Consumer Behavior Predicting
Anticipate market trends that will change consumer behavior.
Predict User Behavior to Promote the Market Place
Predicting customer behavior on marketplaces to anticipate the evolution of the competition's prices and thus proposing results that meet the users' needs can increase user loyalty and promote more sales .
Predict Consumer Energy Consumption
Use Machine Learning to provide better visibility into your customers' energy spending to encourage energy savings.
Anticipate the churn risk
Churn prediction or churn risk prediction is a process of understanding the probability of a customer cancelling a subscription, in order to improve retention and increase revenue.
Why do we need consumer behavior predicting ?
Predicting consumer behavior can reduce customer churn, identify and target the high-value customers, encourage retention, satisfy customer demand, deliver products to market quickly, reduce marketing campaign spend, and personalize the customer experience to improve the customer journey.
How does Datategy's solution improve consumer behavior predicting ?
As part of the development of an application dedicated to end-users, we helped our client to set up a report on the energy consumed, in order to encourage energy savings.
With the help of Datategy, our client now has access to:
- A visualization of the energy consumption in real time
- Energy coaching implemented using predictive models
- Detection and prediction of sudden changes in energy consumption
- An alert system to report abnormal consumption
Use papAI to provide reliable forecasts for these objectives
Smoothing of consumption
Visualize the energy consumption according to the breakdown by use and identify which consumption is the most important. Propose an energy coaching to anticipate its consumption.
Prevention of churn
Create new offers according to consumption peaks: off-peak hours, consumption during the weekend