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Success Case by Tekne
The credit department of one of our clients, a company in the Banking/Fintech industry, brings up the need to encourage consumption through credit cards, to obtain higher income, and achieve better customer retention, reducing the Churn Rate (dropout rate).
They have tried to do this with different strategies, but when trying, the following problems arose:
Therefore, it was necessary to achieve a better use of the data from their systems, and for this they aspired to:
After wotking with us, the company now has:
>> A standard application model for the detection of customer Churn (not consumption).
>> A standard application model for the detection of customer consumption recovery.
>> Predictive score for the analysis of customer consumption behavior and the establishment of profiles according to behavior.
>> Predictive score for carrying out campaigns aimed at customers with a higher probability of Churn.
>> Significant reduction of the Churn Rate.
>> Dashboards that make it possible to know the situation of the company in relation to the consumption with credit card of its clients and their probability of Churn and reactivation.
Would you like to have algorithms that can predict the behavior of your client portfolio?
Schedule a meeting with us and discover how to achieve it.