Utilities

Utilities Features. These include features on utility bills mostly electricity etc. They are returned in the nigeria/features/utilities endpoint.Definitions of these features generated by Pngme are:

FeatureFeature DefinitionUse CaseValue PropositionReturn Value
count_utilities_events
_{t0_days}_{t1_days}
The number of SMS received indicating that the user engaged in
spending through utilities, where utilities are broken down into general utilities spending, airtime, energy, housing, _kplc, **_internet, and water** events. 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.
• Enhance customer engagement and retention by enabling customers to
track their spend and usage patterns across different utility events in order
to manage consumption.
• Improve customer satisfaction by recommending platforms that provide
ease of payment for utility bills
• Improve data quality and reliability by using SMS data as a source of truth for
verifying utility events of customers.
This feature may be indicative of individuals who earn
regularly and possess sufficient
resources to cover short-term bills monthly or weekly. Such
individuals are likely to be relatively stable financially, as evidenced
by their consistent bill payments.
• Understanding a user’s activity related to utilities events can help
tailor marketing strategies and develop products that cater
to this specific customer segment.
{int, null}
count_energy_events
_{t0_days}_{t1_days}
The number of SMS received indicating that the user engaged in
spending through energy/electricity. 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.
• Enhance customer engagement and retention by enabling customers to
track their spend and usage on electricity events in order
to manage consumption.
• Improve customer satisfaction by recommending platforms that provide
ease of payment for electricity bills
• Improve data quality and reliability by using SMS data as a source of truth for
verifying utility events of customers.
This feature may be indicative of individuals who earn
regularly and possess sufficient
resources to cover short-term bills monthly or weekly. Such
individuals are likely to be relatively stable financially, as evidenced
by their consistent bill payments.
• Understanding a user’s activity related to utilities events can help
tailor marketing strategies and develop products that cater
to this specific customer segment.
{int, null}
sum_of_utilities_debits
_{t0_days}_{t1_days}
The sum of debits indicating that the user engaged in
spending through utilities, where utilities are broken down into general utilities spending, airtime, energy, kplc, housing, internet, and water bill spends. 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.
• Enhance customer engagement and retention by enabling customers to
track their spend and usage patterns across different utility events inorder
to manage consumption.
• Improve customer satisfaction by recommending platform that provide
ease of payment for utility bills
• Improve data quality and reliability by using SMS data as a source of truth for
verifying utility events of customers.
This feature may be indicative of individuals who earn
regularly and possess sufficient
resources to cover short-term bills monthly or weekly. Such
individuals are likely to be relatively stable financially, as evidenced
by their consistent bill payments.
• Understanding a user’s activity related to utilities events can help
tailor marketing strategies and develop products that cater
to this specific customer segment.
{float, null}
sum_of_energy_debits
_{t0_days}_{t1_days}
The sum of debits indicating that the user engaged in
spending through energy/electricity bill spends. 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.
• Enhance customer engagement and retention by enabling customers to
track their spend and usage on electricity events in order
to manage consumption.
• Improve customer satisfaction by recommending platforms that provide
ease of payment for electricity bills
• Improve data quality and reliability by using SMS data as a source of truth for
verifying utility events of customers.
This feature may be indicative of individuals who earn
regularly and possess sufficient
resources to cover short-term bills monthly or weekly. Such
individuals are likely to be relatively stable financially, as evidenced
by their consistent bill payments.
• Understanding a user’s activity related to utilities events can help
tailor marketing strategies and develop products that cater
to this specific customer
{float, null}