ChurnShift AI Features
The only Churn Analysis platform that turns churn predictions into explainable and actionable retention plans
The only Churn Analysis platform that turns churn predictions into explainable and actionable retention plans
The only Churn Analysis platform that turns churn predictions into explainable and actionable retention plans
The only Churn Analysis platform that turns churn predictions into explainable and actionable retention plans
FOR CUSTOMER SUCCESS MANAGERS
FOR CUSTOMER SUCCESS MANAGERS
FOR CSMs
ChurnShift Dashboard
ChurnShift Dashboard
ChurnShift Dashboard
ChurnShift Dashboard
The ChurnShift Dashboard provides a comprehensive view of customer health, featuring key metrics such as current and projected churn rates, and the accuracy of AI prediction models tailored to customer data. It includes timeline analysis widgets that forecast overall customer retention and churn over the next year, highlighting when churn is most likely to occur. A dedicated retention plan section offers actionable strategies for high-risk groups (e.g., electronic check users), allowing teams to review and activate targeted engagement campaigns. Additionally, the dashboard delivers AI-driven explanations behind each retention plan to support informed decisions by Customer Success Managers and executives.
The ChurnShift Dashboard provides a comprehensive view of customer health, featuring key metrics such as current and projected churn rates, and the accuracy of AI prediction models tailored to customer data. It includes timeline analysis widgets that forecast overall customer retention and churn over the next year, highlighting when churn is most likely to occur. A dedicated retention plan section offers actionable strategies for high-risk groups (e.g., electronic check users), allowing teams to review and activate targeted engagement campaigns. Additionally, the dashboard delivers AI-driven explanations behind each retention plan to support informed decisions by Customer Success Managers and executives.
The ChurnShift Dashboard provides a comprehensive view of customer health, featuring key metrics such as current and projected churn rates, and the accuracy of AI prediction models tailored to customer data. It includes timeline analysis widgets that forecast overall customer retention and churn over the next year, highlighting when churn is most likely to occur. A dedicated retention plan section offers actionable strategies for high-risk groups (e.g., electronic check users), allowing teams to review and activate targeted engagement campaigns. Additionally, the dashboard delivers AI-driven explanations behind each retention plan to support informed decisions by Customer Success Managers and executives.
The ChurnShift Dashboard provides a comprehensive view of customer health, featuring key metrics such as current and projected churn rates, and the accuracy of AI prediction models tailored to customer data. It includes timeline analysis widgets that forecast overall customer retention and churn over the next year, highlighting when churn is most likely to occur. A dedicated retention plan section offers actionable strategies for high-risk groups (e.g., electronic check users), allowing teams to review and activate targeted engagement campaigns. Additionally, the dashboard delivers AI-driven explanations behind each retention plan to support informed decisions by Customer Success Managers and executives.
Customer Health Overview
Customer Health Overview
Customer Health Overview
Customer Health Overview
Churn Timeline Analysis Widgets
Churn Timeline Analysis Widgets
Churn Timeline Analysis Widgets
Churn Timeline Analysis Widgets
Retention Plan Widget
Retention Plan Widget
Retention Plan Widget
Retention Plan Widget
FOR CSMs and EXECUTIVES
FOR CSMs and EXECUTIVES
FOR CSMs and EXECUTIVES
ChurnShift AI Assistant
ChurnShift AI Assistant
ChurnShift AI Assistant
ChurnShift AI Assistant
The ChurnShift Assistant AI serves as an intelligent interface for executives and Customer Success Managers, enabling them to ask natural language questions about customer data and gain instant, actionable insights derived from machine learning models trained specifically on their organization's customer data. Acting as both a smart query tool and an explainability layer, the Assistant clarifies the rationale behind churn predictions, widget data, and AI-driven retention plan recommendations. For example, when asked “What is the churn rate by payment method?" - payment methods being a feature in the customer dataset, the assistant not only provides an immediate answer but also delivers visual analytics - highlighting key risk segments like electronic check users. This transparency empowers decision-makers to trust, understand, and act on AI recommendations with confidence.
The ChurnShift Assistant AI serves as an intelligent interface for executives and Customer Success Managers, enabling them to ask natural language questions about customer data and gain instant, actionable insights derived from machine learning models trained specifically on their organization's customer data. Acting as both a smart query tool and an explainability layer, the Assistant clarifies the rationale behind churn predictions, widget data, and AI-driven retention plan recommendations. For example, when asked “What is the churn rate by payment method?" - payment methods being a feature in the customer dataset, the assistant not only provides an immediate answer but also delivers visual analytics - highlighting key risk segments like electronic check users. This transparency empowers decision-makers to trust, understand, and act on AI recommendations with confidence.
