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Experiment OS vs Liftmap
Both are purpose-built for CRO programme management. Liftmap emphasises integrations and visual collaboration. We focus on Bayesian rigour, revenue modelling depth, and getting running in minutes. Here’s an honest comparison.
Where Liftmap shines
Liftmap has a strong integrations story and visual, board-style collaboration. If your team lives in that workflow and you need tight connections to specific testing or analytics platforms, they’re a solid choice. They’re built for CRO programmes, not generic project management.
Where Experiment OS differs
We emphasise statistical rigour and revenue reporting. Bayesian analysis with stopping rules and uncertainty is built in; we don’t leave it to another tool. Revenue modelling includes conservative adjustments (novelty decay, statistical exaggeration) so you can report to finance without hand-waving. We also offer transparent, self-serve pricing and setup in minutes.
| Feature | Liftmap | Experiment OS |
|---|---|---|
| Bayesian statistical analysis, stopping rules | Varies | |
| Revenue modelling (novelty decay, conservative) | Limited | |
| Integrations with testing platforms | ||
| Visual collaboration, boards | Focused | |
| Iteration chains (lineage, follow-ups) | ||
| Transparent pricing, self-serve | Contact | |
| Setup time | Varies | Minutes |
Choose what fits
If Bayesian analysis, finance-ready revenue modelling, and transparent pricing matter most, Experiment OS is a strong fit. If you need Liftmap’s specific integrations or visual workflow, that’s a good reason to choose them. Both are purpose-built; the difference is where we put the emphasis.