Web Analytics and Tracking Offline Conversions | Why I Wouldn’t Want to be the Email Marketing Manager at Toys R Us

Maybe that’s a bit harsh, so let me explain. I’m sure it’s a good job and that the person running email marketing enjoys what he/she does, but there is an inherent issue with that position that would drive me absolutely crazy... So, why wouldn’t I want to be the email marketing manager at Toys R Us? It has to do with sales attribution, tracking offline conversions, and what I’ve witnessed first hand over the past 6 months. Let’s start off with some background information.

Let’s Define Sales Attribution:
The definition of sales attribution is the process by which you assign credit (in this case revenue) to a particular sales channel. If you are using a web analytics package on your e-commerce website (and I hope you are), then sales attribution enables you to break down your revenue by channel (email marketing, paid search, organic search, banner advertising, etc.) to gauge how your marketing campaigns are performing.

Receiving the Email and Then Visiting the Store…
I receive email marketing from Toys R Us frequently (being a parent of 2 young children). If something piques my curiosity, I sometimes click through to the website and browse around. That’s good for Toys R Us and their email marketing manager. But…I almost always buy offline, and that’s not so good for the email marketing manager. Now, I’m sure the person running email marketing wants the best for the company and a sale is a sale, but that specific sale won’t be attributed to the email campaign that sparked the transaction. Do you see where I’m going with this? How would you like it if someone else (or department) always took credit for your hard work? Back to why I purchase toys offline. I think you have to be a parent to understand why I almost always buy offline at a Toys R Us store. You see, it’s actually a blast to visit the store with your kids. And, when weekends sometimes feel like a marathon for parents, it’s a much needed break. The only way I would buy from Toy R Us online is if the store near us didn’t have something I desperately needed in stock (and that’s not often). It’s ironic for me…since I buy everything online, but toys seem to be a different story.

Web Analytics and Sales Attribution
Typically, an email marketing campaign is tagged specifically to be tracked in a web analytics package. This is done via tracking parameters added to the links in the email marketing creative you receive. The tracking variables are appended to the URL in the querystring. To see what I’m talking about, check out the following link from an email I received from Lands End this past weekend.

An email link tagged with tracking variables:
http://www.landsend.com/ix/mens-clothing/index.html?tab=1&cm_mmc=usnews-_-usnews_060108_fs_core-_-topnav-_-menstab

Lands End is using Coremetrics (a web analytics package that I am extremely familiar with). The tagging you see in the querystring will enable the web analytics package to attribute the sale to the email marketing I received on Sunday. Based on what I just showed you, I’m sure you can see why tracking online campaigns is much easier to do than offline campaigns (and why it’s much faster to report). You can track each campaign at a granular level and obviously make decisions based on your reporting to improve campaign performance in the future. That said, you still have a problem with tracking offline conversions that started online (like I explained earlier with receiving an email and then visiting the store.) So, as the sales roll in at the store, the poor email marketing manager back at headquarters won’t really be able to attribute that revenue to his or her campaign. Sure, you can guess that the email drove a certain amount of revenue, but you can’t say for sure… Unfortunately, there aren’t many ways around this issue (for now). However, there are some ways to attempt to capture the sale and attribute it correctly and I’ve listed two ideas below.

Some Ideas for Attributing Sales for Offline Transactions That Originate Online:

1. Include a printable coupon in your email.
If you can provide a printable coupon in your email creative, then you might entice a customer to bring it to the store. If the coupon is used, then you can attribute the sale to your email marketing campaign (as long as your systems can communicate with one another). This is not a new technique and it requires a customer to take a few extra steps, but it can help you attribute the sale to your campaign. Hey, every dollar counts when you’re running that channel, right?

2. Have your cashiers ask the question at checkout.
Now, this is definitely not foolproof, since it’s based on human behavior, but it might work for you. Let’s list a few potential problems… The cashier may never ask the question or ask much less frequently than you want. The customer may not tell the truth or shrug off the question. Let’s face it, relying on people to track your sales is not optimal.

Let's Help The Email Marketing Manager at Toys R Us!
So, can you see why I wouldn’t want to be the email marketing manager at Toys R Us? I can’t imagine how many sales are attributed to other channels. That would drive me nuts! But, we can help... If you’ve received an email from Toys R Us, but visited the store to make your purchase, list the date and dollar amount below. Maybe the email marketing manger can import this data into his/her web analytics package and finally get credit for a job well done!

