Google Analytics Benchmarking Data, Comparing Your Website Data to Industry Verticals

Earlier this month, Google Analytics added a new feature, the ability to view benchmarking data across verticals. The idea is to enable you as a website owner to compare your reporting to that of your industry as a whole or to other industries. You would obviously want to do this in order to glean insights about how your website compares in context (and not in a vacuum). Context is very important to have or your web metrics are just numbers. For example, your visitor level might be low or high compared to your niche, but you won’t know that unless you have context (or in this case other comparable data from your vertical.) Overall, I think Google providing benchmarking data is a good start and I’ll explain more below, but it really is just a start… Anyone that does competitive research for a living probably cracked a grin when they saw this very high level information.

How to View Benchmarking Data:
In order to view benchmarking data, you need to enable it in your analytics settings from within Google Analytics. The first page you see after logging in (which shows your various profiles) has a link that says “Edit Account and Data Sharing Services”. After clicking that link, check the box that says, “Share My Google Analytics Data… Anonymously with Google products and benchmarking service”. Then click “Save Changes”. Note that it could take several weeks for this data to show up. You will know if it shows up by clicking the Visitors Tab from within Google Analytics and then the “Benchmarking (BETA)” tab. Then you can dig in.


What Does Benchmarking Reporting Include?
The first thing you will see is a dashboard of reports, including Visits, Pageviews, Pages Per Visit (PPV), Bounce Rate (my favorite metric), Average Time on Site, and Percent of New Visits. Each graph will show you how your site compares with the industry you have selected. So how do you change the industry vertical to compare against? At the top of the report, you can click “Open Category List” to reveal all of the verticals you can select to compare your site’s data to. OK, I’ve revealed problem #1. If you want to compare apples to apples, you might not be thrilled with GA’s initial list of verticals. Again, this is a great start, but if you focus on a vertical that’s not directly reflected in one of the listings, is the process of analyzing the data worth it? Every vertical and type of site will have their nuances, so it’ll be hard to accurately compare data unless your vertical is listed.

Comparing Visits:
Everyone wants to know how their visitor counts stack up against their industry. This is actually one of the graphs that can help you. For example, if you see a dip in traffic during March, did your industry see the same dip? Did they see an increase instead? What does the trending look like for Q1 for your site versus your industry? Do you want to find partnerships based on seasonal traffic levels? Take a look at various verticals to note similar trending or inverse trending. Maybe you can help each other. You get the point…

Comparing Bounce Rate:
When I first found out that the benchmarking service would include bounce rate, my favorite web metric of all, I was psyched. I’ve written a series of blog posts about bounce rate, since I don’t think there’s a better metric for telling you more as fast as Bounce Rate. That said, I preach that bounce rate at the aggregate level (or site level) doesn’t really tell you much… you need to segment your data to truly understand where the problems lie. For example, social media traffic from Digg might have an 85% bounce rate, where your email marketing campaigns might be at 25%. Paid Search might be at 30% and organic search at 15%. Those numbers analyzed separately can tremendously help you. Combine them and you have a 39% aggregate bounce rate. Is that good or bad? I’m sure you get my point. Back to the benchmarking data. So, looking at the aggregate bounce rate on your site compared to an industry vertical probably won’t give you actionable data. That is, unless your BR is 90%. Then you don’t need benchmarking data anyway, you need some serious help. :)

Comparing Percent of New Visitors:
You want your visitors and customers to come back, right? So this metric can at least give you a feel for how your visitor retention compares to your industry vertical or other industry verticals. Every industry is different, but let’s say you are 30 points higher than your industry vertical for percent of new visitors and you aren’t running any crazy new campaigns (which would skew your data), then you might be on to a customer retention issue… Again, it really depends on your vertical and which marketing efforts you launched during that time period. If you see high numbers for return visitors against your industry totals, then how can you keep that trend going? These are just hypothetical situations, but it could be a valuable process to go through.

Comparing Pageviews:
I’m not going to spend a lot of time on pageviews. This metric bothers me slightly. I’m focused on conversion, so I don’t care if that takes 3 pageviews or 18 pageviews. That said, you can possibly find some interesting data here, like if pageviews in your industry are significantly lower than yours…maybe there is an industry trend for implementing new functionality that radically cuts down the amount of pageviews needed to find the right product. Hypothetical of course, but you might be able to glean insights from the reporting. The other problem is based on rich media functionality or AJAX, which won’t show up as additional pageviews. So, how do 10 pageviews compare to 2 if the 2 is really closer to 10, but completed via AJAX?? Again, I wouldn’t focus on this metric…

Comparing Pages Per Visit:
This could be a valuable metric to analyze compared to your industry vertical if your goal is to keep visitors on your site (advertising model). This essentially answers the question “how sticky is your site compared to your industry vertical?” Are there elements that your competition is using that increases their pages per visit? Is your site much stickier on average? Why is that? Did you just implement new content areas or various types of media content like video? For an e-commerce site, this isn’t as big of a deal. Again, if it takes my visitors 5 pages to convert or 10 pages, I don’t necessarily care. I want to provide the right information to the right people at the right time in order to build trust and convert them to a customer. It’s not always about speed…

Average Time on Site:
This is similar to pages per visit to me. Again, it really depends on your type of site. Are you trying to keep visitors on your site longer based on your business model? How are you achieving this? Did you implement social media functionality? Did you just implement video content? Is there messaging functionality? How does your site’s average time on site compare to your vertical? Or to similar verticals? A low average time on site compared to your industry vertical could indicate a problem with your campaigns, content, or navigation.

To summarize, I think Google Analytics has taken a step in the right direction with providing benchmarking information. It’s not elaborate and deep, but it does give you a decent comparison against your industry vertical and to other verticals. You’ll have to take some of the data with a grain of salt and really drill into your own analytics to glean insights. Maybe some of the GA benchmarking data pushes you to do additional competitive research using more elaborate tools like Hitwise. Just remember that context is everything and competitive research tools and services give you that context. So go ahead and compare away! :)

GG

Tagging and Tracking Yahoo Search Marketing Campaigns in Google Analytics

Disclaimer: Before I begin to cover tagging and tracking your Yahoo Search Marketing (YSM) campaigns in Google Analytics (GA), I highly recommend using an integrated search marketing package to manage your Paid Search campaigns, such as Coremetrics Search Marketing Tools or Omniture Search Center. Using a robust set of search marketing tools that are integrated with your web analytics package is obviously the optimal way to go (if that’s possible for your organization). Now let’s move on!

