Yes. It’s a 100% Salesforce-native solution, built using Salesforce data models, Lightning components and Einstein capabilities. This means seamless integration, zero external dependency and faster adoption for your teams.
Make Customer Retention a Data-Driven Discipline
AI-led account health insights to identify churn risk early and guide proactive actions to retain revenue and strengthen long-term relationships.
Let's Connect to Discuss Your Customer Retention Challenges
Infoglen: Your Trusted Partner for AI-Powered Account Health
Retaining existing customers is far more cost-effective than acquiring new ones, yet most businesses lack visibility into early churn signals. Limited account insights, scattered data and overreliance on individual expertise often lead to reactive account management and preventable revenue loss.
Infoglen’s Account Health App solves this challenge. Built natively on Salesforce and powered by AI, it gives teams a unified, intelligent view of customer health right inside their CRM.
By combining customer data, engagement history and predictive intelligence (across both structured and unstructured sources), the app helps you identify churn risks early, prioritize the right actions and protect recurring revenue before it slips away.
Solution Overview
AI-Driven Account Health Scoring
Account Health App continuously analyzes both structured data (like usage, billing and service logs) and unstructured data (like emails, notes and feedback) to calculate an AI-driven Health Score (0–100) for every account.
Green (76–100): Healthy
Yellow (51–75): Caution
Red (0–50): High Risk
Each score identifies the top drivers of account risk, such as declining revenue, reduced product usage, or payment irregularities, helping teams prioritize high-impact actions.
AI-Powered Recommendations
Our app doesn’t just flag at-risk accounts, it tells you what to do next.
Each recommendation is data-backed, powered by a blend of structured CRM data (like usage, billing and service activity) and unstructured customer signals (like emails, feedback and support notes). This combination delivers actionable, context-rich insights that reflect real customer sentiment and business priorities.
Example: “Schedule engagement, usage dropped by 40%.”
Every recommendation also includes a Confidence Score, Expected Impact and Effort Estimate, helping your team prioritize the actions that have the greatest potential to prevent churn and strengthen your customer relationships.
Smart Task Automation
Accepted recommendations automatically create Salesforce Tasks with ownership, context and due dates, ensuring that every high-risk account receives continuous, timely follow-up without manual coordination.
Feedback Loop for Continuous Learning
Every accepted or rejected recommendation feeds back into the model, improving its precision in identifying churn patterns and refining future recommendations, turning every decision into a learning cycle.
Dashboards & Insights
Account Health App gives a real-time view of your account health across entire portfolio through intuitive dashboards and visual analytics: Some of the metrics that you can easily track are:
Attrition Risk Overview: Predict churn probability and overall customer health trends.
Account Prioritization Panel: Identify high-risk or high-value segments that need immediate attention.
Activity Tracker: Monitor retention actions, interventions and their outcomes over time.
The app also includes key metrics such as License Utilization (the ratio of active users to total licenses) and User Activity Levels across different time windows (7-day, 30-day, or 90-day).
Together, these insights help your teams understand engagement depth, usage patterns and account stability, all within Salesforce.
