Predict When customers Slip

Away with predictive analytics

While running a successful business, customers often leave for unexpected reasons. With predictive analytics and AI as a service, you’ll be able to identify why customers leave and create targeted strategies to not only retain them but also grow your customer base.

Why is predicting customer churn important?  

Poor understanding of customer journeys

Without a predictive model that leverages AI, it’s hard to pinpoint why customers leave. Was it due to a bad customer experience? Was it high prices? You can’t answer these questions without predicting customer churn. 

Misallocation of time and money

Customers leave for various reasons. Without a churn prediction model, you risk spending excessive time and money trying to understand and retain customers without a clear strategy.

Poor customer experience

Without a process to analyze customer churn, you won’t be able to figure out what you’re doing right, what isn’t working, and what new innovations will resonate with your customers.

Major loss of revenue

Even if you find out which customer is almost out the door, you wouldn’t know what to do to retain them. A churn prediction model would’ve allocated you more time to come up with a smarter strategy to keep them, and in turn, keep your revenue flowing.

How Can a Churn Prediction Model Help You? 

Foster better relationships with your customers

2
K

Without a predictive model that leverages AI, it’s hard to pinpoint why customers leave. Was it due to a bad customer experience? Was it high prices? You can’t answer these questions without predicting customer churn.

Misallocation of time and money

2
K

Customers leave for various reasons. Without a churn prediction model, you risk spending excessive time and money trying to understand and retain customers without a clear strategy. 

Poor customer experience

2
K

Without a process to analyze customer churn, you won’t be able to figure out what you’re doing right, what isn’t working, and what new innovations will resonate with your customers. 

Major loss of revenue

2
K

Even if you find out which customer is almost out the door, you wouldn’t know what to do to retain them. A churn prediction model would’ve allocated you more time to come up with a smarter strategy to keep them, and in turn, keep your revenue flowing. 

 Our Proven Process for Building a Winning Churn Prediction Model with AI

  • Discovery Phase 
  • Data Collection & Preparation
  • Model Development & Training
  • Integration & Deployment  
  • Monitoring & Optimization

We start by understanding the current state of your data landscape and the business objectives you want to achieve with AI and predictive analytics. 

After gathering your requirements, we proceed with gathering your data and put it through a process of cleaning, structuring, and making it ready to build your churn prediction model.

With your data ready, we design and develop a churn prediction model. We make sure to employ advanced machine learning algorithms that can accurately identify patterns in your customer data and predict when they are about to leave you.

We integrate the churn prediction model into your already existing systems, making sure that it is properly aligned with your business process and workflows. Our team works in tandem with you to deploy this model effectively without disrupting your operations.

We continue to monitor the performance of your AI model. As your business needs evolve, we make necessary adjustments and optimizations to your model to ensure it assists you with accurate insights.

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How Can Data Pilot Help You?

At Data Pilot, we are not just a data product development and consulting services company; we are your strategic partner on the journey from raw data to decisions.

We work with a diverse portfolio of global businesses across various industries, with a world-wide presence and offices in the USA and Pakistan.

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