I Can Easily Analyze Google AdWords in Google Analytics, but…
Since many companies are now using Google Analytics, I often receive questions about how to best track Yahoo Search Marketing (YSM) campaigns using GA. When you use Google Analytics, your paid search campaigns using Google AdWords are tracked natively, so there is no additional tagging that you need to implement. You will be able to drill into your campaigns, ad groups, and keywords easily from within GA and view sales, goal conversion, site usage, and cost. This is a great feature, because tagging your paid search campaigns is about as fun as writing "I will always remember to tag all of my Paid Search campaigns properly." a thousand times on a chalk board. :-) So I’ve decided to write this blog post offering you a good option for tagging YSM campaigns for analysis in Google Analytics.

It’s All About the Tagging…
For those of you not familiar with tagging, it’s the process of adding querystring parameters to your campaign URL’s so Google Analytics can accurately track your campaigns. I’ve written a previous blog post about tagging emails for analysis in Google Analytics here. To track YSM campaigns in GA, some marketers are tagging at the keyword level and some at the ad level. I recently helped several clients use a technique that enables them to tag their YSM campaigns at the ad level and utilize some of YSM’s enhanced tracking parameters to analyze their campaigns in GA by Ad Group, Keyword (the keywords you are bidding on), and Raw Keyword (what people are actually entering).

YSM Enhanced Tracking Parameters (Dynamic Values from YSM)
If you turn on “Tracking URL’s” in YSM, then you can access a list of Enhanced Tracking Parameters each time someone clicks one of your keywords. You will use two of these tracking parameters for our GA tagging example.

The 2 Enhanced Tracking Parameters You Will Utilize Are:
{OVKEY} – or the keyword that a visitor clicked on. Note, these are the keywords that you bid on, not the original query from a visitor.
{OVRAW} – Yes, you got it… It’s the original query (or raw query) that a visitor entered in Yahoo.

*Note, there are several other enhanced tracking parameters available, but we’ll use the two listed above for our tagging purposes.

The Yahoo Search Marketing Tagging:
I’ll begin by providing a tagged URL below and then explain the parameters. Note, you will be tagging your URL’s at the Ad Level. So, you’ll create your ad (or access one you have already created and use this dynamic URL as the destination URL for your ad). Then you won’t need to tag at the keyword level. Yes, this will save you hours of work and hopefully meet your tracking requirements as well. :-)

Tagging Your YSM URL:
http://www.yourwebsite.com/products.asp?product-id=25&utm_source=Yahoo&utm_medium=cpc&utm_term={OVKEY}&utm_content={OVRAW}&utm_campaign=Spring%2BClothing%2BMen

Let’s quickly cover each parameter:
utm_source=Yahoo, This is simple, it’s just the traffic source. For our purposes we are using Yahoo to signify YSM.

utm_medium=CPC, Signifying Cost Per Click.

utm_term={OVKEY} This is the keyword that was clicked on. Note, this is the keyword you are bidding on and not the raw query. The beautiful part of {OVKEY} is that no matter which keyword was clicked on, the {OVKEY} enhanced parameter will hold that keyword. It's basically a variable for the programmers out there...

utm_content={OVRAW} This is the raw query that was entered into Yahoo. This is valuable information and I’ll explain more below.

utm_campaign=Spring%2BClothing%2BMen This is the name of the campaign, which will show up under the Campaigns Tab under Traffic Sources. BTW, %2B is a plus sign, %20 is a space (these are URL encoded characters, which you should always use in your URL's). You should be descriptive with the campaign name so you can easily find your campaign in the list within GA.

Why Did I Tag the URL This Way?
Good question. Because I want you to quickly access your campaign reporting in Google Analytics and be able to segment your reporting by keyword and raw query. Now, let your test campaign run for a day and then access your GA reporting. Click the Traffic Sources tab and then click Campaigns. You should see a campaign titled, “Spring+Clothing+Men”. You can review your top level information for the campaign here, like Ecommerce Revenue, Goal Conversion, and Site Usage. Click this campaign to drill deeper. Once you are in the Campaign Details report, you can easily segment the report to analyze keywords and raw queries. Click the segment dropdown and choose Keyword. This will show you the keywords (that you bid on), that led to your site. You can easily view site usage statistics, sales, and goal conversion per keyword. Click the segment dropdown again and select Ad Content. Now you are viewing the raw keywords (or the query) that people entered in Yahoo to view your ads. This is especially powerful, since you can find new, longer tail keywords for your campaigns (which will probably yield a lower CPC). You can easily export the raw keywords and then import the ones you want to use in your YSM campaigns. For example, you may be bidding on the word Khaki Pants, but you might find that visitors are entering New Dark Khaki Pants or 32 inch Khaki Pants. You would export these raw keywords and then add them to your campaign. You get the idea…

Screenshot of the YSM Campaign Reporting:
Click on the image below for a larger version:


To summarize…
So there you have it. A nice way to tag your YSM campaigns, save time, and accurately view your Paid Search reporting in Google Analytics. I still recommend using an integrated paid search package when possible, but regardless, this technique will definitely save you time and frustration. It’s a nice way to drill into your YSM campaigns to view sales, goal conversion, site usage, and all by campaign, ad group, keyword and raw keyword. Now, I would still love to view YSM campaigns with the ease of AdWords campaigns in Google Analytics, but for now, I’ll just keep using this technique. I hope this helps your paid search efforts! Let me know how it works for you.

GG

Related Content:
* Analyzing Your Holiday Email Marketing Campaigns Using Google Analytics

* Site Search in Google Analytics

* The Referring Sites Report in Google Analytics

Site Search in Google Analytics, One More Weapon in Your Analytics Arsenal

If you run an e-commerce website, then you already know how important site search is to your business. As websites grow more complex, visitors love to use site search to find products on your website. So, how good of a job does your site search do at connecting visitors to the products that they are looking for? Did you pause? :) In my opinion, site search analysis is a key component to understanding customer behavior and can greatly help enhance your online business. Google Analytics recently launched its Site Search functionality and I wanted to give an introduction to the functionality and reporting now available.

Why is Site Search Analysis Important?
I’ll give you the quick answer… Because visitors on your site are giving you a lot of feedback about how you handle their questions, but unfortunately, the feedback isn't given directly to you. If you were a salesperson in a retail store, you would get immediate feedback, right? “Excuse me Glenn, I’m looking for an HD TV from Samsung. Can you point me in the right direction?” You would obviously know how well you directed that person or how well your store could handle the request (i.e. you might not even carry Samsung HD TV’s.) On a website, you don’t hear the feedback, you don’t immediately know which “aisle” visitors traveled down, and you might not know how much revenue came from that query. This is where site search analysis can greatly help your efforts. And, you can take action relatively quickly based on the data. Again, this will be an introduction to keep the post from being 15 pages long…but I plan to write more about this in future posts. Let’s jump in…

Finding Site Search in Google Analytics:

First, I’m assuming you have set up site search in your profile. It’s very easy to do and you can find instructions from Google here. Once you are logged in, click the Content tab in the left side navigation, and then click Site Search. You will be taken to the Overview page, where you are provided with several options. Let’s start with the most obvious report for site search, the actual keywords that your visitors are entering on your website.

