Make your revenue surfacesimprove themselves.

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

Behavioral data, simulation beds, and safe live rollout find winning screens 50× faster—with less risk.

Jungle HiAstro TATA 1mg Zeo Influish
scroll to see the system learn
20,000+
Paywalls indexed
5M+
Monthly paywall views
50x
Faster than manual A/B
+57%
Avg. uplift in paid conversion
+80%
Avg. uplift in CTA clicks
The Problem

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

The only solution, manual A/B tests, is broken.

~$2,500
per experiment
engineering, design, analytics
2–6 weeks
to trust one result
one variable at a time
No learning
between tests
every test starts from zero
Rising costs
more users = more tests
it never gets cheaper
How It Works

Get more install rates, conversions, and revenue with a self-improving loop that runs 24/7.

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
Live data flows back
Winners get sharper, cohorts get nuanced

Improves every hour. Compounds every week.

Experiments conducted
3–4
200+
Human team
Per month
Tranzmit AI
Per week
CVR lift over baseline
80% 40% 0% Week 1 Week 2 Week 3 Human +9% Tranzmit AI +82%
Always on01
Working 24/7
while your team sleeps
Testing velocity02
50x
faster and safer testing
Measured lift03
+82%
CVR lift over baseline on the top paywall

Works with the tools you already use

Capture events and feature usage

Understand user journeys and funnels

Deep behavioral analytics and cohorts

And many more

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

Every revenue surface
gets smarter together.

01

Paywalls

iOS Android

Make the paid moment fit the user.

Generate and rank paywalls by audience, behavior, offer, price, proof, and layout—then send the strongest candidates to live traffic.

Personalized paywalls, tested safely
02

Store pages

App Store Google Play

Match intent before the install.

Turn each campaign into a tailored App Store or Google Play page, so every user sees the right value proposition before they download.

Intent-matched acquisition pages
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
Influish Case Study

+49% subscription
conversion.

Influish's original static-list paywall
Original — one feature list for everyone.
Variant slotted for DM-automation creators
Variant 1 — DM automation, 2x CTA clicks.
Variant 2 — growth-focused paywall
Variant 2 — growth, 1.5x topline revenue.

Influish

CREATOR GROWTH · 3M+ MAU
Positive uplift
+49%
subscription conversion
2x
CTA clicks on the winning variant
1.5x
topline revenue
0
app updates or engineering cycles
What changed
  • Static feature list replaced with benefit-led paywalls.
  • DM-automation variant slotted for engagement-focused creators.
  • Growth variant leads with follower proof and creator testimonials.
  • Traffic shifted to the winning variants, weaker ones fazed out
Jungle AI Case Study

+82% conversion
in 3 weeks.

Original — one generic paywall for everyone.
Variant 1 — clinical-student cohort.
Variant 2 — +$24,000 revenue growth.

Jungle AI

EDTECH · 500K+ MAU
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 fazed out

HiAstro Case Study

25% uplift in paywall click-through rates.

Measured across more than 400,000 users within two weeks of going live.

HiAstro one-rupee trial paywall showing the subscription timeline and renewal reminder
Trial timeline paywall
HiAstro marriage-window paywall showing personalized timing and the one-rupee offer
Personalized marriage-window paywall

HiAstro

ASTROLOGY · 400K+ USERS
25% uplift
25% uplift in paywall click-through rates
400K+ users included in the live rollout
2 weeks to prove uplift after going live

Stop guessing.
Start compounding.

Join product and growth teams who use Tranzmit AI to turn paywall experimentation into a 24/7 growth engine.