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Title grab you did it?  That’s a common thing I am hearing from my customers coming off the holiday shopping season.  Well maybe not in those exact words, but here is what I am hearing starting off this new year…

“My traffic is way down on my site, what is going on?”  or “You are not doing what you said you’d do in marketing my web site.”

First of all… acknowledging that site traffic is down in December is only part of the picture.  The common misconception in using Google Analytics that I encounter with my clients is that they look at small snapshots of data without any reference to past trends and make major assumptions about their website’s overall performance.  In some circumstances that may be correct, however people tend to panic when perhaps they see a drop in traffic without looking at the big picture.

To many, this topic is seemingly adolescent – this being basic knowledge of using Analytics – but I write this for the small business guy who gets worried at the slightest change in traffic who maybe has a bit of tunnel vision.

So when you say to me – you suck – I say to you – chill out and consider this.

Yes – for sure your traffic was down in December of 2009 from November of 2009 – BUT your traffic is up 30% in December 2009 compared to your traffic in December of 2008.  Additionally, your site may have less traffic than last month, but of that less traffic, you converted more of it than you did last year.  Are you following me?   Here are a few graphs to demonstrate:

Comparing Traffic Trends Year Over Year

Comparing Traffic Trends Year Over Year

The green line above is showing site visits in 2008, and the blue shows site traffic in 2009.  This specific business typically has cycles of higher traffic and the traffic trends for the two years compared are almost identical, the only difference:  the average increase for each month compared to the previous year is up an average of 30%.  So while the traffic was down in December of 2009, it was still up from this time last year.

Next – take a look at your goal conversions:

Goal Conversion Comparison Year Over Year

Goal Conversion Comparison Year Over Year

Again – green is 2008 – so for this period of time, there was clearly an increase in site traffic conversions (completed goals) over the previous year.  This is a great measure of success for a site if the goals are meaningful and can be associated with revenue.

google_analytics_comparative_data_date_range

You can check the year over year comparisons (or even month over month) on a variety of data points using Google Analytics like Bounce Rate, Exit Rate, Page Views and more.  Simply select the “Compare to Past” option (shown here) when selecting your date range.  By default it will prefill the past date range to the previous period of time just before the current date range selected (so if I’ve selected a 30 day period it will default to the previous 30 days).

Usually by this time, the customer has calmed down and understands that their site has common trends when you compare specific time ranges over previous years.  Furthermore, when they see the increase in conversions they feel better.  One would think they’d be more aware of the conversions and revenue generated by their website – but in reality – many small business are a ‘one man shop’ and their method of tracking revenue is generally somewhat antiquated.

So I encourage you – the small business owner to have all the information before making any assumptions, and if you have a dedicated Internet Marketing Strategist – be sure to ask the right questions.

BTW if you are not yet using Google Analytics on your website – you should be.  There is so much to learn if you only listen to what your web site has to say.

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Google Analytics Tip for this week.  Use the filter tools to exclude traffic from certain IP addresses to your Analytics reports to get a better (and more realistic) picture of your web site’s traffic. Here are few key things to remember when doing this, and some basic Google Analytics set up instructions.

google_analytics_logo

Filtering IP addresses can be a useful tool if you are working with a 3rd party web developement or internet marketing firms.  You will want to filter out specific IP address, as chances are your internet vendors/partners may access your site often.  In addition, you may want to filter out your own company’s IP address so you are not tracking internal visits to your site.  If your staff is using your website as a sales tool, or every employee has your website set as their default home page in their web browser, this can skew your web’s traffic and visitors data.

REMEMBER: If you apply a filter to an account, the information that get’s filtered out of your Analytics web reports cannot be retrieved. Filters delete the filtered data.  You will want to create a duplicate profile for your website in Analytics and leave one profile completely unfiltered to maintain all of your web stats in one profile, and then apply filters to additional profiles to segragate your information.

Under the Analytics Settings screen, once you have created your main profile, you can create a duplicate profile to apply your filters by clicking on “Add A Profile” and then entering the same domain setup information.   (Your tracking code should already be installed if you have successfully created your main profile.)    Tip:  When you name the duplicate profile name it something that will help you easily distinguish what you are filtering.  For example a profile with IP filtering might be “Profile Name – Filtered IPs”.

Once you’ve got your duplicate profile set up, you can now apply your filters.  From your Analytics Setting screen, select the profile you want to filter, and click on “Edit”.

Click on “+ Add Filter” (shown below).

apply_google_analytics_ip_filterOn the filter setup screen you’ll name your filter, and select “Exclude all traffic from an IP address” (shown below).  If you need help finding your IP address, use http://iplocation.net.

google_analytics_ip_filter_setup

I hope you find this information helpful.  You might be suprised how much internal traffic is being logged for your site, giving you a false sense of a high traffic web site.  Additionally, this IP filter will give you a much better sense of your top performing site pages, and your page specific bounce rates.

Good luck and happy web analyzing!

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