Search Terms (or Keywords) Used on Your Website:
Click the link under Site Search for Search Terms to view all of the keywords that visitors are using on your website. Cool, right? Do they match what you thought were the top searches? I’m sure there are some surprises… This is a great way to get a top level picture of what people are looking for on your site. Let’s quickly look at some of the key metrics on this page (Note, I will not cover all of the metrics in this post…)

Screenshot of the Search Terms Report:
Click on the image below for a larger version:


Total Unique Searches - This is the logical starting point. You can easily see the hot keywords on your website and then drill into them when you want to view more detailed reporting.

% Search Exit - What a great metric! This is the percentage of people that exited immediately from the search listings after searching for that keyword. It's very similar to bounce rate and it's a great red flag indicator. Imagine you see a 90% search exit rate for a keyword that matches a product you have! Why is that happening? A quick search on your site could possibly reveal the problem. Then go and fix it immediately! :)

% Search Refinements - Or the percentage of people that refined their search keywords after searching for a specific keyword. This reveals a lot about how your visitors search for products. You will love this metric if you plan on making site search enhancements… More on this later. For example, a visitor might start with HD TV, but then refines their search as follows:
HD TV --> Samsung HD TV --> Samsung HD TV LCD

Revenue Anyone?
And of course you can click the tabs for Goal Conversion and E-Commerce at any time to view revenue per keyword or your site conversions per keyword (like newsletter signups, RSS subscriptions, etc.)

Drill Into Your Top Keywords:
You can click any keyword to drill into more detailed reporting. One of my favorite reports is the Search Navigation report, which you can find by clicking the Analyze dropdown once you drill into a specific keyword. Click Analyze and then select Search Navigation. This will show you the page that visitors started their search on (using that keyword), and then where they ended up. You need to click a page on the left and then Google Analytics will show you the page that visitors ended up on (the destination page). You may find some interesting results, like visitors ending up on pages that you would rather them not end up on given their specific search! For example, if someone searches for Samsung HD TV and they end up the Digital Cameras page, you would want to take a hard look at how that happened…

Screenshot of the Search Navigation Report:
Click on the image below for a larger version:



Search Term Refinement:
You can also use the Analyze dropdown to select Search Term Refinement, which will enable you to see how visitors refined their searches after first searching for the selected keyword. Using the example I listed above, you might see that visitors started with HD TV, then added a manufacturer Samsung HD TV, and then added a screen type like Samsung HD LCD TV. The way visitors search may be completely different based on the categories of products you sell. You might end up refining your search functionality by category to enhance your visitors’ experience and to maximize sales.

Screenshot of the Search Term Refinement Report:
Click on the image below for a larger version:



0 Search Results
Interested in knowing which search terms result in a 0 search results page? This is not built into GA, so finding this takes an extra step. I typically start by finding high % search exits and then hit the e-commerce website in question to see the results. For example, if you see a 90% exit rate after the search for LG HD TV, you might want to check it out. Finding keywords like this can help you determine problematic search results (like if you really had LG HD TV’s!) It can also help you determine possible new product additions. If you don’t carry LG HD TV’s and you have a lot of visitors searching for them, you might want to consider adding them, right? You get the point!

Site Search Usage - Let’s take a step back and look at the usage reporting.
Click the Usage link under Site Search in the left navigation. You can see the number of visits to your site that utilized site search versus not using site search. Then you can use the dropdowns to analyze additional metrics. For example, use the dropdown to show revenue so you can see how much money was generated by visitors using site search. Or, you can view number of transactions from site search versus visitors not using site search. On the right side, you can view a pie chart based on visit type (visits with or without site search). For example, use the right dropdown to view time on site (for visitors who used site search versus not using site search). The Usage reporting is a great way to see how much value your site search is providing your business.

Screenshot of the Site Search Usage Report:
Click on the image below for a larger version:


Which Destination Pages Performed the Best?
By clicking the Destination Pages link under Site Search in the left navigation, you can view all of the pages that visitors were taken to after searching for a keyword. You can quickly use the dropdown to view metrics for that destination page, such as revenue, total unique searches, complete orders, conversion rate, % search exits, etc. This is a great way to look at top performing pages versus poorly performing destination pages. For example, you might be able to find certain elements, calls to action, visuals, etc. from a top performing page that you can apply to poorly performing pages. You can also drill into each page to see the keywords that led to the page. And, you can still use the dropdown up top to view key metrics (now by keyword versus destination page).

Start Pages
To view the pages where searches on your website originated, click Start Pages under Site Search in the left navigation. So, why did searches originate from these pages? Is there something you can do to enhance certain pages? Do any of those pages also have a high bounce rate or exit rate? You can click any of the start pages to view the search keywords that visitors entered while on that page. For example, you might find a category landing page with searches for products not listed on that landing page (even though they are part of that category). If you see enough of a demand for certain products or subcategories, you might try adding them to the landing page. Remember, you want to connect your visitors with the products they are looking for as quickly as possible. If you can take a barrier away, like having to search for the product, then do it. Small adjustments might reap great rewards.

Site Search Trending
The last set of reporting I’m going to cover is Site Search Trending, which can be found under the Site Search tab in the left navigation. By clicking the link for Trending, you can easily see data over time for key metrics in site search. Using the Trending dropdown at the top of the report, you can view visits with search, % search exits, % search refinements, search depth, etc. Keep in mind, this reporting is top level and not for specific searches. It will give you an overall snapshot of how your site search functionality is working. For example, let’s say you’ve had a slight problem recently with visitors not being able to easily find your search box. So you made some changes to its location and want to see if that change affected the percentage of visitors using site search. This is a great report for finding information like this… The trending graph enables you to easily view data over time. That was just a quick example, but I wanted to make sure you understood that Trending was at the site level when looking at this report.

Moving forward with Site Search Analysis…
I hope this post helped introduce Site Search Analysis in Google Analytics and gets you excited about digging deeper. Let’s face it, if someone is searching for products on your site, you don’t want to lose them… To use the retail sales analogy I explained earlier, visitors who are using site search are actually giving you feedback. The problem is that they aren't directly giving the feedback to you! You need to channel their approval or frustration through your site search reporting within Google Analytics (or other web analytics packages). It can help you reveal what’s working and what’s not working. You might be surprised what you find!

