Newsletter - July '08
|
|
Spreadsheet Tips - Presenting Website Statistics from Google Analytics.
Part 2 of 3.
|
Continuing our collaboration with
Branch Out
Internet Marketing on extracting, compiling and understanding
website statistics, this month we look at which
Referring sites are bringing you the most traffic and the most
business. It is not always whom you expect. This series of
newsletter spreadsheet tips comes with a free download, the
Google
Analytics Spreadsheet Tool. Remember to scan it just in case.
|
|
|
Clients often ask about paying for listings on other websites.
There are many things to consider before you enter into this type
of agreement. It would take too long to cover them all now but please
contact Working Data or
Kate
if you would like guidance. If you do decide
to go ahead and pay for placement on another site, it is really
important that you monitor the results. If the links are not bringing
enough traffic, or the visitors are not staying for long on your site,
it is time to go back to the site owner and discuss your position.
Even if you are not paying for your referrals, it is useful to know
which sites are bringing you the most traffic and which visitors like
your site enough to visit lots of pages. You can then try to boost
your site activity by looking for similar sites where you could also
get links.
So that’s why monitoring your referrals matters; now here’s how you do it…
|
|
|
Preparing Website Statistics from Google Analytics for presentation.
|
|
|
Step 1: Extract the data from Google Analytics.
|
|
|
Log in to your Google Analytics account and bring up the dashboard.
See Fig 1.
|
|
| Fig 1 |
|
|
|
Click on Traffic Sources, then Referring Sites, as in Fig 2.
|
|
| Fig 2 |
 |
|
|
Now we set the date range. We will look at data concerning
Referrer Sites on a quarterly basis. In this example, we will
use the 1st of July to the 30th of September, 2007. See Fig 3.
|
|
| Fig 3 |
|
|
|
Below the timeline, we now click on the tab named Goal Conversion,
as in Fig 4.
|
|
| Fig 4 |
|
|
|
We want to sort the results by Goal Conversion Rate.
Click on Goal Conversion Rate, so that the arrow is pointing
downwards, as in Fig 5. This means that the results are sorted in descending
order and we will have the highest results at the top.
|
|
| Fig 5 |
|
|
|
At the bottom of the screen, click on the pull-down menu
for 'Show Rows', and select 25, as in Fig 5b.
|
|
| Fig 5b |
|
|
|
We are now ready to export the data. Below the title of the graph, click on
"Export". This will open a small sub-menu, select "CSV". See Fig 6.
|
|
| Fig 6 |
|
|
|
A dialogue box will open asking if you want to open or download. Open in Excel. See Fig 7.
|
|
| Fig 7 |
|
|
|
The downloaded data will open in a spreadsheet, as in Fig 8.
|
|
| Fig 8 |
|
|
|
Scroll down the screen, beyond the single column of data, until
you get to the table of data, see Fig 9. This is the data we will
copy and paste into our
Google Analytics Spreadsheet Tool.
|
|
| Fig 9 |
|
|
|
Copy the data from the first two rows, named 'Source'
and 'Visits', as in Fig 10.
|
|
| Fig 10 |
|
|
|
Now we turn to the Spreadsheet Tool. In the tab named
'referrer_data', go to the 1st Quarter and paste the data
into the first two columns, also named 'Source' and 'Visits'
as in Fig 11.
|
|
| Fig 11 |
|
|
|
Go back to the spreadsheet with the Google Analytics data
and copy the data for two of your goals. In this example,
we have selected 'Goal 2' and 'Goal 3', as in Fig 12.
|
|
| Fig 12 |
|
|
|
Paste these into the columns marked 'goal 1' and 'goal 2' in the
Spreadsheet Tool. The titles 'goal 1' and 'goal 2' can be changed
in the Spreadsheet Tool to their proper names. We are using the names
'goal 1' and 'goal 2' here as an example.
|
|
| Fig 13 |
|
|
|
Go back to the Google Analytics spreadsheet and copy the
data from the column named 'Goal Conversion Rate',
as in Fig 14.
|
|
| Fig 14 |
|
|
|
Paste this into the column with the same name in
the Spreadsheet Tool, as in Fig 15.
|
|
| Fig 15 |
|
|
|
In the final step, go back to the Google Analytics spreadsheet
and copy the data from the four columns named
'Pages/Visit', 'Avg. Time on Site', '% New Visits' and
'Bounce Rate', as in Fig 16.
|
|
|
Fig 16.
|
|
|
|
|
Paste this into the remaining four columns,
of the same name, in the Spreadsheet Tool, as in Fig 17.
|
|
| Fig 17 |
|
|
|
That completes all the work required for the 1st Quarter
results. Repeat the above steps for the remaining
three quarters, pasting the data into the relevant section
in the 'referrer_data' worksheet.
