Convince customers to buy more

When customers buy more of what they want and need – either upgrading or adding additional products – it’s a win-win for them and your business. The trick is how you encourage them. Rather than pushing irrelevant suggestions, can you make offers and recommendations seem helpful? Data science can make up-selling and cross-selling turn out this way. In doing so, you not only earn more revenue and profit, but also strengthen customer relationships as you become a trusted advisor.

Accurately recommend products

Explore customer buying behavior and leverage market basket analysis to accurately predict products that other customers will like.

Increase revenue

Maximize your income and drive more individual customer purchases by cross-selling -recommending complementary products that increase your average revenue per customer.

Grow margins

Drive customers to products or encourage higher-volume purchased that yield a higher profit.

Improve loyalty

Understand your customers and provide them with relevant and timely suggestions in a way that seems helpful and ensures they remain satisfied and loyal.

Get started on your up-sell cross-sell project today!

View Other Use Cases

Churn Prevention

Identify customers likely to leave, take preventative action.

Customer Lifetime Value

Distinguish between customers based on business value.

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.

Risk Management

Understand risk to manage it.

Quality Assurance

Resolve quality issues before they become a problem.

Text Mining

Extract insight from unstructured content.