GG

Related Posts:
* Analyzing Your Holiday Email Marketing Campaigns Using Google Analytics
* The Referring Sites Report in Google Analytics : Know the Value of Websites Linking to You
* A Review of Google Analytics v2

Analyzing Your Holiday Email Marketing Campaigns Using Google Analytics

As the holidays approach, chances are you will be launching several email marketing campaigns. Busy holiday marketing schedules heavily rely on email to connect with customers, promote holiday sales and offers, and to drive revenue. With the flurry of emails you’ll be sending out, analyzing your campaigns is critical to improving their effectiveness. Utilizing a robust web analytics package is a great way to scientifically determine what works best for your specific customer segments, and maybe more importantly, what doesn’t work. So, I decided to write a post that covers analyzing your email marketing campaigns by properly tagging your email links (for analysis in Google Analytics). Then you can break down and analyze your email creative at a granular level in your analytics reporting.

First let's define "tagging your online ads":
Tagging is the process of adding querystring variables to links in your online ads so your analytics package can detect and then associate each link with a campaign. Then you can access reporting based on visitor activity. For example, tagging a banner so you your analytics package knows which website the banner was placed on and which version of the banner led to a click through. The reporting will also provide important metrics for your campaigns such as site activity, sales, conversions, bounce rate, etc. Tagging is critical to understanding how your marketing campaigns are performing.

Breaking Down Your Email Marketing Creative
Let’s start with a wireframe for our sample email marketing creative. As you can see below, we have the following areas that we want to track:

1. header with branding
2. product image
3. headline next to product image with product info
4. special offer
5. footer with company links



Tag, You’re It! Tagging Your Email Creative:
In Google Analytics, you need to tag your campaigns so you can properly analyze each campaign in your reporting. You achieve this by tagging each link that you want to track. The four variables that you will utilize in Google Analytics for this example are:

1. utm_source
2. utm_campaign
3. utm_medium
4. utm_content

utm_source
This is the source of your marketing campaign, so for our purposes "InternalEmailList" will work just fine. Just remember to keep this consistent for future campaigns to your internal email list so you can easily segment and aggregate your reporting data in Google Analytics. Other examples of Campaign Source are websites you are advertising with, shopping engines, a search engine like Google or Yahoo, PRWeb, etc. It’s basically the source of your campaign traffic.

utm_campaign
This is simply the name of your campaign. Note, you should use a descriptive name here, since it will show up in Google Analytics under the Traffic Sources tab in Campaigns.

utm_medium
Medium identifies the marketing channel you are utilizing for your campaign, such as email, banners, search, pr, etc. Obviously for our example, we’ll use email.

utm_content
I saved this for last, since it’s what we'll be focusing on for tracking your email marketing creative. You should use a different value for utm_content for each section or specific link in your creative. This enables you to view reporting based on the content breakdown in your email creative (which will help you determine the value of each element in your email). More on this later.

So, for our example, the utm_content values would look like this:

Header: utm_content=HeaderBranding
Product Photo: utm_content=ProductPhoto
Headline: utm_content=Headline
Offer: utm_content=Offer
Footer Links: utm_content= FooterLinks

Note, this is a simplified example, and you may choose to get more granular in your own email creative. For example, you may choose to tag each specific link in the footer versus tagging all of the links in your footer as "FooterLinks".

The Full Picture (or should I say "The Full URL")
I just explained how to set the utm_content variable in your link, but I also mentioned 3 other variables that you should set. Here is what your link would look like for the header element in your email creative using all 4 variables:

http://www.hmtweb.com/blog/?utm_source=InternalEmailList&utm_medium=Email
&utm_content=HeaderBranding&utm_campaign=PreThanksGiving

Each of the links in your email should contain this querystring using all 4 of the Google Analytics tracking variables I listed above. You can also utilize Google's URL Builder to help build your links.

Blast Away!
At this point, you should fully test your creative to ensure everything looks the way it should across email clients, ensure all of the links work properly, ensure you tagged each link correctly, etc. Then blast away and wait for data to come in (and revenue!)

Tracking Your Email Campaign in Google Analytics
OK, so you blasted out your email campaign yesterday and you are eager to see how it’s performing. Log into Google Analytics and click the Traffic Sources tab. Then click Campaigns. You should see all of your campaigns listed here for the time period you selected. For our example, you would see a listing for PreThanksGiving, since this is the name we gave our campaign earlier. Simply click this listing to view reporting specific to this campaign.

At this point you can see the summary for your email campaign. You can see the number of visitors, avg time on site, bounce rate, etc. You can click the Goal Conversion tab to view the number of conversions from your campaign, and you can also click the E-Commerce tab to view revenue, number of transactions, etc. But you shouldn’t stop there… You can drill in further to view which elements are performing well in your email creative.

Click the image to view a larger version:



View the Breakdown:
Click the Site Usage tab again in your report. Now, click the Segment dropdown and select Ad Content. You will now see each of the links you tagged in your email creative. Cool, right? Now you can view detailed reporting based on each element in your email. Why is this important? You may find interesting customer behavior that will enable you to drive better performance in future blasts. You might see that 75% of visitors clicked the product photo versus the offer. Based on that piece of data, maybe you expand your imaging in the email to include other views of the product to see if it increases your click through rate and sales. Or, you might find that a headline next to the photo draws more visitors than a headline above the photo. So on and so forth... You get the picture! When you break it down, your customers are unique and you might find that certain elements perform extremely well and others fall flat.

Click the image to view a larger version:




Back to your reporting… A sample analysis:
Now click the E-Commerce tab and view sales data for each element. You might find the product photo generated 70% of the revenue from the campaign. You might also see 10% of the revenue coming from the footer links. Why? Maybe customers aren’t sure who you are! Most people receive dozens of emails per day from companies they have purchased from. If you are a smaller company that is still building your brand, it might take customers a second or two to remember who you are… If you see trending that shows people clicking through your About Us link, you might want to promote your company and/or brand more in the email creative. i.e. Provide an About Us paragraph in the right sidebar of the email. This is obviously just an example, but you might find some important data from reviewing reporting like this... Back to our analysis, if you click the Goal Conversion tab, you can view conversions from each element in your email. Now you can track sales, newsletter signups, RSS subscriptions, etc. for each element in your creative. You might find certain email campaigns generate a lot of newsletter signups but only a few sales. You would obviously want to dig deeper and find out why that is...but you wouldn't know unless you track it!

In closing…
Using this technique, you can break down your creative and tag each link so you can view detailed reporting for your email campaigns. During and after each campaign, you should check your reporting for trends in customer behavior. Then test out new ideas and drive elements that perform well. Over time, you can refine your campaigns to maximize your email marketing efforts.

