Ship experiments. Measure what matters.
Visual A/B builder, split-URL, multivariate, multi-armed bandit, and NBA per-visitor personalization — all driven by Bayesian stat-sig math with automatic winner promotion at 95% confidence.
Every test type lives in a different tool. Your stack is the problem.
A/B in Optimizely, MAB in a different SaaS, multivariate in a third — and none of them know about each other. Flight Deck puts every experiment type under one roof with a shared math engine, a shared audience layer, and a shared analytics backbone.
Every experiment type, one math engine.
No-code editor. CSS-selector precision.
Point-and-click to change text, styles, images, and layout. For anything trickier, paste HTML. Preview across device, traffic source, and locale before launch — the variant config is edge-cached so visitors see it in under 50ms with zero flicker.
- Point-and-click edits to text, style, image, structure
- HTML paste for complex variants
- Device + locale preview before launch
- Sub-50ms flicker-free delivery via edge cache
Full landing rewrites. Interaction effects.
Split-URL (Growth+) routes traffic between full page variants — great for landing page rewrites where the whole layout changes. Multivariate (Performance+) tests combinations of elements simultaneously so you can see interaction effects, not just main effects.
- Split-URL tests for landing page rewrites (Growth+)
- Multivariate for interaction effects (Performance+)
- Factorial + fractional factorial designs
- Sample size calculator shows you what you need
Adaptive allocation when time is money.
When waiting for stat-sig is more expensive than exploring, MAB shifts traffic to better-performing variants as evidence accrues. Great for flash-sale banners, promo headlines, and anywhere lost opportunity cost exceeds learning value.
- Adaptive traffic allocation based on live performance
- Thompson sampling — Bayesian under the hood
- Minimum-traffic floor per variant (avoid premature convergence)
- Auto-switch from MAB to A/B when the winner is clear
Per-visitor archetypes, not per-cohort tests.
Next Best Action publishing (Growth+) clusters your audience by Recency × Frequency × Monetary behavior, assigns an archetype per visitor, and serves the variant that works for that archetype. No data team required. Recomputes nightly at 3am UTC.
- RFM behavioral clustering — fully automated
- Per-archetype variant assignment, updated daily
- Graceful fallback for first-visit / anonymous traffic
- Auditable in analytics — see which archetype is winning where
Stop underpowered tests before they ship.
Bayesian credible intervals by default, sequential testing with Pocock / O'Brien-Fleming bounds when you need early-stop math, and guardrail metrics that catch harmful variants before they roll out. Power analysis baked in so you never launch an underpowered test.
- Bayesian (default) + frequentist side-by-side
- Sequential testing with early-stop bounds
- Guardrail metrics on every experiment
- Built-in sample size + time-to-completion calculator
- Auto-start, auto-stop, auto-promote at 95% CI
Under the hood.
Better together.
Ship your first variant this afternoon.
One-line SDK. Bayesian math out of the box. First winner typically in 2–4 weeks depending on traffic.