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Overview of Statistics
module: The Statistics Module will quickly help identify missing
data in your lists, simply and effectively. This can be great for
finding out how much of your data is fully populated (eg. How many
missing names or postcodes exist on your list, how many contacts
have missing email addresses?,etc). Fully populated name and address
details is crucial for effective marketing, and this module will
help with that. Featuring a score table and score graph, you will
be able to quickly view how many records in your list/s have been
populated and not been filled in. This module alone could potential
save you money on wasted postage (contacts with missing name and
address details).
A quick 6-step guide
into using the Statistics Module:
Step 1: After importing
your list, click the 'Clean' button, as shown below.
Step 2: All the columns
will be automatically transferred into the 'Selected Columns', but
you can alter this if you wish. Simply then select either the 'Populated
Cells' or 'Empty Cells' option from the pull-down menu, as shown
below.
Step 3: By clicking
the 'Chart Type' option box, you can select 4 different charts that
will higlight the results.
Step 4: Understanding
the Results - Take a look at the results grid, highlighted below.
Because we selected the
'Populated Cells' option, we can see that the column 'FirstName'
has a score of 100%, which means every record in the 'FirstName'
column has been filled. Now, lets take a closer look at the 'Surname'
column, which has a score of 88.24%. How do you view all the records
that have been populated? Well, the answer is simply to double-click
on the column name.
Step 5: As we double-clicked
on the 'Firstname' column, this will then automatcially filter the
data, to show all the records that have 'populated cells' within
the 'Surname' column. You are now free to view/edit/delete your
data list. Suppose now you would like to see the records that have
not been filled in on this ;Surname' column. Click 'Clean' button
at the top-righ to go back onto the 'Statistics Module.
Step 6: Simply choose
'Empty Cells' and then click 'Refresh'. You will now see that the
'Surname' score is now 11.76%, which indicates that there are a
number of records that have not been entered. As before, double-click
the column name on the score table to filter the records, of which
then you can enter the missing records.
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