So, if I’ve done my job well, your next move is to run down the hall and grab your email marketing coordinator screaming, “Hold That Blast!” so you can tag all of your links! ;-) Then you can enter meetings armed with data versus opinion!

GG

Related Posts:
Black Friday, Cyber Monday, and Now Gobble Thursday - More Holiday Tips for Web Marketers

Making Sense of Blog Bounce Rate

This is the fourth post in my series on Bounce Rate, which is one of my favorite metrics in web analytics. Many online marketers are concerned with Bounce Rate, which makes a lot of sense since you can learn a lot from this metric… I've recently received many questions about Bounce Rate and how it relates to blog posts, so I thought it would be a good idea to address this topic in a post of my own. Let’s call it “adding context to your blog's bounce rate”.

There are 4 components to this post:
1. Your Blog Philosophy and Goals
2. Your Writing Style and How It Matches the Drivers of Your Readers
3. Related Content
4. Track and Learn

Your Blog Philosophy and Goals:
BEFORE you start to analyze bounce rate for your blog posts, you should think about your overall blog philosophy and determine your goals. For example, is your goal to educate readers and to answer questions, are you trying to generate a large readership, will your blog help you sell products or services, is it a key mechanism for getting people to contact you, are you interested in building high search engine rankings, etc? Clearly understanding your goals will help you bring context to the bounce rate of your blog posts. To give a quick example, if your goal is to provide breaking news to your readers, then bounce rate might not be as important as you think. Why? Well, if someone finds your blog post about the latest widget update and they quickly visit the post, check out the breaking news, and then leave, is that bad? No, but that’s technically a bounce. Or, if they find your blog post and immediately choose to subscribe to your RSS feed, is that good or bad? It all depends on your goal... So, stop reading this post for a few seconds and think about the goal of your blog. Then write it down on a sticky note and place that on your desk somewhere you can easily see it. We’ll be referring back to it shortly.

The Angle of Your Blog Posts and the Key Drivers of Your Readers:
Now, let’s take a look at some different types of content and how they match up with the key drivers of your readers. There are a lot of reasons why people visit blog posts and you should try and understand your readers as much as possible in order to provide the best possible experience for them, which in turn, should lead to supporting the goal of your blog. Again, we need to bring context to your bounce rate situation. Note, there are obviously many types of blog posts, but the ones listed below are based on my experience helping clients and working on my own blogs.

Different Types of Blog Posts and Their Effect on Bounce Rate (based on my experience)

1. Educational Posts (Teaching Your Readers Something of Value)
If you know that your readers want to learn something from you, then you have a great chance to provide additional educational content on your blog that would interest them. The key here is to understand what specific topics your readers are interested in based on your analysis, then write high quality posts that focus on that topic, and then provide links to relevant content on your blog. If you understand what your readers want to learn, then there's a good chance they will consume a lot of content on your blog that relates to that topic. And, they will appreciate it…finding your blog a great source of information about an important topic for them.

Educational Posts = Excellent Chance of Low Bounce Rate

2. Focused Entertainment and Isolated Stories
Some readers simply enjoy finding interesting posts, even if they are very focused and/or isolated. They might love funny blog posts, shocking or disturbing blog posts, unique stories, entertaining posts, misc. facts, weird photos, parodies, etc. If you provide blog posts like this, you might notice higher bounce rates for that specific content. It’s not that readers don’t like you or your posts, it’s just the nature of the content. That said, you still might notice a lot of activity and links (which is a good thing). Think about it, let’s say someone is on digg and clicks through a story to view a video of Bill Maher kicking people out of his audience. You wrote a great post about what happened and how this affects journalists that work in Live TV. You might notice a high bounce rate with this type of post, since the focus might be on finding and watching the video and not on the blog or blog author in question. At this point, look at the sticky note I told you to create a few minutes ago and see how it matches up with the goal of your blog… You might have built 1000 links to your blog from that one post, but no RSS subscriptions. Is that good or bad? Good for organic search, but bad for building readership. Again, it depends on your goal...

Focused Entertainment = Good Chance of High Bounce Rate, but More Eyeballs and Links

3. Product and Service Reviews
Providing reviews based on your expertise is a great way to build a loyal following. The beauty of the web (and blogging and social media), is that you can find reviews from normal, everyday people who will typically give you an honest opinion of a product or service. Readers interested in reviews tend to also follow related content until they have the confidence to make an informed decision. For example, if you review an iPhone and then also review a Blackberry Curve, there’s a great chance readers looking for this type of content will read both posts (as long as you let them know the additional content is there!) More on this later. It makes sense if you think about it. Put yourself in their shoes…you are about to spend a few hundred dollars, you aren’t sure if it’s right for you, and you just found a person like you providing a real-world review without marketing spin. There's a reason that Word of Mouth Marketing (WOM) is as hot as it is now.... Just make sure you find the right blogger…

Product or Service Reviews = Excellent Chance of Low Bounce Rate

4. Blog Posts that Benchmark
We’ve all wanted to find blog posts explaining the best way to do something, right? (whether it's for business or personal use) For example, some visitors may be looking for the best way to launch a new business or the best way to improve their golf game. These readers are looking to find the best methods in the industry (whatever industry you are writing about), they want to know which is the best company or who is the top person, how they do it, and how to reproduce that effort in their own life. For example, someone may find your post about how to best run a fundraiser. This type of reader will be more apt to check out related posts, such as how to best organize your fundraising team, which marketing methods work best, and the top venues in your region to hold the fundraiser kickoff. You get the picture…

Benchmarking = Good Chance of Low Bounce Rate

5. Keep Me Posted
This type of content involves providing quick posts about something you just learned about. For example, when Google Analytics recently announced a series of upgrades, many bloggers who are focused on web analytics wrote quick posts letting their readers know. These posts might show a higher bounce rate than others. Again, it makes a lot of sense… you are quickly letting people know about breaking news so they will probably check out your post quickly and be on their way. You can definitely gain a following by doing this, since you are the source of new information, but you can’t expect these posts to be sticky. That said, these readers might subscribe to your feed, since you keep them posted. :-)

Benchmarking = Good Chance of Higher Bounce Rate, but High RSS Subscriptions

Note, there are obviously additional types of posts and drivers for blog readers, but I’ll keep this post manageable and stop here. Again, these are based on my experience. The main point is to understand the angle of your posts and how these posts match up with what your readers are looking for (what drives them to read blog posts).

