Skip to contents

Simulated quarterly Net Promoter Score for three client segments (Enterprise, Mid-Market, SMB) across 12 quarters (2022-Q1 through 2024-Q4). Suitable for line-chart demos with last-point labels and fmt_delta() / fmt_pct().

Usage

client_nps

Format

A data frame with 36 rows and 4 columns:

quarter

First day of the calendar quarter (Date).

segment

Factor with 3 levels: Enterprise, Mid-Market, SMB.

nps

Net Promoter Score, integer in [-100, 100].

responses

Number of survey responses in the period (integer).

Source

Synthetic data generated by the ggconsulting authors. It does not describe real clients, survey respondents, or survey results. See data-raw/client_nps.R.

Examples

head(client_nps)
#> # A tibble: 6 × 4
#>   quarter    segment      nps responses
#>   <date>     <fct>      <int>     <int>
#> 1 2022-01-01 Enterprise    63        93
#> 2 2022-01-01 Mid-Market    39       268
#> 3 2022-01-01 SMB           30       915
#> 4 2022-04-01 Enterprise    65       110
#> 5 2022-04-01 Mid-Market    45       255
#> 6 2022-04-01 SMB           30      1234