uam

R

library(ChannelAttributionPro)

token <- "yourtoken"

df_aggr <- read.csv("https://app.channelattribution.io/data/data_aggregated.csv", sep = ";")

D_variables <- list(
  conversions = "target",
  A = "channel_a",
  B = "channel_b",
  C = "channel_c",
  D = "channel_d",
  E = "channel_e",
  F = "channel_f"
)

D_measures <- list(
  A = "clicks",
  B = "impressions",
  C = "impressions",
  D = "clicks",
  E = "clicks",
  F = "clicks"
)

res <- uam(
  df_aggr = df_aggr,
  D_variables = D_variables,
  D_measures = D_measures,
  df_paths = NULL,
  max_p = 12,
  nsim = 1000,
  seed = 1234567,
  verbose = 1,
  password = token
)

print(head(res))

With customer journey paths:

df_paths <- read.csv("https://app.channelattribution.io/data/data_paths_t.csv", sep = ";")

res <- uam(
  df_aggr = df_aggr,
  D_variables = D_variables,
  D_measures = D_measures,
  df_paths = df_paths,
  var_path = "path",
  var_conv = "total_conversions",
  var_null = "total_null",
  order = 1,
  sep = ">",
  verbose = 1,
  password = token
)

print(head(res))