The Anti-Bounce
There is a common thread that’s been running throughout this post…related content. For bloggers that are just starting out, unfortunately, you'll need to write faster. ;-) Once you've created great content on your blog, the next step is to analyze your web analytics and then provide killer content that’s relevant to key posts on your blog. The third step is to make sure readers can find your related content! This can be done in several ways:

Ways to Provide Related Content:
1. Inline Links, or links within the blog post content (my favorite)
2. A list of related posts at the end of the blog post in question
3. Tagging your posts
4. Utilizing your sidebar to provide additional links
5. Providing search functionality

Each of these techniques can work, but I’m a bigger fan of inline links, links below your post, and tagging. In my opinion, inline links actually provide better context for the reader, but that’s just my opinion. For example, I’ve also written blog posts about how to lower your bounce rate. This inline link gives my readers some context.

A Quick Note About Tracking Outbound Clicks and Content Navigation
Using your web analytics package, you should definitely track as much as you can to determine behaviors that affect your bounce rate and consumption of blog content. For example, if you track outbound clicks, you can see which external links your readers find most important. This can help you determine which topics are hot and possibly what to focus on in future posts. For example, if you wrote a post about how to better your golf score and you notice a lot of readers clicking on a link to Dave Pelz's Short Game Bible, then maybe your next post should focus on the short game (your golf game within 100 yards). Simple example, but you get the point! BTW, reading Dave's books lowered my golf score by 10 strokes. :)

Web Analytics Note: Google Analytics will soon support tracking of outbound clicks natively. This will make your life a lot easier... rather than manually tagging each outbound link!

Content Navigation is also important to analyze. This is where you can target a blog post in your analytics package and view how visitors got to that specific post and then also view where they go after reading the post. So, you might see 60% of the visitors to a blog post landed on that blog post (the first interaction with your site in a session). Then 80% of those readers went to related posts, 10% bounced, and 10% subscribed to your RSS feed. Viewing content navigation can help you determine how readers behave on your site in relation to the type of blog post you provide.

It’s All About Context
In closing, it’s hard to simply look at Bounce Rate for your blog without understanding the other factors involved. You need context. A high bounce rate a on a blog post might actually make sense, as weird as that sounds. If you start by mapping out a goal for your blog, pay attention to how you write your posts, understand how that matches the drivers of your readers, provide related content easily within your blog posts, and track everything at a granular level, then you can begin to understand blog content and reader behavior. Phew, that’s a mouthful!

Now, in the spirit of this blog post, definitely check out the other posts that are part of my Bounce Rate series! :-)

* Bounce Rate and Exit Rate

* Why is My Homepage Bounce Rate So High?

* 5 More Ways to Lower Your Bounce Rate and Increase Your ROAS

GG

The Referring Sites Report in Google Analytics: Know the Value of Websites Linking to You

I truly enjoy speaking with people about web marketing. Actually, some will say that you can’t shut me up! I had a great conversation with a marketing manager the other day about sources of revenue for a website. He wasn’t extremely familiar with how web analytics packages work, so I was explaining how you can find out which referring sites are the most valuable to your business. The conversation took off (I could literally see a light bulb going on above his head) so I pulled out my laptop and started showing off some of the functionality in Google Analytics. Based on that conversation, it hit me that a blog post detailing the Referring Sites report in Google Analytics would be a good idea. And here it is!

What’s a Referring Site?
The definition of a referring site is any website (blog, forum, affiliate, etc.) that sends visitors to your website. That may be a bit vague, so let me expand on that definition. In most web analytics packages, traffic is broken down by referring sites, search engine traffic, and direct traffic. These are the most basic sources of traffic for your website. Back to referring sites, so a blog post that mentions your product, a social media site with a link to your website, and a link from an affiliate website are all examples of a referring site. The beautiful part about the top web analytics packages is that they all provide detailed reporting for referring websites. As you know from previous posts, I’m a big advocate of both Coremetrics and Google Analytics, but this post just focuses on the referring sites report in the latest version of Google Analytics.

So What Can You See in the Referring Sites Report?
Plenty. Let’s start with the top level referring sites report. As usual in Google Analytics (GA), you can view trending at the top of the report with the list of referring sites at the bottom of the report. You can view a summary of the data you’re analyzing right below the trending and you can easily view the referring sites data by Site Usage, Goal Conversion, and E-commerce. By the way, GA has one of the most intuitive user interfaces among the most popular web analytics packages. Under Site Usage, you can see statistics such as Visits, Average Time on Site, and Bounce Rate, which provides a great starting point. In addition, Google Analytics enables you to visit the referring site right from the report (in a new window). I love this feature for when I see a new referring site show up and I’m not familiar with the website in question. At the top level of this report, you can also click Goal Conversion to see the conversion rate for all of your events, again, broken down by referring site. So, you can see Ecommerce conversion rate, RSS subscriptions, newsletter registrations, etc. for each referring site in your report. Last, but definitely not least, you can click the E-Commerce tab to see revenue by referring site. In addition, GA enables you to segment your data with a quick dropdown labeled “Segment”. I’ll cover this later, but as an example, you can click the segment dropdown and choose “Landing Page” to see the top landing pages that people visit from your referring sites.

Screenshot of the Referring Sites Report in Google Analytics:
--Note, these are just sample screenshots. They don't match the examples.--

So in just minutes, you were able to see your top referring sites by visitors, goal conversion, and revenue. Now, isn’t this a great way to determine the value of a site linking to you? Imagine this…a website you just recently advertised with said, “We sent 14,000 visitors your way last week. Isn’t that outstanding?” Well sure, but it looks like 60% of those visitors bounced, only 3% signed up for our newsletter, and those 14,000 visitors only generated $400 in revenue. It’s powerful to have that data. :-)

Drill Into Your Referring Sites Report
Now many of you might be excited about what I just explained above. But why stop there? {OK, I don't mean to sound like a late night tv commercial for the craftmatic bed!} Let’s go one layer deeper into the referring sites report. I’ll click one of the top referring sites in the report. By clicking the site, you are now telling Google Analytics to focus on this one site and give you more data about this referring site. Once in the report, you will see trending again up top, which is a great way to see data over time for this specific website. For example, you might see a spike in activity, a gradual trend upwards or downwards… Also notice that GA provides the same report layout, keeping it consistent while you analyze different activities. This makes it very easy to find what you’re looking for and to become extremely proficient at finding the data you need. You’ll notice the segment dropdown again, this time set to Referral Path, which is the actual path from within the referring website (where visitors actually came from.) This is outstanding because you can now find the exact location on the site that people are finding your link or advertisement. I can’t tell you how many times a new referring site pops up, and I immediately want to see the actual page where the link resides. Was it a blog post, a mention on a forum, one of our ads, etc? GA enables you to view the URL in a new window right from the reporting.

