next_best_action

R

### Import libraries

library(ChannelAttributionPro)
options(max.print=100)

### Get a password filling in the following form:
https://app.channelattribution.io/form/form.php

### Set your password

password="mypassword"

### Load data

Data = read.csv("https://app.channelattribution.io/data/Data.csv",sep=";")
print(Data)

### Train the model

Params=next_best_action_train(Data, var_path="path", var_conv="total_conversions", var_null="total_null", row_sep=";", cha_sep=">", password=password)

print(Params)

Params is a data.frame containing all the conversion rates estimated using a combination of Markov models.
Params can be stored and used to predict next best action given a path

### Predict next best action for a given path


new_path="beta > alpha"
res=next_best_action(new_path,sep=">",Params=Params,password=password)

print(res)

#res contains the suggested next action, its conversion rate and the conversion rates for all the available actions