The ChurnShift Assistant AI serves as an intelligent interface for executives and Customer Success Managers, enabling them to ask natural language questions about customer data and gain instant, actionable insights derived from machine learning models trained specifically on their organization's customer data. Acting as both a smart query tool and an explainability layer, the Assistant clarifies the rationale behind churn predictions, widget data, and AI-driven retention plan recommendations. For example, when asked “What is the churn rate by payment method?" - payment methods being a feature in the customer dataset, the assistant not only provides an immediate answer but also delivers visual analytics - highlighting key risk segments like electronic check users. This transparency empowers decision-makers to trust, understand, and act on AI recommendations with confidence.
The ChurnShift Assistant AI serves as an intelligent interface for executives and Customer Success Managers, enabling them to ask natural language questions about customer data and gain instant, actionable insights derived from machine learning models trained specifically on their organization's customer data. Acting as both a smart query tool and an explainability layer, the Assistant clarifies the rationale behind churn predictions, widget data, and AI-driven retention plan recommendations. For example, when asked “What is the churn rate by payment method?" - payment methods being a feature in the customer dataset, the assistant not only provides an immediate answer but also delivers visual analytics - highlighting key risk segments like electronic check users. This transparency empowers decision-makers to trust, understand, and act on AI recommendations with confidence.
Answers based on reports generated from your customer data
Answers based on reports generated from your customer data
Answers based on reports generated from your customer data
Answers based on reports generated from your customer data
Works optionally with your own local LLM served within your VPC
Works optionally with your own local LLM served within your VPC
Works optionally with your own local LLM served within your VPC
Works optionally with your own local LLM served within your VPC
Visualizations generated based on your customer data
Visualizations generated based on your customer data
Visualizations generated based on your customer data
Visualizations generated based on your customer data
FOR CHURN ANALYSTS & DATA SCIENTISTS
FOR CHURN ANALYSTS & DATA SCIENTISTS
Advanced Data Quality Reports
Advanced Data Quality Reports
Advanced Data Quality Reports
Advanced Data Quality Reports
The Data Quality and Exploratory Data Analysis (EDA) reports in ChurnShift provide a critical explainability layer by offering deep visibility into the state and structure of your customer data before it's used for AI modeling. These reports run a series of rigorous data quality tests to identify issues such as missing values, inconsistencies, or insufficient feature coverage - flagging potential problems that could impact model performance. By surfacing these data issues, ChurnShift empowers your team to proactively fix errors or gather additional data, ultimately improving prediction accuracy and reliability. In parallel, the EDA reports highlight key patterns, correlations, and outliers, giving executives and Customer Success Managers clear context around which features most influence churn and retention. Together, these insights ensure transparency and trust in the AI-driven recommendations delivered by the platform.
The Data Quality and Exploratory Data Analysis (EDA) reports in ChurnShift provide a critical explainability layer by offering deep visibility into the state and structure of your customer data before it's used for AI modeling. These reports run a series of rigorous data quality tests to identify issues such as missing values, inconsistencies, or insufficient feature coverage - flagging potential problems that could impact model performance. By surfacing these data issues, ChurnShift empowers your team to proactively fix errors or gather additional data, ultimately improving prediction accuracy and reliability. In parallel, the EDA reports highlight key patterns, correlations, and outliers, giving executives and Customer Success Managers clear context around which features most influence churn and retention. Together, these insights ensure transparency and trust in the AI-driven recommendations delivered by the platform.
The Data Quality and Exploratory Data Analysis (EDA) reports in ChurnShift provide a critical explainability layer by offering deep visibility into the state and structure of your customer data before it's used for AI modeling. These reports run a series of rigorous data quality tests to identify issues such as missing values, inconsistencies, or insufficient feature coverage - flagging potential problems that could impact model performance. By surfacing these data issues, ChurnShift empowers your team to proactively fix errors or gather additional data, ultimately improving prediction accuracy and reliability. In parallel, the EDA reports highlight key patterns, correlations, and outliers, giving executives and Customer Success Managers clear context around which features most influence churn and retention. Together, these insights ensure transparency and trust in the AI-driven recommendations delivered by the platform.
The Data Quality and Exploratory Data Analysis (EDA) reports in ChurnShift provide a critical explainability layer by offering deep visibility into the state and structure of your customer data before it's used for AI modeling. These reports run a series of rigorous data quality tests to identify issues such as missing values, inconsistencies, or insufficient feature coverage - flagging potential problems that could impact model performance. By surfacing these data issues, ChurnShift empowers your team to proactively fix errors or gather additional data, ultimately improving prediction accuracy and reliability. In parallel, the EDA reports highlight key patterns, correlations, and outliers, giving executives and Customer Success Managers clear context around which features most influence churn and retention. Together, these insights ensure transparency and trust in the AI-driven recommendations delivered by the platform.