Industry-Wise Use Cases
Technology & SaaS
- Identify under-utilized licenses and declining product adoption
- Trigger renewal and upsell workflows based on engagement trends
- Prevent churn in seat-based pricing models through predictive insights
Financial Services
- Detect early warning signs in client portfolios (reduced transactions, delayed payments)
- Improve advisor productivity with prioritized outreach
- Enhance customer lifetime value through AI-led retention actions
Real Estate
- Monitor tenant or investor satisfaction across accounts
- Predict contract non-renewals using engagement and payment history
- Automate follow-ups and retention campaigns for high-value clients
Manufacturing
- Identify distributors or resellers with declining orders or engagement
- Track customer service requests and satisfaction trends
- Enable proactive outreach to strengthen long-term relationships
Telecom
- Predict subscription cancellations through usage behavior analysis
- Detect inactive or dormant accounts before renewal cycles
- Automate targeted re-engagement campaigns
Consulting Services
- Track client engagement throughout project lifecycles
- Flag accounts with reduced meeting cadence or deliverable activity
- Support client success teams with AI-based renewal insights
Who Is This For
Roles We Address
What They Gain
Head of Customer Success
Enterprise-level view of churn exposure and retention performance
Customer Success Managers (CSMs)
Clear daily prioritization of accounts based on real risk signals
Account & Renewal Managers
Confident renewal planning supported by predictive health data
Revenue Leadership (RevOps / CRO)
Understanding churn impact on forecasts and recurring revenue
CX & Digital Transformation Leaders
Scaling retention through AI-driven processes, not manual effort
Product Leaders
Visibility into adoption patterns influencing customer retention
Support & Service Managers
Early insight into service-related risk affecting account health
Marketing Operations Teams
Identification of re-engagement opportunities for at-risk accounts
Sales Leadership
Insight into expansion-ready vs. churn-prone accounts
Data & Analytics Teams
Governed, explainable models instead of disconnected reports
Our 7-Step Implementation Approach:
Account Health App
Data
Aggregation
Consolidates Salesforce CRM data, usage metrics, service activity, billing signals and customer interactions into a single account view.
Signal
Categorization
Groups incoming data into clear signal types (usage, engagement, revenue, service, sentiment) to maintain consistent interpretation across accounts.
AI Scoring
Engine
Applies predictive modeling to generate real-time Account Health Scores based on weighted business signals.
Risk Driver
Identification
Surfaces the key factors impacting each account’s health score, highlighting early churn indicators.
Recommendations
Generation
Produces data-backed next best actions with confidence, impact and effort indicators.
Automation &
Task Creation
Converts accepted recommendations into Salesforce tasks with ownership, context and due dates.
Continuous
Learning
User actions feed back into the model to refine scoring accuracy and improve future recommendations.
Results You Can Expect
Because We've Done It Before
Attrition is different in every business, but the goal is the same: keep your best customers.
Infoglen’s Account Health App has helped businesses achieve measurable results:
65%
accuracy in predicting churn across complex account portfolios
40%
faster identification of at-risk customers
2x
improvement in retention actions and outcomes
Up to 3x
more accounts managed per team through automation
Account Health App | FAQs
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Q: Is the Account Health App built on Salesforce?
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Q: How does it integrate with my existing Salesforce setup?
The app works effortlessly with both standard and custom Salesforce objects: Accounts, Opportunities, Cases and more. It can also pull data from external systems like Data Cloud, Snowflake, billing platforms, or support tools, bringing everything into one unified customer health view.
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Q: What type of data does it analyze?
It analyzes both structured data (usage, billing, renewals, support history, service logs) and unstructured data (emails, notes, feedback, interactions). This combination provides a true 360° picture of account health, uncovering risks that traditional reports miss.
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Q: Do I need Einstein Analytics to use it?
Not necessarily. The app is optimized for CRM Analytics to unlock predictive intelligence and advanced dashboards, but it can also function with standard Salesforce reports and dashboards for organizations not using Einstein.
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Q: Can the scoring model be customized for my business?
Absolutely. The scoring model can be tailored to your KPIs, from which metrics matter most (e.g., license usage, engagement, payment consistency) to how each factor is weighted. If you already use custom predictive models, you can integrate those as well.
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Q: How long does it take to implement?
Most organizations go live within 4 to 6 weeks, depending on data readiness and integrations. Infoglen’s delivery experts configure the scoring logic, connect data sources, validate AI predictions and train your teams for a smooth rollout.
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Q: How is this different from standard Salesforce reports?
Salesforce reports show what happened. The Account Health App explains why it happened and what to do next. It uses AI to analyze patterns, predict churn risk and generate actionable recommendations
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Q: Can the app support upselling or cross-selling?
Yes. By analyzing product usage, engagement trends and sentiment signals, the app highlights accounts that are ready for expansion. It helps teams not only prevent churn but also drive revenue growth through timely upsell and cross-sell recommendations.
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Q: What support does Infoglen provide post-deployment?
Infoglen provides end-to-end support, including health score tuning, AI performance reviews, model recalibration and training workshops for new users. Our Salesforce-certified experts ensure your Account Health App evolves with your business needs.
