CUSTOMER CHURN AND REVENUE
Averisys Customer Journey Analytics Platform
Cut Churn. Protect Revenue.
See how customer sentiment affects churn and revenue. Prioritize the best next action.
Trusted by leading organizations
Customer churn prediction and churn analysis in one platform
Churn analysis looks backward. It counts the customers who left, groups them by segment, and describes what they had in common. Churn prediction looks forward. It estimates which customers are likely to leave next, how soon, and what would change that. Averisys Customer Journey Analytics Platform does both in one place, so the pattern in past churn becomes a ranked list of customers a retention team can act on this week.
Churn is rarely a surprise. It is a decline that was visible earlier: falling usage, longer gaps between logins, fewer active users on the account, support tickets that took too long, invoice disputes, downgrades, and low satisfaction with price fairness, product quality, or support. The platform reads those signals from usage, support, billing, and customer feedback data, and orders them by how much each one drives churn.
Three answers matter to a retention team, and the platform produces all three. Who is at risk, as a score for each customer. When the risk becomes real, so outreach lands before the renewal instead of after it. And why, so the fix is specific — pricing, support response, onboarding, or product gaps — rather than a blanket discount. Each answer carries the revenue attached to it, because a high-risk small account and a moderate-risk major account should not receive the same attention.
A risk score changes nothing on its own. That is why the platform explains every result in plain English, states how accurate the model is and how much confidence the numbers deserve, tests retention changes as what-if scenarios before any budget is committed, and ranks the recommended actions by the revenue they protect. Retention, customer experience, marketing, and revenue teams use it without a statistics background and without a dedicated data team.
AI transforms user requests into visualizations and recommendations, seeking user approval.
Users pose questions or describe research interests in plain language.
AI conducts the analysis and presents the results with relevant visualizations.
AI interprets the findings, highlights risks, and offers recommendations.
Users are prompted to accept or reject the results.
Human-AI Interaction
Tell AI your interest. AI plans and conducts analysis. You are prompted to approve its analysis.
Advanced Machine Learning (ML)
Prediction - Recursive Feature Machine
In addition to text and audio data, the Customer Journey Analytics Platform analyzes the quantitative data. It measures the impact of customer sentiment on churn. And it orders customer sentiment by its impact. So you can see which sentiment has the greatest impact on churn.
Trend and forecasting-LightGBM
Digging deeper into revenue, the Customer Journey Analytics Platform shows real-time revenue trends and predicts future revenue based on customer sentiment. It shows revenue for churn-prone customers and stay-prone customers. So you can see how improving customer sentiment and cutting churn increase revenue.
Time-to-event-Random Survival Forests
Averisys applies Random Survival Forests to predict when an event is most likely to happen for each individual, and shows which factors speed it up or delay it. So you can act before the event occurs.
Relationship-Neural Structural Equation Modeling (SEM)
By linking revenue to its drivers, the Customer Journey Analytics Platform measures the impact of customer sentiment on revenue in two ways: directly and indirectly, through churn. It displays the red path, showing the significant impact of customer sentiment on churn and revenue. So you can see which sentiment has a significant impact on churn and revenue.
Advanced Large Language Model (LLM)
Risk Identification.
The Customer Journey Analytics Platform examines this impact further and identifies revenue risk from customer sentiment. And it orders customer sentiment by its risk. So you can focus on the highest-risk sentiment. Averisys Customer Journey Analytics Platform identifies risks based on the results — functionality, predictive performance, scalability, and interpretability — and writes the risk report together with the recommended actions. So you know exactly where the risks are and what to do next.
What-if Analysis.
Digging deeper into this impact, Averisys Customer Journey Analytics Platform also tests what-if scenarios. It estimates how improvements in customer sentiment increase revenue. So you can see which sentiment increases revenue the most.
Recommendation.
Finally, Averisys Customer Journey Analytics Platform provides recommended actions based on risk scores and what-if scenarios. So you can make the best-informed decision based on the Customer Journey Analytics Platform.
Result Interpretation.
Averisys Customer Journey Analytics Platform interprets every result in plain English. It explains what the model found about customer sentiment, churn, and revenue, how accurate the model is, and how confident you can be in the numbers. So you can understand the findings without a statistics background.
Reports.
Averisys Customer Journey Analytics Platform writes the report for you. It produces an executive summary with key findings, the metrics behind them, and the top drivers of revenue. So you can share results with leadership in minutes, not weeks.
Question Responses.
Averisys Customer Journey Analytics Platform answers follow-up questions on demand. Ask anything about the results in plain language — patterns, trends, or what a number means for revenue — and the AI assistant responds with a detailed, evidence-based answer. So you can keep digging until you have the answer you need.
Advanced Natural Language Processing (NLP)
Sentiment Analysis.
Averisys Customer Journey Analytics Platform first summarizes customer sentiment, including satisfaction with support, price, marketing and products. It organizes sentiment by themes, positive and negative. So you can understand customer sentiment.
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Frequently asked questions
Customer intelligence platform — answers
What is a customer intelligence platform?
A customer intelligence platform analyzes customer sentiment data to measure its impact on churn and revenue, predict future outcomes, and recommend the best actions to protect revenue.
What is the difference between churn analysis and churn prediction?
Churn analysis explains the customers who already left. Churn prediction estimates which customers are likely to leave next and when, so a retention team can act before the loss happens.
How does customer churn prediction work?
A model learns which combinations of behavior and sentiment preceded past churn, then scores each current customer on the same signals, producing a risk level, a likely timing, and the drivers behind it.
What is the difference between a customer intelligence platform and a customer insights platform?
A customer insights platform reports what customers think and do. A customer intelligence platform also predicts churn and revenue and ranks the actions most likely to protect revenue.
How does a customer analytics platform fit in?
A customer analytics platform focuses on dashboards, segmentation, and reporting. A customer intelligence platform like Averisys layers AI-driven prediction and recommended actions on top of analytics.
Who uses a customer intelligence platform?
Customer experience, retention, marketing, and revenue teams use a customer intelligence platform to reduce churn, protect revenue, and prioritize the highest-impact actions.
Can a retention change be tested before it is rolled out?
Yes. Averisys Customer Intelligence Platform runs what-if scenarios that estimate how improving a driver such as support satisfaction or price fairness would affect churn and revenue.
Does Averisys Customer Intelligence Platform require a data team?
No. Averisys Customer Intelligence Platform explains every result in plain English and recommends actions, so non-statisticians can act on the insights without a dedicated data team.
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Learn: What is a Customer Intelligence Platform?
Plain-English guide to the customer intelligence platform category.
Guide: Customer Journey Analytics
Find the journey stages that lose customers and the revenue behind them.
Guide: Customer Experience Analytics
Rank the experience drivers that affect churn and revenue.
Guide: Customer Sentiment Analysis
Turn feedback themes into churn and revenue impact.
Guide: Voice of the Customer Analytics
Turn a feedback program into a ranked action list.
Guide: Decision Intelligence Platform
How measurement, prediction, and recommended actions fit together.