Identify different (at-risk) cohorts in your customer base
Identify different (at-risk) cohorts in your customer base
Identify different (at-risk) cohorts in your customer base
Identify different (at-risk) cohorts in your customer base
Provides recommendations on how to improve your customer dataset
Provides recommendations on how to improve your customer dataset
Provides recommendations on how to improve your customer dataset
Provides recommendations on how to improve your customer dataset
Provides insights for the AI explainability layer
Provides insights for the AI explainability layer
Provides insights for the AI explainability layer
Provides insights for the AI explainability layer
FOR CHURN ANALYSTS & DATA SCIENTISTS
FOR CHURN ANALYSTS & DATA SCIENTISTS
Advanced Churn Timeline Analysis
Advanced Churn Timeline Analysis
Advanced Churn Timeline Analysis
Advanced Churn Timeline Analysis
The Timeline Analysis section of the ChurnShift Dashboard features two key widgets that provide a forward-looking view of customer behavior over the next 12 months. One widget displays the projected total customer base, while the other highlights the number of customers expected to churn during the same period. These insights, along with guidance from the ChurnShift Assistant, are derived from advanced reports generated by ChurnShift’s proprietary machine learning algorithms, which are specifically trained on your customer data. This enables a precise understanding of when churn is most likely to occur, empowering teams to anticipate and respond to critical risk periods effectively. These insights comes from Advanced Timeline Analysis Reports that feeds into the AI assistant that can act as the AI Explainability Layer and can be reviewed further by your data scientists.
The Timeline Analysis section of the ChurnShift Dashboard features two key widgets that provide a forward-looking view of customer behavior over the next 12 months. One widget displays the projected total customer base, while the other highlights the number of customers expected to churn during the same period. These insights, along with guidance from the ChurnShift Assistant, are derived from advanced reports generated by ChurnShift’s proprietary machine learning algorithms, which are specifically trained on your customer data. This enables a precise understanding of when churn is most likely to occur, empowering teams to anticipate and respond to critical risk periods effectively. These insights comes from Advanced Timeline Analysis Reports that feeds into the AI assistant that can act as the AI Explainability Layer and can be reviewed further by your data scientists.
The Timeline Analysis section of the ChurnShift Dashboard features two key widgets that provide a forward-looking view of customer behavior over the next 12 months. One widget displays the projected total customer base, while the other highlights the number of customers expected to churn during the same period. These insights, along with guidance from the ChurnShift Assistant, are derived from advanced reports generated by ChurnShift’s proprietary machine learning algorithms, which are specifically trained on your customer data. This enables a precise understanding of when churn is most likely to occur, empowering teams to anticipate and respond to critical risk periods effectively. These insights comes from Advanced Timeline Analysis Reports that feeds into the AI assistant that can act as the AI Explainability Layer and can be reviewed further by your data scientists.
The Timeline Analysis section of the ChurnShift Dashboard features two key widgets that provide a forward-looking view of customer behavior over the next 12 months. One widget displays the projected total customer base, while the other highlights the number of customers expected to churn during the same period. These insights, along with guidance from the ChurnShift Assistant, are derived from advanced reports generated by ChurnShift’s proprietary machine learning algorithms, which are specifically trained on your customer data. This enables a precise understanding of when churn is most likely to occur, empowering teams to anticipate and respond to critical risk periods effectively. These insights comes from Advanced Timeline Analysis Reports that feeds into the AI assistant that can act as the AI Explainability Layer and can be reviewed further by your data scientists.
Provides AI Explainability Layer: Rationale for Retention Plans
Provides AI Explainability Layer: Rationale for Retention Plans
Provides AI Explainability Layer: Rationale for Retention Plans
Provides AI Explainability Layer: Rationale for Retention Plans
Provides AI Explainability Layer for Executive & CSM Insights
Provides AI Explainability Layer for Executive & CSM Insights
Provides AI Explainability Layer for Executive & CSM Insights
Provides AI Explainability Layer for Executive & CSM Insights
Provides AI Explainability Layer for ChurnShift AI Assistant
Provides AI Explainability Layer for ChurnShift AI Assistant
Provides AI Explainability Layer for ChurnShift AI Assistant
Provides AI Explainability Layer for ChurnShift AI Assistant
ChurnShift Inc © 2025. (Patent Pending) All rights reserved. ChurnShift Inc., 430 Park Ave,, New York, NY, 10022. Unsubscribe: Manage preferences.
ChurnShift Inc © 2025. All rights reserved. ChurnShift Inc., 430 Park Ave,, New York, NY, 10022. Unsubscribe Manage preferences.
ChurnShift Inc © 2025. All rights reserved. ChurnShift Inc., 430 Park Ave,, New York, NY, 10022. Unsubscribe Manage preferences.