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Customer churn - or attrition - measures the number of clients who discontinue a service (cellphone plan, bank account, SaaS application...) or stop buying products (retail, e-commerce...) in a given time period. Churn rate is an important business metric as it reflects customer response to service, pricing, competition... As such, measuring churn, understanding the underlying reasons and being able to anticipate and manage risks associated to customer churn are key areas for continuous increase in business value.
Churn patterns hide deeply complex behaviors. With DSS’s ability to handle large varieties of data sources and formats, you will be able to add new sources and signals, hence more features to your churn models, ultimately improving them for significantly optimized results.
Getting and cleaning Data : Data Science Studio's advanced data wrangling features will facilitate the combination of structured (CRM, web analytics...) and unstructured (emails, calls...) data sources to get a 360° view of your clients.
Predictive Modelling : whether you are building an automated decision system or trying to understand the underlying mechanisms of churn, DSS will let you use and compare a broad range of algorithms, from simple linear models to complex ensemble methods, and build the best solution for your needs.
Deploying a Data Product : with DSS's model deployment and data flow automation features, you will be able to go quickly from a model to a business application. From creating dashboards to feeding databases or marketing tools with scores and predictions or deploying a model on a API to be queried in real time by sales teams, all applications developped in DSS can be production ready.
Coyote worked with Dataiku to conduct behavioral analyses on their clients' usage of the Coyote mobile application. Data Science Studio was instrumental in combining and cleaning anonymized user data and real-time device data and create features to be used in the modeling: app usage, mileage, time spent on road, number of alerts, …
As a result, Coyote was able to segment users and score potential churners to optimize sales and marketing campaigns, increasing conversion rate of outbound calls by 11% and significantly improving the efficiency of data management activities.
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