Documentation Index
Fetch the complete documentation index at: https://arkticstudio.mintlify.app/llms.txt
Use this file to discover all available pages before exploring further.
Experiment-level allocation
The traffic allocation slider (5%–100%) controls what percentage of all visitors are included in the experiment. Visitors outside this allocation see the default experience and are not tracked. Example: With 50% traffic allocation and two 50/50 variants:- 50% of visitors are excluded (default experience)
- 25% of visitors see the control
- 25% of visitors see the variant
Variant weights
Each variant has a traffic weight (%). Weights across all variants must sum to exactly 100. The bucketing is cumulative — for weights of 50/50:- Visitors with bucket 0–49 → Control
- Visitors with bucket 50–99 → Variant B
- Visitors with bucket 0–32 → Control
- Visitors with bucket 33–65 → Variant B
- Visitors with bucket 66–99 → Variant C
Bucketing is deterministic
The same visitor always gets the same variant. Bucketing is based on:- Refreshing the page doesn’t re-randomise
- Clearing the
spt_asgncookie and revisiting will re-assign (useful for testing) - Two different experiments use independent hashes, so a visitor can be in both simultaneously
Running multiple experiments
Multiple experiments can run simultaneously. Each uses an independent hash so assignments don’t interfere. Be aware that:- Theme tests conflict with each other (only one
preview_theme_idcan be active) - Interaction effects — if two experiments modify the same element, results will be confounded
- Each experiment samples from 100% of visitors independently, so a visitor can be in both