Audience

Mobile app publishers and developers interested in a solution to increase subscription revenue

About Nami ML

Nami ML is a no-code platform designed to enhance subscription revenue for mobile app publishers. It offers tools for creating and managing subscription plan selection pages without requiring code changes, enabling rapid deployment and updates. The platform supports A/B testing, allowing businesses to experiment with various designs and pricing strategies to optimize conversions. Nami ML integrates with mobile apps, major TV platforms like Roku, and websites, providing a unified solution for subscription management across multiple channels. Its features include a no-code paywall builder, subscription analytics, and precision segmentation to deliver personalized purchasing experiences. Boost your subscription business with the power of micro-interactions. Learn how to improve user experience, increase conversions, and reduce churn through thoughtful design. Launch tests without deploying new code. Nami usually pays for itself after the first few tests.

Pricing

Starting Price:
$99 per month

Integrations

API:
Yes, Nami ML offers API access

Ratings/Reviews

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Company Information

Nami ML
Founded: 2018
United States
www.namiml.com

Videos and Screen Captures

Nami ML Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Live Online
Support
Online

Nami ML Frequently Asked Questions

Q: What kinds of users and organization types does Nami ML work with?
Q: What languages does Nami ML support in their product?
Q: What other applications or services does Nami ML integrate with?
Q: Does Nami ML have an API?
Q: What type of training does Nami ML provide?
Q: How much does Nami ML cost?

Nami ML Product Features

Subscription Management

Cancellation Management
Dunning Management
Product Catalog
Revenue Recognition
Self Service Portal
Tax Management
Usage Tracking/Analytics
Discount / Coupon Management
Enrollment Management
Recurring Billing
Revenue Recovery Tools
Subscription Plan Management
Trial Management

Nami ML Additional Categories