mail.subject: Analyzes email subjects in the context of read metrics and...

In bziomek/mktinsight: Tool for Contextual Analysis of Email Subjects

Analyzes email subjects in the context of read metrics and contact seniority

Description

mail.subject returns a data frame of extracted email subject topics, their estimated odds ratios of the email being read, and key words associated with each topic

Usage

mail.subject(subjects, readflag, jobtitles = NULL, minmails = 2,
  outputrows = NULL)

Arguments

subjects	Vector of strings of email subjects
readflag	Vector of 1s and 0s representing if an email has been read or not
jobtitles	Vector of strings that is the job title of the email recipient (optional)
minmails	Integer corresponding to the minimum instances of a subject line that will be included in the analysis (optional, default 2)
outputrows	Integer, the number of rows of email topics that should be output (optional, defaults to outputting the entire data frame of results).

Details

This function can evaluate the effectiveness of email subjects in attracting readers either for an entire group of contacts, or based on the recipients' seniority levels. It can effectively predict contact seniority based on their titles with reasonable accuracy and uses dependency parsing to extract the topics and tone of email subject lines. The function then analyzes them in the context of their relative success at attracting readers. It outputs a data frame of extracted topics, their effectiveness (as measured by odds ratios of the email being read if it includes that topic), and words associated with that topic, to guide future email creation. Leverages titlesort to predict seniority, and does not need to be used at the same time as that function.

Value

If outputrows is omitted or NULL, returns a data frame of all distinct extracted topics, along with their odds ratios and associated words. If outputrows is specified as integer n, returns a dataframe with n rows for both senior and junior title classes. If jobtitles is specified, also includes a column denoting a contact's predicted seniority, with 1 as senior and 0 as junior.

Examples

mail.subject(mail$subjects, mail$read, jobtitles=mail$titles, minmails=5, outputrows=10)
mail.subject(mail$subjects, mail$read)

bziomek/mktinsight documentation built on Jan. 5, 2023, 12:18 a.m.