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Part 3 of our Understanding Website Analytics series is going to be brief. In this post, we’re going to quickly talk about just one Google Analytics report that can help you better understand your need (or lack thereof) for a mobile version of your website. Of course, we wouldn’t rely on this report alone to decide on the need for a mobile website, but it will tell you a few important things to help you make a good decision.

Google’s ‘Mobile Devices’ Analytics Report

In Google Analytics, go to Visitors – Mobile – Mobile Devices:

First, take a look at the the number of visits that mobile devices have sent and compare that number to the total number of visits that your website received during the same time frame. If a significant portion (or a significant number) of your visitors come via mobile devices, you may want to make sure that you’re providing sufficient support for mobile browsing:

Next, take a look at the most popular mobile devices that are used to access your website. Knowing what the most popular devices are can help you in making the decision between creating an application for a specific type(s) of mobile device(s) or just creating a more mobile-friendly version of your website. For example, if an overwhelming majority of your visitors are using the iPhone, an iPhone app may be a good investment. If there is a fairly even balance of all devices, building a more mobile-friendly website (which can be accessed by all mobile devices) may be a more efficient way to support your moblile visitors:

Lastly, consider the Bounce Rate and Pages/Visit of mobile users. While we’d expect bounce rates to be higher and pages/visit to be lower for mobile users on most websites, we’d still use these stats to keep a lookout for extreme stats such as exceptionally high bounce rates or low pages/visit ratios. Extremely high bounce rates or extremely low pages/visits can be an indicator that mobile visitors are having trouble loading or using your website:

The advancement of mobile devices/networks will certainly lead to an increased usage for web browsing and will also to an increased need to understand mobile browsing behavior. We’ll talk more about mobile visitors and Analytics in future posts in our website analytics series.


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Recently, I’ve tried to focus my blog entries on Analytics and more specifically, analyzing website Analytics data. In Part 1, I wrote about a simple process for determining the traffic value of your SEO campaigns. In Part 2, I want to talk about 3rd party data providers that tend to steer people, including web marketing professionals, in the wrong direction. Today’s post is geared toward understanding the value (or lack thereof) of traffic estimation websites like Alexa.com, Compete.com and other similar services.

To begin, it’s important to understand where the data for these services comes from. To quickly summarize, these services monitor the Internet use of a given segment of internet users and make estimates based on these segments. Click Alexa or Compete if you’re interested in learning more about their methodologies. I don’t want to get into the strengths and weaknesses of each as, at the end of the day, I think that accuracy is the only thing that is important. The following a less than statistically-significant experiment that I performed to determine the accuracy of Compete.com.

Comparing Compete.com to Website Analytics

For the following experiment, I took 6 websites, each of which have over 10,000 uniques visitors per month, and compared them to compete.com estimates to get a rough idea of the accuracy of this service.

For the following summary, I compared Compete’s unique visitors with that of the given web analytics solution used (either Google Analytics or SiteCatalyst). The % in each box represents the difference between the two data sources. For example, 2% means that Compete data was almost dead-on-target and 98% would mean that data wasn’t even in the ballpark. I’ve also included information on the industry from which the sample website is in (technology, travel, hotel, real estate and manufacturing).

% Difference Between Onsite Analytics and Compete Data

totals

In general, compete.com unique visitor traffic estimates are no where close to actual analytics data collected from 6 websites reviewed. Based on this analysis, I have no reason to believe that compete.com is capable of accurately estimating website unique visitors.

Is Bad Data Better than NO Data?

I regularly speak with clients and marketers (some of which are fairly Web saavy) who regularly use data from sources like Compete and Alexa to make comparisons. While many of them understand that there are flaws with these data sources, they still seem to rely on this data at some level. I guess they feel that bad data Is better than no data at all.

Me, I say that bad data is dangerous and is in fact worse than no data. Bad data is harmful in situations where decisions are made based on it. Unfortunately, services such as Compete and Alexa are also effective marketers and lead the average user to believe that the data is accurate when in fact, they should know better.

Click for other posts about understanding your website analytics data.

Post your findings to comments below!

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After working with a number of clients over a number of years, I still find it surprising that many business owners are still a bit in the dark when it comes to analyzing the data that their website analytics solutions provide. For my next few posts, I hope to bring some clarity to what all the numbers actually mean and how they can be used to make marketing decisions.

Let’s start with a common question that we get: I’m working hard on SEO, how much organic traffic am I really getting? While we would never base the success of an organic search campaign purely on traffic, this is a legitimate question. Using Google Analtics, we can easily find the answer to this question.

Begin by logging into Google Analytics, clicking Traffic Sources and then keywords:
ga1

Among other things, the Keyword Report will show you the amount of traffic that came to your website by searchers using specific keyword phrases. Let’s look at a few features that we can use to really dig down and determine how search is driving traffic to our website:

Paid vs. Organic

ga2

Just below the graph, you’ll see a few links that allow you to to toggle the keyword report to show either paid, organic or both types of keyword traffic. It’s important to apply this filter when trying to determine the traffic results of your organic search efforts. Clicking paid will display only the search traffic you recieve from your paid search marketing efforts. Likewise, clicking non-paid will show only organic traffic. Potential pitfalls: In order for Google to accurately report on paid traffic vs. organic traffic, you need to tag your paid search campaigns either by linking your Google Adwords and Gogole Analytics accounts or by tagging your paid search campaigns. If you do not follow this standard, your paid search traffic will appear as ‘organic’ traffic in Google Analytics. I can’t tell you how many businesses confuse the two and “misread” the data…

Branded Traffic vs Prospecting Traffic

It’s important to understand the difference between brand keywords traffic and non-brand or prospecting traffic. Brand keyword traffic refers to traffic that is generated by search terms related to your brand name. For example at THAT Agency, we see that visitors each month find us by searching for brand-related phrases such as THAT Agency and THAT Web Design. Non-brand or prospecting traffic refers to any traffic generated by keywords that are not brand-related. For example, keywords like web design and internet marketing agency.

Now that you understand the difference, you may see why it’s important to separate the two when doing your marketing analysis. To some extent, the brand keyword traffic you receive can be considered a measurement of your overall marketing activities and exposure. A powerful brand can expect a large portion of search traffic to come through these types of keyword searches. Likewise, you could also expect an increase in your brand-realted keyword traffic after running a large marketing campaign.

To some extent, non-brand or prospecting traffic is a meansurement of how successful your website is at generating traffic for keywords that it is optimized for. A large amount of non brand, organic search traffic can be an indicator that your website visibility it good and that your SEO strategies are successful. When measuring the success of an organic search campaign, this is often a key metric.

In Google Analytics, you can filter the keyword report to show you either brand or non-brand traffic by using the filter at the bottom:

filter

By typing in a keyword phrase to either include or exclude, you can easily view keyword search stats based on whether they are brand or non-brand. For example, I use this filter to see how much traffic thatagency.com gets for organic keywords not related to our brand name by selecting excluding and typing the word that. This will remove from the report all keyword phrases with THAT in them. If I wanted to see brand-related search traffic, I could change excluding to including.

In this post, we’ve really only scratched the surface of how this report can be used to measure search success. To summarize, a few important considerations to think about when analyzing your keyword search traffic include:

  • Be sure to separate paid and organic search results
  • Consider brand and non-brand as two separate metrics that tell you two different thing (Brand traffic can be an indicator of brand popularity and non-brand can be an indicator of organic search marketing efforts)
  • Applying filters to the keyword report can help you easily analyze your marketing efforts.

If you need any help with setting up and analyzing website analytics, we’re here to help.

Click for other posts about understanding website analytics and data.

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