I would like to include the number of sales representatives and sales assistens in my sales process as a factor that influences revenue. How can I do that? # Number of Sales Assistants (Appointment) and Number of Sales Representatives (Conversion)number_of_sales_assistants <- 10 # Sales assistantsnumber_of_sales_representatives<- 5 # Sales representatives#Sales process based on binomial distribution#Basic sales process#Leadsleads <- rbinom (1, target_group, lead_rate)total_lead_cost <- leads * lead_cost#Appointmentsappointments <- rbinom(1, leads, appointment_rate_assistant)total_appointment_cost <- appointments* appointment_cost#Conversionsconversions <- rbinom (1, appointments, conversion_rate_representative)total_conversion_cost <- conversions conversion_cost*# Revenuerevenue <- conversions * average_order_value_new# Coststotal_costs <- total_lead_cost + total_appointment_cost + total_conversion_cost# Profitprofit <- revenue total costs

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I would like to include the number of sales representatives and sales assistens in my sales process as a factor that influences revenue. How can I do that?

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Question

I would like to include the number of sales representatives and sales assistens in my sales process as a factor that influences revenue. How can I do that?

# Number of Sales Assistants (Appointment) and Number of Sales Representatives (Conversion)
number_of_sales_assistants <- 10 # Sales assistants
number_of_sales_representatives
<- 5 # Sales representatives
#Sales process based on binomial distribution
#Basic sales process
#Leads
leads <- rbinom (1, target_group, lead_rate)
total_lead_cost <- leads * lead_cost
#Appointments
appointments <- rbinom(1, leads, appointment_rate_assistant)
total_appointment_cost <- appointments* appointment_cost
#Conversions
conversions <- rbinom (1, appointments, conversion_rate_representative)
total_conversion_cost <- conversions conversion_cost
*
# Revenue
revenue <- conversions * average_order_value_new
# Costs
total_costs <- total_lead_cost + total_appointment_cost + total_conversion_cost
# Profit
profit <- revenue total costs

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