Using data, algorithms and machine learning, this tool predicts customer churn before it occurs. To benefit from this feature, you can select a specific time period or customer segment to answer questions such as:
Based on your customers’ purchase behavior in the past, this analysis examines the average customer repurchase rate for the second, third, and subsequent purchases to predict their future buying patterns. With the help of this, you can identify customers with the following characteristics:
One of the most useful methods to increase sales is product bundling. Markight enables you to choose a product, and view which other products have a better chance of selling with that product. This feature provides you with indispensable analytics about product bundling, upselling, cross-selling and product assortment. By using Markight’s product bundling feature and implementing subsequent strategies, you can increase the sales of your products while providing a more optimal customer experience.