& Target one
Keeping existing customers is five times cheaper than the cost of attaining new ones. For this reason, marketing executives often find themselves trying to estimate the likelihood of customer churn and finding the necessary actions to minimize the churn rate.
Customer Churn Prediction uses Machine Learning to predict churn probability and helps find patterns in existing data associated with the predicted churn rate.
Improve Customer Retention: Proactively launch campaigns and strategies to abate customer attrition
Gain Actionable Intelligence: Know the effects of seasonality on customer churn and the success of campaigns and strategies.
Reduce Costs: It is more profitable to keep existing customers than to acquire new ones
CUSTOMER 360 & TARGET ONE (a manthan systems solution)
Our solution is an analytical technology platform specially designed to attract and influence customers through real-time micro-managed campaigns and personalized promotions.
It consists of a model of industry data, hundreds of KPIs and reports and advanced analytical models that allow generating customer intelligence inputs.
Increase the frequency of purchase of customers.
Increase product penetration
Increase the assertiveness rate of marketing campaigns by optimizing budgets
Influencing purchasing behavior by optimizing business and logistics strateg
PRICE OPTIMIZATION (a CustoLogix solution)
Our price optimization solution takes as input the information of the point of sale, of products, of competitive prices, of macroeconomic trends, of promotions, etc. These data are used to develop a series of algorithms to create a set of demand curves per SKU in each store.
The demand curve identifies products that are the most and least sensitive to price. Additional optimization routines take advantage of these demand curves to determine the optimum recommended price.
The expected benefits impact on two main performance indicators: margin and profit.