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Astradis™ Platform Overview

Teragonia's Astradis™ Platform equips private equity firms and their portfolio companies with real-time, function-specific intelligence to align teams, accelerate execution, and drive EBITDA growth.

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From Churn to Loyalty: $90M Enterprise Value Boost with Value Orchestration

Overview

A subscription-based education platform was losing customers at unsustainable rates due to siloed data and limited retention tools. By activating Teragonia’s Astradis™ platform with the Revenue Command Center, leaders orchestrated churn signals into targeted interventions. The approach improved subscriber engagement, reduced risk, and unlocked a $90 million enterprise value opportunity within one execution cycle.

Industry:

B2C Education – Content

Challenge

A leading education platform faced churn as high as seventy-five percent. Fragmented data left blind spots, preventing leadership from spotting at-risk users early or coordinating retention actions effectively.

Solution

Teragonia delivered a predictive churn model and product recommendation engine, unifying disparate data sources to enable proactive, data-driven retention strategies.

Impact

The company established a sustainable, insight-led retention strategy that enhanced customer engagement and operational agility across the subscriber lifecycle.
$90M EV Uplift
measurable enterprise value gain
~90% Accuracy
churn signals surfaced with precision
<4 hours
minimal management time
6 weeks
rapid Astradis™ deployment

The Challenge

In subscription-based businesses, keeping customers is often as difficult as winning them. Churn rates remain high, worsened by fragmented data ecosystems and weak visibility into customer behavior. Without a unified understanding of customer journeys and early risk signals, organizations struggle to design and execute timely retention initiatives.

The client, a private equity-backed education platform, faced churn near seventy-five percent. User activity, course engagement, transactions, and CRM records sat in disconnected silos, blocking reliable planning. Leaders had no consolidated view of risk, no ability to tailor outreach, and no means of intervening at scale. Without orchestration, retention efforts stayed reactive, slow, and ineffective—costing millions in lost enterprise value.

The Solution

To address these challenges, Teragonia implemented Value Orchestration through its Astradis™ Revenue Command Center:

  • Unified Data Across Systems: Combined activity, engagement, transaction, and CRM data into a single control room view for customer behavior.

  • Surfaced Churn Signals: Applied predictive modeling to identify at-risk subscribers with precision.

  • Activated Recommendations: Built an AI-powered engine to deliver next-best course suggestions and cross-sell triggers.

  • Embedded Campaigns: Partnered with marketing to align personalized communications and retention offers with churn risk signals.

  • Sequenced Execution: Enabled leadership to act in real time with orchestrated plays, owners, and timelines, minimizing disruption.

The Result

The program delivered measurable outcomes and enabled more accountable execution:

  • Retention Gains: Personalized campaigns boosted engagement by recommending courses aligned to job role, history, and renewal windows.

  • Early Interventions: Predictive churn signals highlighted segments at risk, letting leaders deploy timely save plays.

  • Cross-Functional Alignment: Astradis™ provided a shared control room view of churn, retention, and behavior across product, marketing, and leadership.

  • Rapid Time-to-Value: Astradis™ was deployed within six weeks, embedding orchestrated retention plays quickly, with minimal disruption and limited internal resource requirements.

The Impact

By replacing fragmented workflows with Value Orchestration, Teragonia delivered a customer-centric operating model anchored in execution. Astradis™ surfaces churn signals in real time and routes actions directly to owners, ensuring interventions happen before customers disengage. Leadership now acts faster and with greater confidence, consistently converting subscriber risk into enterprise value.

From Churn to Loyalty: $90M Enterprise Value Boost with Value Orchestration

Key Results
$90M EV Uplift

measurable enterprise value gain

~90% Accuracy

HTS-country combinations tracked

<4 Hours

minimal management time

6 Weeks

Rapid Astradis™ Deployment

Grow EBITDA at the Speed of AI
Ready to see the platform in action?
Schedule Demo

From Churn to Loyalty: $90M Enterprise Value Boost with Value Orchestration

Key Results
$90M EV Uplift

measurable enterprise value gain

~90% Accuracy

HTS-country combinations tracked

<4 Hours

minimal management time

6 Weeks

Rapid Astradis™ Deployment

3 Minutes
B2C Education – Content
From Churn to Loyalty: $90M Enterprise Value Boost with Value Orchestration

Content

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Overview

A subscription-based education platform was losing customers at unsustainable rates due to siloed data and limited retention tools. By activating Teragonia’s Astradis™ platform with the Revenue Command Center, leaders orchestrated churn signals into targeted interventions. The approach improved subscriber engagement, reduced risk, and unlocked a $90 million enterprise value opportunity within one execution cycle.

