Test every part of the subscriber journey, without a release cycle.
Most subscription teams ship one or two experiments a quarter, gated by sprint planning and App Store reviews. Nami's experimentation engine lets product, growth, and monetization teams test pages, flows, pricing, and messaging across CTV, web, and mobile in hours, not sprints. The result is more learning, on the moments that actually move revenue.
- CTV
- Web
- Mobile
You don't have an A/B testing problem. You have a release-cycle problem.
For most subscription teams, experimentation looks like this: marketing has an offer to test, growth has a paywall variant in mind, monetization wants to try a new pricing layout. The roadmap meeting decides which one survives the next sprint. Engineering builds it. The variant ships in the next App Store release. Two months later, the team finally has a result, and a different idea they wish they had tested instead.
That cadence is fine for an annual roadmap. It is a disaster for revenue. The experience layer — landing pages, onboarding flows, paywalls, upgrade screens — moves faster than a sprint cycle, because subscribers don't wait and competitors don't wait. The teams that win on subscription growth run dozens of experiments in the time it takes most teams to ship one.
The other half of the problem is scope. Most experimentation tools were built for paywalls. They miss the landing pages that bring people to the paywall, the onboarding flows that frame what the paywall is selling, and the upgrade screens where subscribers expand. Optimizing the paywall while the rest of the funnel leaks is half a strategy.
Test anything. Learn faster. Ship more.
Set up an experiment in minutes, not sprints.
Inside Nami, an experiment is a property of a campaign: pick a placement, define the audience, drop in two or more variants, set the traffic split. Delivery happens through the SDK that is already integrated, so there is no app release and no engineering ticket. A growth manager can launch a paywall test in the morning and see directional results before the week is out.
Test the full subscriber journey, not just the paywall.
Variants can be different pages, different flows, different pricing layouts, or different messaging treatments. Run a landing page test that branches into two onboarding flows, each ending at a different paywall, and read the conversion rate of the entire path. The unit of test is whatever the team needs it to be.
Split traffic the way the test needs.
Configure how traffic flows across variants — even 50/50, weighted toward the control while a challenger ramps, or any custom split the team needs. Subscription-aware results show the true conversion impact at every step of the journey, so the team can read the test honestly and ship the winner with confidence.
Segment with precision.
Each campaign supports up to 10 traffic segments, with audience targeting on platform, OS, country, GeoIP, language, and CDP audience. A team can test pricing in one country without affecting another, or run a CTV-only experiment without touching the mobile app.
Read results in subscription terms.
Experiment outcomes surface in Insights, where the metrics are paywall conversion rate, trial starts, purchases, and revenue per impression. Not generic clicks and sessions. The team sees what each variant did to the funnel, not what it did to event counts in a separate analytics tool.
One experiment. Every platform subscribers use.
Most subscription experimentation tools are mobile-only, or mobile and web at best. Nami runs experiments across CTV, web, and mobile from one dashboard — iOS, Android, the web, and every major CTV surface.
The bottleneck moves from engineering to ideas.
Millions in revenue uplift across our customer base. Every experiment that ships is one more data point in a compounding system — where the bottleneck has moved from engineering capacity to the quality of ideas worth testing.
Experiments is the testing engine. The platform is the system.
Common questions about Experiments.
Do we need engineering to run experiments?
How is this different from generic A/B testing tools?
Can we run the same experiment on mobile, web, and CTV at once?
How does this work with our analytics stack?
What kinds of experiments can we run?
See what an experimentation engine built for subscription looks like.
Subscription orchestration is the practice of designing, testing, and optimizing the full subscriber journey from a single system, without code. Experimentation is what makes it operational.