1,950 paywall variants scored today

Self-improving
AI paywalls.

Tranzmit AI builds, tests, and evolves paywalls that turn more visitors into buyers.

We use behavioral data, AI generation, simulation, and safe live rollout to find winning experiences — faster and with less risk.

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Track cholesterol, kidney & sugar markers
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Starting at ₹1,299
20,000+
Paywalls indexed
5+
Live consumer apps
9.4 min
Median winner direction
+57%
Avg uplift from control
+130%
Best customer uplift
The Problem

96% of users are not saying no to your product. They're saying no to your paywall.

Paywalls are one of the highest-leverage surfaces in your product. But most are built on opinions, not evidence. Tranzmit AI replaces guesswork with a continuous system that learns what converts.

How It Works

From signal to shipped winner.

1

Analyze

Ingest real user signals and product events in real time.

  • Behavioral signals
  • Intent & value
  • Source & device
  • User segments
2

Generate

Create multiple paywall variants across offers, layouts, and copy.

3

Score

Evaluate with simulation, VLM judges, and historical conversion data.

  • SimulationProjected uplift
  • VLM JudgesQuality & clarity
  • Conversion historyEmpirical signal
4

Ship

Safely rollout the winner with guardrails and auto-rollback.

Winner Variant B +57% uplift
Rollout 25% → 50% → 100%
Guardrails Revenue, churn, errors
Auto-rollback If guardrails breach

Works with the tools you already use

Capture events and feature usage

Understand user journeys and funnels

Deep behavioral analytics and cohorts

View all integrations
Data moat

20,000+ paywalls indexed into a conversion map.

Our corpus of real paywalls across categories and geographies is structured into a conversion map that powers generation and scoring.

  • Pricing layouts
  • Proof systems
  • CTA language
  • Component taxonomy
  • Industry clusters

The moat is not
one paywall.
It's the system
behind it.

Paywall corpus

20,000+ indexed paywalls across categories, regions, and models.

Copy intelligence

Battle-tested copy patterns that adapt to context and intent.

Live user context

Real-time signals from your product power relevance and targeting.

VLM scoring + safe rollout

AI judges + simulation predict uplift and protect your metrics.

tranzmit.app/experiments
Variant Uplift prediction Key scores
Simulation VLM Judges History
A Control
506149
B Winner
+57% 928885
C
+18% 666560
D
−12% 344133
Safe rollout
Rolling out Variant B
50% of eligible users
Guardrails: Healthy Auto-rollback: On

Variant designs

Four layouts under test
AControl
BWinner
C+18%
D−12%

Live scores

Variant B Control Variant C

Safe rollout

Live traffic routing · drag the slider to adjust exposure
Exposure50%

Results · 14-day window

Hover the chart to inspect
Uplift vs control
+57%
Extra conversions
0
Revenue impact
$0
Trusted by innovative teams

Powering growth across leading consumer apps in the US & India.

Jungle HiAstro InFluish and more →
Jungle AI Case Study

+82% conversion
in 3 weeks.

Jungle AI used Tranzmit to autonomously slot better paywalls into the right user cohorts. The rollout increased revenue by more than 80% and proved more than $20,000 of value, with zero engineering.

Jungle's original generic paywall
Original — one generic paywall for everyone.
Variant slotted for clinical students
Variant 1 — clinical-student cohort.
Variant 2 — pharmacy practice paywall
Variant 2 — +$24,000 revenue growth.

Jungle AI

Consumer AI · Live traffic
Positive uplift
+82%
paywall conversion in 3 weeks
>80%
revenue increase from the same product
>$20k
value proven during rollout
0
app updates or engineering cycles
What changed
  • Annual plan re-anchored as the default recommendation.
  • Proof strip moved beside the CTA to reduce buyer uncertainty.
  • Separate paywalls slotted for trial-day-3 and new-user cohorts.
  • Traffic shifted to the winning variants, weaker ones were fazed out

Stop guessing.
Start compounding.

Join product and growth teams who use Tranzmit AI to turn paywall experimentation into a durable growth engine.