The Challenge

In subscription-based businesses, keeping customers is often as difficult as winning them. Churn rates remain high, worsened by fragmented data ecosystems and weak visibility into customer behavior. Without a unified understanding of customer journeys and early risk signals, organizations struggle to design and execute timely retention initiatives.

The client, a private equity-backed education platform, faced churn near seventy-five percent. User activity, course engagement, transactions, and CRM records sat in disconnected silos, blocking reliable planning. Leaders had no consolidated view of risk, no ability to tailor outreach, and no means of intervening at scale. Without orchestration, retention efforts stayed reactive, slow, and ineffective—costing millions in lost enterprise value.

Teragonia's Solution

To address these challenges, Teragonia implemented Value Orchestration through its Astradis™ Revenue Command Center:

  • Unified Data Across Systems: Combined activity, engagement, transaction, and CRM data into a single control room view for customer behavior.

  • Surfaced Churn Signals: Applied predictive modeling to identify at-risk subscribers with precision.

  • Activated Recommendations: Built an AI-powered engine to deliver next-best course suggestions and cross-sell triggers.

  • Embedded Campaigns: Partnered with marketing to align personalized communications and retention offers with churn risk signals.

  • Sequenced Execution: Enabled leadership to act in real time with orchestrated plays, owners, and timelines, minimizing disruption.

Results

The program delivered measurable outcomes and enabled more accountable execution:

  • Retention Gains: Personalized campaigns boosted engagement by recommending courses aligned to job role, history, and renewal windows.

  • Early Interventions: Predictive churn signals highlighted segments at risk, letting leaders deploy timely save plays.

  • Cross-Functional Alignment: Astradis™ provided a shared control room view of churn, retention, and behavior across product, marketing, and leadership.

  • Rapid Time-to-Value: Astradis™ was deployed within six weeks, embedding orchestrated retention plays quickly, with minimal disruption and limited internal resource requirements.

The Impact

$90M EV Uplift

measurable enterprise value gain

~90% Accuracy

HTS-country combinations tracked

<4 Hours

minimal management time

6 Weeks

Rapid Astradis™ Deployment

By replacing fragmented workflows with Value Orchestration, Teragonia delivered a customer-centric operating model anchored in execution. Astradis™ surfaces churn signals in real time and routes actions directly to owners, ensuring interventions happen before customers disengage. Leadership now acts faster and with greater confidence, consistently converting subscriber risk into enterprise value.

Share

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Grow EBITDA at the Speed of AI
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Schedule Demo

Foundational Tech Infrastructure

Our core analytics and AI platform drives informed decision-making with enhanced clarity and focus, and rapidly unlocks enterprise value

Core Features:

Connect All Your Data Sources

Integrate data from multiple source systems effortlessly

Critical for breaking down silos and creating a unified view

One Trusted Data Source

A secure, centralized cloud hub for all your data insights

Foundational for reliable decision-making and enterprise-wide alignment

Interactive Dashboards

Visualize complex data through easy-to-understand dashboards

Empowers leaders with actionable insights

Enriched Data Flow, Fully Automated

Reverse ETL capabilities enriches your data and ensures your data flows exactly where it is needed for function teams to act on

Enables real-time, action-oriented data flow 

Additional AI capabilities are actively in development

Your Data Should Drive Real Results

Are you unlocking the full potential of your data?

Scott Briggs

BS International Business | American University of Paris

BS Computer Science | American University of Paris

Seasoned DevOps and infrastructure engineer with expertise in AWS, Kubernetes, and Terraform; led cloud migrations and scalable infrastructure projects at Sfara, FanDuel, and Kickstarter.

With over 15 years of experience in small and medium-sized startups, Scott is a seasoned expert in designing, optimizing, and maintaining robust, scalable, and secure infrastructure. He specializes in automation and embedding security from the ground up, consistently delivering reliable systems tailored to meet dynamic business requirements.