I’ll start:
May 25th, $72.10

GG

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

E-Commerce Imaging Functionality with Lands End - Getting a Killer Look at Products While Shopping Online

We’ve all been there. You’re shopping online and find something you're 95% sure that you want, but you need to get a better look at the product before you click “add to cart”. So you select “Click here for larger photo” but sometimes that yields inadequate images that don’t really build more confidence. Over the past few years, e-commerce imaging technology has greatly advanced (especially on larger retail websites). During my latest Gobble Thursday holiday shopping session, I visited Lands End and checked out some clothes for the upcoming winter season. Let me tell you, their product imaging functionality is some of the best I have seen on the web. Actually, it’s good enough that I decided to write a blog post about it today! Now, what makes it so good? Let’s jump right in:

Browse-By Listings (Category Listings and Image Functionality):
I started my visit to Lands End by clicking Men, Shirts & Sweaters and then Sweaters to get to the browse by listings you see below.



As I was looking at the listing of sweaters, I rolled over one I liked and the product view changed on rollover to a model wearing the sweater. I found this to be a great way to give potential buyers a second view of the product right from the sweater listings (and not necessarily on the product detail page). The view showed the sweater on a model so you can see it in context (and not just on a white background). Reference photos below. Then, right below the product image, I noticed several swatches. Clicking a swatch changed the product image dynamically, without post-back. Post-back is developer-speak for when your browser completely refreshes the webpage, which takes unnecessary time. I really like this functionality in the browse by listings…it was intuitive, provided value, and enabled me to see a wide array of sweaters in different colors and on a person. I love it. :) OK, let’s click through to the product detail page to get a closer look.

Screenshot of category listing with rollover functionality and swatches:



Product Detail Page: Pan, Zoom, and View:
Once on the product detail page, Lands End gives you several options for getting up close and personal with the product you are viewing. First, you have a nice product image (full view). Let’s get a closer look.

The Zoom:
Below the image, Lands End provides their pan and zoom functionality, which is one of the best I have seen on the web. You can either click the image to zoom in or click the “zoom in” button below the image. Either one lets you zoom into the product to view more detail. I was able to zoom in at a granular level (actually further in than I really needed to, but some people would want to see the fabric as closely as possible). It was easy to use and the response time was excellent.

Zooming in to get a closer look:



Now The Pan:
Then, if you click and drag the image once you zoom in, you can scroll around to view a closeup of the product. The image blurs as you drag the product, but refocuses once you choose the desired section of the product. You should try it out to get a good feel for how this works, because it’s some of the best pan and zoom functionality on the web (seriously.) There is a thumbnail in the bottom right corner which shows you a red bounding box that represents which part of the product you are viewing. But Lands End didn’t stop there…you can even drag the red bounding box around, which moves the product image. Great functionality…

Change Your Product View:
Below the pan and zoom controls, there are a few additional thumbnails. For my example, you can see the full sweater, the sweater on a model, and then a fabric swatch. When you click each image, the larger product image above changes to what you selected. Then you can use the pan and zoom functionality on the new image. Outstanding! If you choose the swatch thumbnail, then you can take a closer look at the fabric, which I can guarantee decreases product returns… More on this later.

Switching images to get a different view:



Colors and Fabrics:
On the right side of the page, you’ll find a list of swatches so you can easily change the color of the product you are looking at. Again, this is completed without post-back, which is fast and seamless. In addition, the thumbnails below the pan and zoom functionality also reflect the change in color (the full product view, the product on a model and the fabric swatch). Nice touch.

Selecting different colors dynamically changes the images:



What's The Effect on Your Buying Experience?
Providing e-commerce imaging functionality like this truly enhances the user experience on LandsEnd.com. Lands End exceeds customer expectations with the investment they made in their imaging functionality. As a marketer, when you start to analyze bounce rate, exit rate, and abandonment rates, you start to appreciate functionality like this. When it comes down to it, if you leave doubt in a customer’s mind, you might leave revenue on the table. But it’s much worse than that… The customer you just lost will go somewhere else to buy, may never come back to your website, and then will generate incremental revenue for your competitor. Great, right? Lands End is obviously dedicated to giving visitors every possible option while viewing their products so they can make an informed decision. By the way, they provide some additional functionality that I haven’t listed here…and I plan to review that soon. Consider that a blog teaser! :)

Decrease Product Returns:
In addition, Lands End is making its web operation more profitable by providing functionality like this. I bet their product returns from web purchases are lower than other retailers. How could it not be?? You are getting an incredible view of a product you are interested in…it’s almost like you are in a store for crying out loud! OK, maybe not that good yet…yet.

