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Customer Churn Prediction [deprecated]

Available since: v1.0.0

These special export contains data intended for use with Machine Learning system that can identify customer churn patterns.

predict_yyyy_MM_dd.csv contains all active user subscriptions that should be run churn prediction on for identifying possible needed winback actions.

training_yyyy_MM_dd.csv contains a snapshot of all active and historic users for Machine Learning use to identify churn patterns.

The actual churn prediction and possible winback actions are done via 3rd party integrations and require additional service agreements. Please contact your Vimond Account Manager for more details.

FileFrequency
/churn/predict/predict_yyyy_MM_dd.csvDaily
/churn/training/training_yyyy_MM_dd.csvWeekly
AttributeValueDescription
CUSTOMERIDNUMBERForeign key for Users
GENDERNUMBER
AGENUMBER
TOWNCODEVARCHAR
STATECODEVARCHAR
COUNTRYVARCHAR
PHONENUMVARCHAR
MOBILENUMVARCHAR
MAINDEVICEVARCHARMain device used for watching
N_ACTIVEDAYSNUMBERNumber of days in total that user has watched a video
TENURENUMBERNumber of days since signed up
RECENCYNUMBERNumber of days since last video view
SUBSCRIPTIONPERIODNUMBERNumber of renewed subscription periods
PAYMENTMETHODVARCHAR
TOTALCHARGENUMBERPrice paid for current subscription
PRODUCTNAMEVARCHARName of current subscription
AUTOSUBSCRIPTIONY or NFlag indicating if the subscription is set to auto-renews
N_SUBSCRIPTIONEXPIRYNUMBERNumber of days until subscription expires
D_STARTSUBSDATEState date of current subscription
D_ENDSUBSDATEEnd date of current subscription
TYPEVIEWLIVE or VODType of video last watched
USER_CHURN0 or 1Flag indicating if user has churned or not