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Description
RetentionLens is designed to assist subscription-based businesses in reclaiming involuntary churn, which refers to the revenue that can be lost due to failed or declined payments.
Upon the failure of a recurring charge, RetentionLens springs into action to recover that revenue: it implements intelligent payment retries scheduled for optimal success, sends automated dunning emails encouraging customers to update their payment information, and offers an intuitive hosted update process that simplifies payment corrections. Additionally, a recovery dashboard provides insights into saved revenue, highlights at-risk charges, and identifies areas where churn is occurring. The service integrates seamlessly with your payment infrastructure, such as Stripe, ensuring that the setup process is efficient, taking only minutes rather than weeks. It's important to note that the majority of subscription cancellations are not a result of customers intentionally leaving; rather, they stem from expired cards and soft declines, making recovery efforts the quickest and most cost-effective approach to increasing net revenue.
Developed in Europe with a strong emphasis on data protection, RetentionLens is particularly well-suited for SaaS, subscription, and membership organizations looking to mitigate revenue loss without needing to expand their workforce. Furthermore, its user-friendly interface ensures that businesses can easily navigate and utilize its features for maximum benefit.
Description
VOZIQ AI is an innovative cloud-based platform that utilizes artificial intelligence to cater specifically to subscription-driven enterprises, focusing on safeguarding and enhancing recurring revenue by converting customer data into valuable insights. By employing sophisticated machine learning algorithms, it processes both structured and unstructured information, such as customer interactions, usage patterns, payment histories, and sentiment analysis, to create dynamic customer profiles and predictive scoring models. This functionality empowers organizations to pinpoint high-value and potentially at-risk customers, forecast churn rates, and uncover the underlying factors influencing customer behavior, enabling proactive strategies to be implemented. Additionally, it facilitates automated and tailored marketing campaigns across various channels, such as marketing and contact centers, aiding businesses in boosting customer retention, refining pricing strategies, and maximizing customer lifetime value through personalized offers and engagement tactics. Furthermore, VOZIQ AI provides an extensive library of pre-trained machine learning models and advanced micro-segmentation features that effectively categorize customers for more informed decision-making. This comprehensive approach ensures that subscription-based businesses can navigate the complexities of customer relationships with greater efficiency and insight.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Microsoft Edge
Stripe
Integrations
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Microsoft Edge
Stripe
Pricing Details
$59/month
Free Trial
Free Version
Pricing Details
No price information available.
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
Monrad Ruzt Technology
Founded
2025
Country
Switzerland
Website
ruzt.ai
Vendor Details
Company Name
VOZIQ AI
Founded
2012
Country
United States
Website
www.voziq.ai/
Product Features
Product Features
Customer Success
Account Alerts
Account Management
Communication Management
Customer Engagement
Customer Lifecycle Management
Health Score
Onboarding
Revenue Management
Usage Tracking / Analytics
Win / Loss Analysis
Alternatives
No Alternatives