Entertainment

Entertainment Features. These features include spotify subscriptions. They are returned in the zambia/feature/entertainment endpoint.Definitions of these features generated by Pngme are:

FeatureDefinitionUse CaseValue PropositionResponse value
count_dstv_events
_{t0_days}_{t1_days}
The number of SMS received indicating that the user engaged in
spending to dstv. The counts are summed over a period of t0 to t1 days history prior to the prediction date, where the time windows are 0-30, 31-90, or 0-90 days.
• Improve customer satisfaction and loyalty by offering easier payment to dstv.
• Enhance customer engagement and retention by offering tailored product
recommendations
• Improve data quality and reliability by using SMS data as a source of truth
• This feature may be indicative of an individual’s spending capacity
Indicates disposable income and entertainment preferences
• Understanding a user’s activity related to subscriptions and entertainment can help
tailor marketing strategies and develop products that cater
to this specific customer segment.
{int, null}
count_spotify_events
_{t0_days}_{t1_days}
The number of SMS received indicating that the user engaged in
spending to spotify. The counts are summed over a period of t0 to t1 days history prior to the prediction date, where the time windows are 0-30, 31-90, or 0-90 days.
• Improve customer satisfaction and loyalty by offering easier payment to subscriptions rewarding their loyalty and encouraging repeat purchases.
• Enhance customer engagement and retention by offering tailored product
recommendations
• Improve data quality and reliability by using SMS data as a source of truth .
• This feature may be indicative of an individual’s spending capacity
Indicates disposable income and entertainment preferences

Signals digital engagement
• Understanding a user’s activity related to subscriptions and entertainment can help
tailor marketing strategies and develop products that cater
to this specific customer segment.
{int, null}
sum_of_dstv_debits
_{t0_days}_{t1_days}
The amount of money a customer has spent on DStv subscriptions over a defined period. The debits are summed over a period of t0 to t1 days history prior to the prediction date, where the time windows are 0-30, 31-90, or 0-90 days.• Improve customer satisfaction and loyalty by offering easier payment to dstv.
• Enhance customer engagement and retention by offering tailored product
recommendations
• Improve data quality and reliability by using SMS data as a source of truth.
• This feature may be indicative of an individual’s spending capacity
• Understanding a user’s activity related to subscriptions and entertainment can help
tailor marketing strategies and develop products that cater
to this specific customer segment.
{int, null}
sum_of_spotify_debits
_{t0_days}_{t1_days}
The amount of money a customer has spent on spotify. The debits are summed over a period of t0 to t1 days history prior to the prediction date, where the time windows are 0-30, 31-90, or 0-90 days.• Improve customer satisfaction and loyalty by offering easier payment to subscriptions rewarding their loyalty and encouraging repeat purchases.
• Enhance customer engagement and retention by offering tailored product
recommendations
• Improve data quality and reliability by using SMS data as a source of truth for
verifying ecommerce activities of customers.
• This feature may be indicative of an individual’s spending capacity
• Understanding a user’s activity related to subscriptions and entertainment can help
tailor marketing strategies and develop products that cater
to this specific customer segment.
{int, null}