All your data has been automatically converted into graph form.
|
|
|
Step 2: Interpreting the graphs.
|
|
|
Kate Barlow, of
Branch Out
will now take you through the Quarterly graphs and explain
their signifance to your website, and ultimately your business.
|
|
|
Visits by Referrer - (ref_q1_visits for 1st Quarter), Fig 18.
|
|
|
We often get excited about seeing lots of visitors from our referring
sites but, on its own, this is not a very meaningful. The important
thing is to find out whether or not these are the right visitors.
Are they ones who will become your profitable customers? For those
people who track goals and conversions on their sites, contact
Working Data
or
Branch Out
and we will be happy to advise you on
the best way to analyse this information.
|
|
|
If you do not use goals on your website, typically because
you offer a service and do not have online sales, we suggest
that the number of pages visited and the time people spend on
your site give a very good measure of their interest in your
site. Your ideal referrer is one who sends lots of traffic and
all the visitors spend a long time looking at lots of pages on
your site.
|
|
| Fig 18 |
|
|
|
Average Time on Site by Referrer - (ref_q1_avg_time for 1st Quarter), Fig 19.
|
|
|
|
|
| Fig 19 |
|
|
In reality, sometimes people do not look at lots of pages even
if they spend a lot of time on your site. If this is what you
notice on your site, you should probably investigate which
pages they are visiting and consider what type of content you
offer your visitors on those pages. If your most popular pages
are content-rich and long, you might find that people only look
at a couple of pages but the information grabs their attention
and they spend a considerable amount of time examining it.
If this is the case, it is a good indication that they like
what they are seeing. What you need to do is make sure that
these pages contain a clear "call to action" to encourage people
to print the page, email to a friend or contact you for more information.
|
|
|
|
% New Visits by Referrer - (ref_q1_new_visits for 1st Quarter), Fig 20.
|
|
|
The number of visits by referrer is worth examining as it may
help you to identify undesirable inbound links. For example,
if you find you get visitors from a site which is unknown to you,
it makes sense to have a look at it and ensure that it is a site
which supports your brand and is aimed at your target market.
If you don’t like the site, contact the site owner and ask him/her
to remove the link. It is your right to have the link taken down
so don’t be put off by someone who says that it can’t be done.
|
|
| Fig 20 |
|
|
|
Bounce Rate by Referrer - (ref_q1_bounce for 1st Quarter), Fig 21.
|
|
|
When a visitor comes to your site and then leaves without visiting
any other pages, it suggests that your content did not ‘grab’ their
attention. If your bounce rate is above 25%, it is worth reviewing
a couple of things. The first question to ask is: ‘Is it likely
that the referring site is sending me the right sort of traffic?’
(the right sort of traffic usually being your potential customers).
If you are confident that the answer is yes, ask yourself ‘Does the
page they first see when they get to the site appeal to them?’ Be
honest with yourself and be critical too. If the content is right,
do you have enough calls to action? If the content does not appeal to
them, you either need to update the content on that page or consider
whether a different page on the site would be more interesting to the
visitors sent by that referrer. If your bounce rates are reasonably
good for your other referring sites, it suggests that either the referrer
is sending the wrong people or you need to send the traffic to a
different page on the site – or even create a new page for that
particular audience.
|
|
| Fig 21 |
|
|
|
There are many things to consider when you review how effective your
referring sites are and we have only covered the broadest and most
common issues in this newsletter. We hope this will give you a good starting
point for identifying your top referrer and for making any changes that
you need to make your referrals more valuable to your business. For
further information or a more detailed analysis, please contact
Kate or Franc.
|
|
|
back to top |
|
|
|
|