Screenshot of a Specific Referring Site in Google Analytics:



So now we are getting more granular. At the top level, you knew that x amount of visitors came from the website. Now you can see x number of URL’s within the referring site that drove visitors to your website. And, you can easily click each tab like we did earlier to view each URL by Site Usage, Goal Conversion, and E-commerce. In addition, you can use the “Segment” dropdown to segment your data. For example, you can choose Landing Page to see which pages on your website visitors are landing on, you can click City or Region to see where they are geographically located, or you can click User Defined if you set up any custom segmentation. For example, you might have set up a segment for blog traffic. If you click User Defined, you would be able to view statistics based on people coming from this referring site, but that also that visited your blog.

Yes, Drill Into Your Reporting Even Further…
Why stop at the previous step? If you click one of the URL’s within your referring site report, you can view statistics for that one URL. You are telling GA to just give you data for that one URL and not the entire referring site. In this report, you can view trending up top for the URL in question (again, not for the entire site, just the URL). You can visit that URL in a new window, you can segment your data via the Segment dropdown, and you can view a summary of statistics at the bottom of the report. And once again, you can click each tab to view Site Usage, Goal Conversion, and E-Commerce for that one URL. Nice.

Screenshot of a Specific Link (URL) in the Referring Sites Report:



How About a Hypothetical Referring Sites Example?
You launched a big campaign last week. There are 2 sites in particular that you want to compare. Both are vying for your long-term business, so this is a test for each of them. You are running advertising on both sites in various locations. Both sites show up in your referring sites report. Great. Let’s take a closer look.

Each site sent ~8,000 visitors your way. Immediately you see that 1 site had a 55% bounce rate and the other had a 10% bounce rate. Interesting. You click Goal Conversion and see that the first site (with a high bounce rate) had a 2% conversion rate and the second site with a 10% bounce rate had an 8% conversion rate. Your case is getting stronger for site #2, right? Let’s drill deeper into site #2. You see 4 URL’s from this referring site that drove visitors to your site. The trending (up top) shows a downward trend from the day it launched through yesterday. What’s the reason? The most popular link was on their blog, which based on new content being added daily to the blog, the post mentioning your site drops down the blog homepage and eventually off of the homepage. You still get traffic, but not as much. Bookmark that in your mind for future campaigns. Maybe you should focus your efforts on more blog related content versus other efforts. You check revenue by URL, which backs up the mention in the blog post. It sent the most traffic and revenue your way. Let’s pop back out and check the first site (the one with a high bounce rate and lower conversion rate). You are now viewing the referring site by URL. Most of the visitors came through the homepage advertisement, but that also had the highest bounce rate. Was it the creative? Or, since visitors that arrived from links deeper in the site stayed longer and converted at a higher rate, does that reflect a more valuable type of visitor? For example, are you getting more value from deeper site advertising? Sure, it won’t send you as much traffic, but you want a high return on investment (ROI), which means revenue. Traffic is good, but not if 55% of it bounces.

We can keep going, but I’ll stop my hypothetical analysis here! I hope you can see how powerful this set of reports can be for determining high quality traffic. And “High Quality” can be determined by you, and not the people sending you the traffic. ;-) What gets me even more excited is that web analytics packages are only getting stronger. You will be able to do more and more as the popular analytics packages evolve. Stay tuned for more posts about other web analytics reporting. I know that there’s a lot to cover, so subscribe to my feed and keep up to date on my latest posts.

GG

Bounce Rate and Exit Rate, What is the Difference and Why You Should Care

Over the past year, I’ve received more and more questions about two important metrics in web marketing, Bounce Rate and Exit Rate. It seems there is some confusion about differences between the two, why they are important, what they tell you, and how to improve them. So, I decided to write this post to demystify them a bit.

The Definition of Bounce Rate and Exit Rate
Let’s start with some definitions. The definition of Bounce Rate is the percentage of visitors that hit your website on a given page and don’t visit any other pages on your site. For example, John views an organic search listing, clicks through to your site, and then leaves your site without visiting any other pages. He bounced. You can learn more about lowering your bounce rate here.

The definition of Exit Rate is the percentage of visitors that leave your site from a given page based on the number of visits to that page (or pageviews in some cases). Sounds similar to Bounce Rate, doesn’t it? There’s a difference, though. The visitor who exits might have visited other pages on your site, but just exited on that specific page. For example, John views an organic search listing, clicks through your site, reads a blog post, then clicks the About Us link. After finding out more about your company, John clicks the contact us link and fills out a contact form. He then exits your site. The contact us page is where he exited. In contrast, if he simply visited the site via organic search and left without visiting any other page, it would have been a bounce. Make sense?

Why are Bounce Rate and Exit Rate Important?
Both metrics are important and can help web marketing people glean insights from the data, but they are definitely used differently. Bounce Rate is extremely important for determining how your landing pages perform as compared to visitor expectations. For example, if you run paid search campaigns, then you know the importance of testing a landing page (optimizing the landing page). I find that bounce rate at the aggregate level doesn’t tell you very much (site level bounce rate), but I find that bounce rate at the page level is extremely useful. It actually makes a lot of sense if you think about it. For example, if you are driving paid search visitors to your landing page selling Coffee Makers {OK, it’s 5AM and I’m tired :-)}, and you have a 70% Bounce Rate on that page, you’ve got a problem. Why are that many visitors bouncing after clicking through your paid search ad and landing on a page that theoretically should be highly targeted? This is actually the fun part…digging into the data, optimizing the page, and using multivariate testing to lower your bounce rate and to increase conversion. As you can see, bounce rate can help you determine how well your landing pages perform (which directly affects revenue and ROAS).

In my opinion, Exit Rate is more important for determining which page in a process isn’t performing up to expectations. For example, if you have mapped out scent trails on your site (ala Persuasion Architecture), and you find visitors are exiting the site on a webpage that clearly is a stepping stone to a more important page, then you should probably take a hard look at that page’s content. Are the calls to action not compelling enough? Does the page provide content that throws off visitors? Is there a technical issue with the page? Does it take too long to load? So on and so forth. Note, that for specific processes like cart checkout, you should use funnel analysis, but analyzing exit rate for more open ended processes works well (like targeting a type of buyer and providing a scent trail for them to get to a registration form.)

Different Yet Important
As you can see, both metrics are very different, but both are important. My recommendation is to start analyzing Bounce Rate and Exit Rate for key pages and processes on your site. I would begin with a focused effort, like a landing page that receives a lot of paid search traffic (for Bounce Rate) and possibly a lead generation process on the site for Exit Rate (if you have one). I won’t cover the process of optimizing your content in this post, but you can read an introduction to multivariate testing using Google Website Optimizer to learn more about website testing. I believe multivariate testing is a critical component to increasing conversion and lowering bounce rate for your key landing pages. It can help you increase revenue without adding one more new visitor to your site. Intriguing, isn’t it? :-)

In closing, who thought that bouncing and exiting would be an interesting topic in marketing? ;-) Addressing Bounce Rate and Exit Rate can help you meet customer expectations, which can lead to higher conversion rates (whether that means sales, registrations, RSS subscriptions, etc.) There is one more point worth mentioning… although you can learn a lot from both Bounce Rate and Exit Rate, don’t forget about qualitative data. During your optimization process, ASK YOUR CUSTOMERS AND VISITORS about your key landing pages via surveys, focus groups, phone calls, etc. You may be too close to the content to see what’s wrong and you would be amazed to read and hear what actual visitors have to say.

