Account Types

The provided data listed the following types of client accounts. These same categories are used throughout this dashboard and are abbreviated as follows:

  • AFD: Active Free Direct
  • AFFP: Active Free from Paid
  • AFFT: Active Free from Trial
  • ARD: Active Reoccurring Direct
  • ARFF: Active Reoccurring from Free
  • ARFU: Active Reoccurring from Upgrade
  • ARFT: Active Reoccurring from Trial
  • TNC: Trialing with No Credit Card
  • This dashboard is a work in progress exploration of data provided by Arel Moodie.

  • At our initial meeting, Arel Moodie expressed an interest in gaining a better understanding of the Talkadot.com client base with respect to the following questions.

    1. What do the top users of the active (paid) option have in common?

      • The goal is to get better understanding of their ‘ideal customer profile’ by investigating these questions.

      • How much do ‘top users’ speak?

      • How much do ‘top users’ get paid?

      • What are the total number of submissions of ‘top users’?

    2. Is it possible to determine the precipitating event that motivates someone to transition from the free to the active (paid) option?

      • How long do top users use the service for free before opting to become paid subscribers?

      • Note that the provided data indicate when someone first created their account, and when they last signed in, but there is no date information for account changes.

Plans for Next Talk Notes:
  • This plot examines the number of clients with each account type with respect to their planned next talk.

  • Account holders in the ‘Active Free from Trial’ category show substantially more activity than other client categories.

  • Clients in the ‘Active Free Direct’ category also show activity that can be built upon.

Number of Talks/Year Notes:
  • This plot examines the number of clients with each account type with respect to their stated number of talks per year.

  • Account holders in the ‘Active Free from Trial’ category show substantially more activity than other client categories.

  • These data also include a lot of missing values due to non-response.

  • Note that ‘DNY’ is the abbreviation for “Don’t know yet, I’m just getting started!”

Audience Size and Highest Compensation Notes:
  • The plots on this page show the distribution of the self-reported audience size and highest compensation for the difference client categories.

  • Both of these variables include negative numbers and extremely high values which may not be accurate.

  • For both of these variables, data are plotted on the natural log scale to be more informative.

    • That means the subtle differences in the plot are actually very substantial, e.g. $1,000 vs. $10,000.
  • Clients in the ‘Active Reoccurring from Upgrade’ cateogory appear to have larger audiences and higher total compensation than other categories.

Submissions, Events, Offers, and Leads Notes:
  • The following four plots show the distribution number of submissions, events, offers, and leads for the different client categories.

  • These four variables contain a lot of zero values with a some high outliers so data are plotted on the natural log scale to be more informative.

    • That means the subtle differences in the plot are actually very substantial, e.g. 1,000 vs. 10,000 total submissions.
  • Clients in the ‘Active Reoccurring from Upgrade’ cateogory appear to have more submissions, events, offers, and leads, on average.

Account Time and Dormancy Notes:
  • These two plots examine the distribution of the length of time clients in each category have had an account with Talkadot.com and the distribution of dormancy times.

  • These variables are created using today’s date and will be updated each time this dashboard is rendered.

  • Note that for ‘Dormancy’ lower is better. The two categories with the most substantial levels of dormancy are ‘Active Free Direct’ and ‘Active Free from Trial’ followed closely by ‘Active Free from Paid.’

This dashboard was created by Penelope Pooler Eisenbies using Quarto in RStudio, and the R Language and Environment.

The data used to create this dashboard were provided by Arel Moodie from

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