Distinguish between customers based on business value

It’s not practical to treat every customer exactly the same. Each one can and should receive different marketing messages, different offers, even different levels of service. To maximize profit for your business, you need to know which customers represent the most in terms of future revenues and profit. Data science can do exactly this. Then, you can optimize your customer relationship management efforts in a way that ensures the best possible business outcome. Quantify the customers that are going to generate more sales and allocate marketing spend based on the financial lifetime value of each customer and prospect.

Quantify customers’ potential value

Predict the lifetime value of each customer, based on everything you know about them. Understand just how important each is to your future success.

Differentiate marketing and service

Communicate and interact with each customer based on their long-term importance to your business, not just surface observations. Ensure each gets the experience they deserve.

Find valuable prospects

Use profiles of your most valuable long-term customers to identify and acquire prospects with similar characteristics. Target acquisition marketing to best effect.

Increase revenue and margins

Stop wasting service and retention efforts on customers that don’t merit it. Focus on the most profitable customers to grow your business and accelerate success.

Get started on your customer lifetime value project today!

View Other Use Cases

Churn Prevention

Identify customers likely to leave, take preventative action.

Customer Segmentation

Create meaningful customer groups for more relevant interactions.

Demand Forecasting

Know what volumes to expect to improve planning.

Fraud Detection

Identify fraudulent activity quickly, and end it.

Next Best Action

The right action at the right time for the right customer.

Predictive Maintenance

Predict equipment failure, plan cost-effective maintenance.

Price Optimization

Set prices that balance demand, profit, and risk.

Product Propensity

Predict what your customers will buy, before even they know it.

Quality Assurance

Resolve quality issues before they become a problem.

Risk Management

Understand risk to manage it.

Text Mining

Extract insight from unstructured content.

Up- and Cross-Selling

Convince customers to buy more.