RunPivot vs Statsig
Choose RunPivot if you are a marketing or growth-led team that needs fast, no-code website experiments with AI-generated variants. Choose Statsig under Amplitude if your program is engineering-owned and you are committed to their analytics suite long term.
At a glance
| Feature | RunPivot | Statsig |
|---|---|---|
| AI-generated variants | ✓ Native | Limited |
| On-brand AI (uses your design system) | ✓ | N/A |
| Visual editor | ✓ AI canvas | Partial |
| Self-serve sign-up | ✓ Permanent free tier | Engineering-led setup |
| Pricing model | Transparent, on the page | Event-based, enterprise |
| Product independence | ✓ Independent roadmap | Amplitude integration path |
| Built for marketers | ✓ From day one | Engineering-first |
What Statsig does well
Statsig earned a strong reputation with product and data teams for rigorous experimentation and feature flags. Under Amplitude, existing customers retain access while Amplitude builds a combined analytics and experimentation roadmap. Large engineering organizations with existing data pipelines may stay if the suite direction fits.
Where RunPivot wins
AI does the variant work, not your designers
The bottleneck in most A/B testing programs isn't ideas or tools: it's execution. Designers get pulled onto roadmap work, devs deprioritise experiment tickets, and tests die waiting for developers. RunPivot generates on-brand variants from a prompt. Your team writes the hypothesis, RunPivot ships the variant.
On-brand by default
RunPivot uses your brand system to generate variants that actually look like your site. No more A/B tests that look like they were made in a different decade. This is the difference between A/B testing real ideas and A/B testing whatever your visual editor will let you drag.
Your renewal is not tied to an acquirer's roadmap
OpenAI acquired Statsig in 2025. Amplitude took over external customers in May 2026. If you need a focused experimentation platform with pricing on the page, RunPivot lets you start free and keep tests running without navigating two overlapping product roadmaps.
Built for teams who got tired of waiting
RunPivot was founded because the existing experimentation tools were built for a pre-AI world. We started from a different question: what would A/B testing look like if AI generated the variants, the brand stayed consistent, and the dev team never became the blocker?
When Statsig (under Amplitude) is the better choice
- Your experimentation program is owned by a central data science team with warehouse-native requirements
- You already run Amplitude analytics and want experimentation inside that suite long term
- You need feature flags and product analytics bundled with A/B testing at engineering scale
- You are comfortable with event-based pricing and enterprise contract negotiations
When RunPivot is the better choice
- Your test ideas die waiting for design or dev capacity
- You want experiments that look like they belong on your site, not bolted on
- You're a marketing or growth team that doesn't want to negotiate procurement to start A/B testing
- You want to ship 5x more experiments per quarter without hiring
- You believe AI-native tools will outperform legacy tools retrofitted with AI features
Common questions about switching
Last updated: July 2026. Statsig transition details are based on public announcements from OpenAI and Amplitude. RunPivot is not affiliated with Statsig or Amplitude. See also /compare/statsig-alternatives.