Companies
that using gender segmentation in email marketing are increasing their open
rates by over 25%, conversion rates by over 50% and revenue by over 60%. When
gender segmentation is done right – it can do wonders for your business
numbers.
Email
marketing requires a strategy that accounts for many different factors that
help to personalize the content based on user’s demographics, acquisition
channel, login history and other. Most marketers look at typical data such as
geo location, previous order history, acquisition channel. However gender
marketing segmentation is being frequently overlooked.
The
data reveals that men and women not only react differently to the same content
(which explains difference in conversion rates) but also consuming this content
at different time of the day, different day of the week, for different periods
of time. These differences should be analysed to and used to improve marketing
campaigns and empower better
segmentation.
Few
interesting characteristics to demonstrate difference in male and female email
consumption behaviours are:
1. Men tend to open their email between 4AM and
12PM, while women, on the other hand, tend to check their email throughout the
day, between 10AM and 9PM
2. The data shows that men open their emails
more frequently than women
3.
66% present of women open up majority of their emails once per day, compared to
57 present of men
4.
Men are more likely to open over the weekend while Women are checking their
email more frequently during the week
There
are many different tools that will help to determine gender of your list. One
of the easiest and most reliable is list of names by gender provided by
NameGenderPro.com. NameGenderPro collected
over 177k first names categorized by gender from official data sources such as
US Census, UK Census, Australia, Canada and etc. They have the largest
available name gender list that you can own for a reasonable price that starts
at $74. One you download the list (which is essentially a csv file with Name
and Gender columns) you can cross check this list against your own database and
start gender segmentation in less than 10 minutes.
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