Instant Advanced Analytics

Association Rules and Market Basket Analysis [+]

See how easy yet powerful Association Rules and Market Basket Analysis is inside Quiterian Analytics.

Discover cross-selling opportunities with Quiterian Analytics [+]

Imagine that we have a database of customers and another one of transactions. We have an online shop that sells both Tablets and other eReader products and, on the other hand we also have a category for eBooks, and electronic books.The first thing to do is to cross both segments, sales made of electronic devices capable of reading books and, electronic books, eBooks. We first see that there are no intersections, because we are analyzing transactions, but when we change the resolution level to customers, by dragging and dropping the customers database, we see customers who bought only one type of products, customers who bought the other category, and customers who have bought both eReaders and eBooks. We think there is a potential in customers who have bought electronic devices but have not bought any ebook from us. We are also adding a new segment, customers who are subscribed to the ebook library. Now, we have a group of customers who have bought an eReader or Tablet, who haven't bought yet an electronic book and who also are subscribers of our electronic library. Just by doing click on this, we identify those customers as a potential selling opportunity and we are now able to make a customized campaign to them. In just a few seconds we have been able to identify those cross-selling opportunities with Quiterian Analytics.

Identifying loyal customers in less than 8 minutes [+]

Successful targeted campaigns and customer offerings are based on trusted customer insights. A marketing campaign to reward loyal customers cannot be equal to a campaign to welcome new customers, to reactivate asleep ones or to prevent their churn. But, how can we get to know which are our loyal/inactive/lost/new customers? And, even most important, how are these customers and how are they not? Put yourself in the shoes of the marketing director of a bank which has more than one million customers, 1.750.000+ accounts and 46.000.000+ credit card transactions. Create new fields and explore granular data. Classify customer transactions to find which customers have purchased in all quarters, which have stopped from shopping and which have not performed any transaction in all periods. Find hidden relationships and trace their profile for a more accurate view of your customers. Quiterian Analytics’ analytical and predictive techniques will let you know which your loyal customers are.

Retail campaign segmentation based on customers past behavior [+]

A retail company with one million customers and 70 thousand customers who were contacted in past campaigns needs to improve its marketing campaigns’ accuracy and impact through a more accurate customers segmentation. Learn how to segment your customers base depending on their behavior in prior campaigns.

Detecting a Cross-selling opportunity in 5 minutes [+]

Cross-selling is a key issue for financial companies, since the more accounts per customer they have, the higher the loyalty indicator rises. You are going to see how to find the best product to recommend to each customer through the most effective channel in just five minutes, with Quiterian Analytics.