How much did each of my advertising channels contribute to my company's sales?
That's the question a good marketing director should ask himself every day. The answer could be simple, except that our client might have seen our brand on television a year ago, then in the newspaper while he was at the beach and last but not least, after he found it as Facebook advertising, he clicked and bought it.
How did these channels and campaigns influence his choice?
Churn analysis is a predictive analysis that can identify customers who are more likely to leave a brand, product or service. The aim is to neutralize such behaviours, intervening in advance, through the controlled and precise application of customer retention strategies.
The use of our model allows the analysis of the multiple information available on customers, ensuring the company to monitor in real time the level of customer satisfaction and plan actions to increase it.
Churn Analysis by Divisible is also the ideal tool to simulate the impact of abandonment on revenues.
• Increased profits: analysing the churn rate and identifying where your customers are likely to leave provides significant guidance on what loyalty activities to develop to create positive experiences and increase brand supporters.
• Product and Service Optimization: churn analysis provides companies with an accurate prediction of customer preferences; the valuable information available helps to optimize existing products or create a new one.
Analysis and prediction of the churn rate are not the same thing!
Our Churn Prediction model measures the probability of a particular client abandoning, and therefore allows you to plan and implement corrective activities in advance.
If there is one last moment when something can still be done... we've done it a moment before.