GG

A Review of Google Analytics v2 - Part 1

The latest version of Google Analytics (v2) arrived a few weeks ago, and although I'm a big Coremetrics fan, I am also an advocate of Google Analytics. I have several clients that use Google Analytics and I also use it for my own websites. The new version is really strong and I plan to write several posts about the new features over the next few months. Today I wanted to begin my review with some of the top features that I use on a regular basis. Let's jump right in!

The New Interface:
Well, you can't miss this one when you log in. :-) The new interface is extremely slick. Google obviously worked very hard to make it as easy as possible to find the information you are looking for and in as few clicks as possible. For example, clicking the Visitors tab, you are presented with trending in the top area (along with a dropdown for changing the metric). Then you are presented with additional key metrics below the trending graph along with links to even more information (a good drilldown feature). The trending graph is flash-based and enables you to hover your mouse over a time period to see data in real time. Very nice. Using the dropdown, I can easily change the metric from visitors to bounce rate, pages per visit, etc. It's fast and there is no refresh needed...and no need to jump to additional pages.

Screenshot of New Interface:



Revenue Just a Click Away:
If you are running an e-commerce site, then revenue is what you are looking for, right? With the new version of Google Analytics, e-commerce metrics are simply a click away. For example, if I click the Traffic Sources tab, then click Referring Sites, I am presented with site usage information (like visits, pages/visit, avg. time on site, etc.) However, there are two more tabs next to Site Usage, which are Goal Conversion and e-commerce. Clicking e-commerce now shows me Revenue for each referring site. I did not have to jump to another page and I didn't even have to refresh the page. Again, fast and slick. Get me the information I want as quickly as possible. Then, I can click on a specific referring site to see more information. For example, I can segment Referral Path and see where visitors came from on the referring site, or segment Visitor Type to see if they are a new or returning visitor. Note that the e-commerce tab is present on many reports, enabling you to quickly match visitors with revenue. i.e. Click the New vs. Returning tab under Visitors and you can easily see the revenue from each segment (as well as goal conversion).

Screenshot of e-Commerce:


Traffic Sources:
Many people involved with web analytics are fanatical about checking which sites are sending traffic their way. Was it from a blog post, an article, social media, search engines, etc. The Traffic Sources tab enables you to quickly find the information you are looking for, as well as revenue associated with those sources. For example, if I click All Traffic Sources under the Traffic Sources tab, I am presented with a list of sites/channels that have sent traffic our way. So, I see that Google Organic ranks second in sending traffic our way for the time period I selected. Then I quickly click e-commerce to see revenue totals. It shows me that Google Organic was the third highest revenue generating traffic source. So, I'm intrigued...I click the link for Google Organic, which gives me more information about the channel. I see trending over time, I can segment the traffic (maybe by landing page so I can see where Google organic visitors are landing on the site), and I see other key metrics like pages/visit, bounce rate, and avg time on site.

If I click the Search Engines Tab under Traffic Sources, I see the top search engines that sent traffic our way. I can click each search engine link to see the actual keywords and associated revenue per keyword. Fast, easy, and extremely powerful. Also note that there are three links at the top of Search Engines page (under the trending graph). The links enable you to select Total Search Engine Data (both paid and non-paid), Just Paid Search Data, and Just Non-Paid Data (organic). Again, no post back, no jumping to additional pages, it's all right there on one page.

Under Traffic Sources, there are also tabs for Referring Sites, Direct Traffic, AdWords (to track your AdWords Campaigns), and Campaigns (to track non-AdWords campaigns). These other tabs deserve their own blog post, so maybe I'll cover them in Part 2.

Screenshot of Search Engine Traffic Source:



The Map Overlay Feature: Wow!
Under the Visitors tab is a feature called Map Overlay. Now, if you ever wanted to segment your visitors by location easily and efficiently, the folks at Google have really stepped up and given you what you needed. I am first presented a map of continents that sent traffic our way, so I click the Americas to drill down. Then I click North America. By the way, if you hover your mouse over a continent, country, city, etc, you can see the data in real time. Also, you can segment the data by using the dropdown I have mentioned throughout this post (so you can see revenue, bounce rate, conversion rate, etc. for each location.) Yes, impressive. Back to my example. Now I see all 50 states, each a shade of green, based on the number of visits. It looks like California sent the most traffic (it's the darkest green), so I click on the state to drill down. Now I am listed with the cities that sent traffic our way. I notice that Los Angeles tops the list. So I click e-commerce to see how much revenue the city has brought in...can you see the power of this feature?? Then I click on the city link to see more data, like trending over time for key metrics. Needless to say, this is a powerful feature that I hope more people find out about.

Screenshot of Map Overlay:



Exporting and Emailing Reports
Google Analytics v2 has made it easy to export and email reports from the interface. In almost every report, you can click Export at the top of the screen and you are presented with several options. You can export the report as a PDF, XML, CSV, or TSV file. If you want to send the report to someone else, click the Email tab. Here you can enter email addresses, a subject line, description, and then choose a format for the report. In addition, you can easily schedule reports to be sent on a daily, weekly, monthly, or quarterly basis. The email feature is what I use extensively, and it works great. How many times have you found something in your reporting, jumped back, and said "Darn...Jim would love to see this..." Well, simply click the email tab and in seconds your report is on its way.

Summing Up Part 1 of My Review...
I can keep going here...but as you can see, the new version of Google Analytics is a powerful tool for analyzing your web operation. I wanted to hit on some of the features that I use on a daily basis and I definitely plan to keep my review going with additional posts. I am impressed with the new functionality and ease of use of the new version. As I said earlier, I use other web analytics programs as well, but for the money (it's free), Google Analytics is a great package. There are some limitations as compared to a package like Coremetrics (read more about attribution windows here), but if you need a cost effective and powerful way to analyze your web operation, then you should definitely take a hard look at Google Analytics. If you want to learn more, then definitely check out Avinash's blog (he is the master, the official Google Analytics evangelist, and is known in the industry by just his first name!)

Wait a minute...just picked up something in the new Google Analytics that Jim would love to see {clicking email tab, copy and paste his email address, and poof, he's getting a pdf shortly}. :-)

Have fun!

GG