benchmarks and trend analysis.
Check email subject line length against best practices for desktop and mobile with preview text optimization.