A/B Testing Platform
Ship experiments, not spreadsheets — statistical significance in hours
A/B Testing Platform lets product and growth teams define, run, and analyze experiments without engineering tickets. Feature flags, multivariate tests, and holdout groups are configurable via UI. The stats engine uses sequential testing so you can stop experiments early without inflating false-positive rates.
MRR
$14,320
+12% this month
Active
487
+23 this month
Churn
1.8%
-0.4% this month
$14K/mo
Verified revenue
73%
Choose annual
98.7%
Uptime SLA
<2min
Setup time
The Problem
Sound familiar?
Engineering bottleneck means experiments take weeks to launch instead of days
Most teams use spreadsheets for significance math and get it wrong
No holdout groups means long-term impact of changes is invisible
The Solution
A/B Testing Platform fixes this.
No-Code Experiment Builder
Define variants, traffic splits, and targeting rules from a drag-and-drop UI. Engineers instrument events once via SDK; PMs own everything after.
Sequential Statistics Engine
Uses always-valid p-values (mSPRT) so you can check results any time without peeking bias. Configurable MDE, power, and significance thresholds.
Feature Flags Integration
Every experiment is backed by a feature flag. Kill switches, gradual rollouts, and sticky bucketing are built in — not bolted on.
How It Works
Set up in under 2 minutes. No complex configuration.
No-Code Experiment Builder
Define variants, traffic splits, and targeting rules from a drag-and-drop UI. Engineers instrument events once via SDK; PMs own everything after.
Sequential Statistics Engine
Uses always-valid p-values (mSPRT) so you can check results any time without peeking bias. Configurable MDE, power, and significance thresholds.
Feature Flags Integration
Every experiment is backed by a feature flag. Kill switches, gradual rollouts, and sticky bucketing are built in — not bolted on.
Holdout Groups
Reserve a holdout segment from all experiments to measure cumulative long-term impact of your entire experiment program.
Metric Library
Connect your analytics warehouse (BigQuery, Snowflake, Redshift) or stream events via SDK. Define custom metrics with SQL or event selectors.
Why not the alternatives?
Same result. A fraction of the price.
| Product | Price | Core feature |
|---|---|---|
| A/B Testing Platform | $150/mo | Ship experiments, not spreadsheets — statistical significance in hours |
| Enterprise tool | $149/mo | Overkill for most teams |
| DIY approach | 40+ hrs dev | High maintenance burden |
Integrates with your stack
Simple, Transparent Pricing
No per-user fees. No hidden costs. Cancel anytime.
Growth
- 10 concurrent experiments
- 1M monthly exposures
- Feature flags
- Sequential stats engine
- Slack results alerts
- SDK (JS, Python, Go)
Scale
- Unlimited experiments
- 10M monthly exposures
- Holdout groups
- Warehouse integration
- Custom metrics
- SSO + audit log
Frequently Asked Questions
How long does it take to get the first experiment live?
Install the SDK (< 5 min), instrument one event, and you can launch your first experiment the same day.
Is the statistics engine trustworthy?
We use mixture Sequential Probability Ratio Test (mSPRT), which is peer-reviewed and used by Netflix and Booking.com.
Ready to get started?
Join hundreds of businesses saving time and money.
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