Prior to joining Teragonia, Scott made a significant impact at Sfara, where he built the company’s entire infrastructure from scratch. He engineered systems capable of supporting hundreds of thousands of users with seamless scalability, implemented automated development pipelines, and introduced observability tools to monitor and manage resources effectively. Additionally, Scott led the infrastructure team in achieving ISO27001 security certification, ensuring security was integrated into every aspect of the system and transforming it into a critical asset for business-to-business operations.

Beyond his technical expertise, Scott has a proven track record of managing and mentoring high-performing teams. As a Senior DevOps Engineer at FanDuel, he gained invaluable experience in scaling infrastructure and optimizing resources to support millions of daily users, aligning technological capabilities with organizational goals.

Jack Amedio

Master’s in Human Resources | University of Illinois

Bachelor’s in Management | Loyola University

Former Financial and Operations Manager at Houlihan Lokey, Golin Harris, and MSL Group.

Jack is a highly driven, cross functional professional with extensive experience in operations and administration. 

Prior to joining Teragonia, Jack held financial and facilities management roles for Houlihan Lokey, MSL Group/Publicis, and Golin Harris in which managed and created processes and trainings for multiple functional areas ensuring operational and administrative procedures were well planned, efficient, cost-effective, and aligned with business objectives while ensuring initiatives, internal events as well as client events propelled employee and client engagement.

Jack holds undergraduate degrees from University of Illinois and Loyola University Chicago and has completed graduate certificates in Business Administration, Strategic Human Resources, and Operations at Cornell, CUNY-Buffalo, and University of Illinois and is in the process of completing a Master’s in Human Resources at Loyola University Chicago’s Quinlan School of Business.

Mason Taylor

MS Analytics | Georgia Institute of Technology

BS Management Information Systems | Oklahoma State University

Former analytics engineer at Cyderes and ConocoPhillips with a Master’s in Analytics from Georgia Institute of Technology and a Bachelor’s in Management Information Systems from Oklahoma State University

Mason is an Analytics Engineer with deep experience in data analytics, business intelligence, machine learning, and cybersecurity. He brings a proven track record of leading analytics engagements spanning architecture, insights, visualizations, and delivery.

Before joining Teragonia, Mason was a Senior Analytics Engineer at Cybersecurity MSSP CYDERES where he built a scalable, standardized, and secure analytics architecture for over 300 clients across many industries and consulted with them to deliver insights through bespoke data driven solutions. In addition, he managed the data delivery of the insight platform leveraged by the Security Operations Center to respond to incidents in a timely and effective manner.

Prior to joining CYDERES, Mason worked in ConocoPhillips’ Analytics and Innovation Center of Excellence holding varied roles within the Data Analytics organization from Data Engineering, to Business Intelligence, and Data Science. He delivered robust data solutions in all operating units for various functions including Engineering and Production, Finance, IT, and more. Including projects to standardize cost and production data across operating units. 

Mason started his career at The Williams Companies in cybersecurity and transitioned to cybersecurity at ConocoPhillips where he found his passion for Data Analytics through SIEM management, detection engineering, and threat intelligence.

Grace Sun

Bachelor’s in Finance & Accounting | Georgetown University

Former analytics engineer at Houlihan Lokey and financial analytics at JP Morgan Chase with a Bachelor’s in Finance & Accounting at Georgetown University

Grace is a seasoned analytics engineer with specialized expertise in crafting and implementing analytics solutions that drive agile, informed executive decisions in M&A and value creation for private equity-backed companies.

Before joining Teragonia, Grace was a part of the data science and business analytics team at Houlihan Lokey. She has excelled in harmonizing, enriching, and analyzing data from diverse sources, providing key insights that enabled private equity investors and portfolio company executives to make rapid, data-driven decisions across the investment lifecycle. She has developed novel analytics solutions, including deal sourcing and evaluation tools for platform investments that employ a buy-and-build or de novo growth strategy, as well as post-close value creation and KPI reporting tools for operators and management teams.

Grace has also worked at JPMorgan Chase & Co. in the Global Finance and Business Management rotational program, where she built analytics solutions to evaluate banker attrition and KPI reporting within the Global Private Bank.