ML Observability for
Churn Prediction Models

Enhance model performance to confidently win back customers by increasing retention rate and accurately predicting churn.

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Sound the alarms when drift appears

  • Detect model drift to safeguard your churn prediction model’s accuracy and efficacy.
  • Facilitate more confident and accurate forecasting of customer behaviors, paving the way for improved business and budget decisions.
  • Stay a step ahead of trends, and get alerts directly to Slack, MS Teams, and email.

Analyze past client lifecycles correctly

Want to ensure that your model is analyzing past client life cycles correctly?

  • Centralized live view of all Churn Prediction Models in production.
  • Easily customize dashboards to track model activity and inference trends.
  • Share insights on data behavior and actual model performance.
Want to ensure that your model is analyzing past client life cycles correctly? Get a centralized and customized live view of all of your Churn Prediction Models running in production. Monitor model activity, inference trends, data behavior, actual model performance and more, enabling you to prevent customers from churning before its too late.

Unlock insights to enhance performance

  • Swiftly investigate issues with advanced root cause analysis tools, reducing the time spent on identifying flaws in your churn models.
  • Leverage deep insights to fine-tune your churn prediction models, fostering continuous improvement and higher accuracy.
  • Pinpoint exact features driving churn model performance, facilitating informed decisions and quick response strategies.
With our Data Points and Time Series investigation tools, you can discover and understand the root cause of any issue in your Churn Prediction model. Leverage Aporia’s Investigation & Explainability tools to easily slice and dice your model's data and drill down into its data points, With these tools in hand, confidently predict the probability of a customer dropping a product or service. Aporia simplifies “What If” simulations and gets to the root cause of which features drive churn. In just a few clicks you can easily share these insights with all relevant stakeholders.

“In a space that is developing fast and offerings multiple competing solutions, Aporia’s platform is full of great features and they consistently adopt sensible, intuitive approaches to managing the variety of models, datasets and deployment workflows that characterize most ML projects. They actively seek feedback and are quick to implement solutions to address pain points and meet needs as they arise.”

Felix D.

Principal, MLOps & Data Engineering

“As a company with AI at its core, we take our models in production seriously. Aporia allows us to gain full visibility into our models' performance and take full control of it."

Orr Shilon

ML Engineering Team Lead

“ML models are sensitive when it comes to application production data. This unique quality of AI necessitates a dedicated monitoring system to ensure their reliability. I anticipate that similar to application production workloads, monitoring ML models will – and should – become an industry standard.”

Aviram Cohen

VP R&D

“With Aporia's customizable ML monitoring, data science teams can easily build ML monitoring that fits their unique models and use cases. This is key to ensuring models are benefiting their organizations as intended. This truly is the next generation of MLOps observability.”

Guy Fighel

General Manager AIOps

“ML predictions are becoming more and more critical in the business flow. While training and benchmarking are fairly standardized, real-time production monitoring is still a visibility black hole. Monitoring ML models is as essential as monitoring your server’s response time. Aporia tackles this challenge head on.”

Daniel Sirota

Co-Founder | VP R&D

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Start Monitoring Your Models in Minutes

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