Data on the campaigns received by each household in the Complete Journey study. Each household received a different set of marketing campaigns.

campaigns

Format

A data frame with 6,589 rows and 2 variables

  • campaign_id: Uniquely identifies each campaign; Ranges 1-27

  • household_id: Uniquely identifies each household

Source

84.51°, Customer Journey study, http://www.8451.com/area51/

Value

campaigns

a tibble

Examples

# full data set campaigns
#> # A tibble: 6,589 x 2 #> campaign_id household_id #> <chr> <chr> #> 1 1 105 #> 2 1 1238 #> 3 1 1258 #> 4 1 1483 #> 5 1 2200 #> 6 1 293 #> 7 1 529 #> 8 1 536 #> 9 1 568 #> 10 1 630 #> # … with 6,579 more rows
# Join household demographics metadata to campaigns dataset require("dplyr") campaigns %>% left_join(demographics, "household_id")
#> # A tibble: 6,589 x 9 #> campaign_id household_id age income home_ownership marital_status #> <chr> <chr> <ord> <ord> <ord> <ord> #> 1 1 105 25-34 Under… Homeowner Unmarried #> 2 1 1238 NA NA NA NA #> 3 1 1258 45-54 75-99K Homeowner Unmarried #> 4 1 1483 19-24 Under… NA Unmarried #> 5 1 2200 45-54 Under… NA Unmarried #> 6 1 293 NA NA NA NA #> 7 1 529 NA NA NA NA #> 8 1 536 NA NA NA NA #> 9 1 568 NA NA NA NA #> 10 1 630 35-44 35-49K Homeowner Married #> # … with 6,579 more rows, and 3 more variables: household_size <ord>, #> # household_comp <ord>, kids_count <ord>