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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Kometrics offers an interactive subscription analytics experience that allows users to connect with platforms like Stripe, Paddle, Asaas, or Creem to obtain precise metrics such as MRR, ARR, churn, LTV, ARPA, and cohorts, all displayed with a comprehensive period-by-period table beneath the visualizations instead of relying on mere estimates. Users can inquire with Kometrics AI about fluctuations in metrics, receiving responses directly informed by their financial records rather than generic averages, complete with links to the relevant reports that generated the figures. Additionally, the platform provides these analytical tools through your own assistant via MCP, simplifying forecasting, revenue tracking, risk assessment, and goal management. The service is complimentary for users with up to $1,000 in MRR, after which a subscription fee of $19 per month applies. Overall, Kometrics revolutionizes how businesses engage with their subscription data, making financial insights more accessible and actionable.

Description

Nami ML is a user-friendly platform that facilitates the improvement of subscription revenue for mobile app developers without the need for coding skills. It provides an array of tools to create and oversee subscription plan selection pages, allowing for quick implementation and modifications. With the capability to conduct A/B testing, businesses can test different designs and pricing models to enhance conversion rates effectively. The platform seamlessly integrates with mobile applications, prominent TV platforms such as Roku, and websites, offering a comprehensive solution for managing subscriptions across diverse channels. Among its features are a no-code paywall creator, detailed subscription analytics, and targeted segmentation to enhance personalized purchasing experiences. By leveraging the impact of micro-interactions, businesses can elevate their subscription services. Discover effective strategies to enhance user engagement, boost conversion rates, and minimize churn through careful design. Furthermore, you can initiate tests without the necessity of deploying new code, and most users find that Nami typically pays for itself after conducting just a few tests. This makes it a valuable tool for optimizing subscription performance quickly and efficiently.

API Access

Has API

API Access

Has API

Screenshots View All

No images available

Screenshots View All

Integrations

ASAAS
Adobe Acrobat
Amplitude
Android
Android TV
App Store
AppLovin
Creem
Fire OS
Google Analytics
Google Sheets
Microsoft Excel
Paddle
Roku OS
Segment
Stripe
Telemetry BI
Zendesk
ironSource
mParticle

Integrations

ASAAS
Adobe Acrobat
Amplitude
Android
Android TV
App Store
AppLovin
Creem
Fire OS
Google Analytics
Google Sheets
Microsoft Excel
Paddle
Roku OS
Segment
Stripe
Telemetry BI
Zendesk
ironSource
mParticle

Pricing Details

$19/mo, free to $1,000 MRR
Free Trial
Free Version

Pricing Details

$99 per month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Kometrics

Website

kometrics.com

Vendor Details

Company Name

Nami ML

Founded

2018

Country

United States

Website

www.namiml.com

Product Features

Product Features

Subscription Management

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

Alternatives

No Alternatives

Alternatives

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