Lower Your Cart Abandonment Rate and Checkout Abandonment Rate:
I’ll also bet that their cart and checkout abandonment rates are lower than other retailers. Abandonment can happen due to several reasons, one of which is a lack of confidence in the product you just added to your cart. You know, questions like “will it really look like that?”, “what does the fabric actually look like?”, “what does it look like on?”, so on and so forth. Lands End minimizes these doubts, which probably lowers their abandonment rates. As a web analytics nut, I’d love to see their stats! {wait…taking one more Analyticza} ;-)

Ease of Use = Happy Customers:
This one is simple…Lands End makes it so easy and effortless to browse and buy that customers truly enjoy shopping on the website. I can tell you, that’s the way I feel. Being a web marketing consultant, I almost wanted to stay on the website to keep playing around with their imaging functionality… That’s if I didn’t have a gift list to knock out! ;-) Again, I’ll be writing a second review soon…

In Closing...
Well, I think you can tell how much I like the imaging functionality on LandsEnd.com! It was easy to use, robust, and more importantly, it builds customer confidence. I have a new tagline for Lands End:

"No Doubt and Lots of Confidence...Shop LandsEnd.com"

I have a feeling I'll be back to LandsEnd.com this holiday season....and I'm confident I won't be the only one! :-)

GG

Related Posts:
The Continuing Evolution of Online Shopping : My Virtual Model and Beyond
Effective Email Marketing With BuyCostumes.com
e-Commerce Shipping - Online Customers Demand a New Standard
2006 Holiday Season Online Shopping Review

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

Everyone knows of Black Friday, the Friday after Thanksgiving, which is the busiest retail shopping day of the year. This is the day that retailers provide incredible sales and deals for customers willing to wake up early and hit the shopping trail! Then there’s Cyber Monday, which arrived after online shopping took hold. It’s the Monday following Thanksgiving, and the day that many consumers purchase online at work (and try and hide it from their bosses). :-) But there’s another important day for online retailers (at least for me). I like to call it Gobble Thursday, or Thanksgiving Day. For a number of years, I’ve been cranking out over 80% of my holiday shopping in the wee hours of Thanksgiving Day. It’s a tradition for me now. So as web marketers, you want to take advantage of online holiday shoppers like me during Thanksgiving week (and for the Monday after). So, I’ve collected some last minute tips to make sure you convert as many of those holiday shoppers. Go ahead, gobble up these tips! ;-)

1. Free Shipping and Other Shipping Discounts
If you don’t provide some type of shipping offer, you'll lose out! People expect free shipping in one form or another during the holidays. So, even if you’re a small company, you better figure something out or you will lose customers to competitors that do. It doesn’t have to be free shipping on everything. You can provide free shipping on orders over a certain amount (like $25 or $50). The specific amount is based on your business, so you can figure that out with your CFO. :-) Also, make sure you communicate the offer in all of your campaigns (email, paid search, shopping engines, etc.) More on this later. Personally, I absolutely lean towards buying from online retailers that provide free shipping for the holidays.

2. Have Your Holiday Email Schedule Mapped Out
Email marketing to your internal list is still the most effective way to get in touch with your current customers (which is why I rank it as the most powerful online marketing channel at your disposal). It’s a powerful driver of sales, especially if you carefully map out your holiday schedule. For example, determine the special offers you will run during the holidays, when those offers take hold, determine your creative for each blast, and start scheduling the blasts. Also, I would plan on sending follow up emails. I can’t tell you how many times a reminder has pushed me to place an order. Let’s face it, people are ridiculously busy during the holidays so sending a reminder is a good idea.

3. Provide Outstanding On-Site Search Functionality and Provide a Holiday Guide
When I crank through my holiday shopping, I love using on-site search (as do many other people). I want the results to be clean, return relevant results, and provide a good amount of information about the product. I really only want to go to product detail pages of items that I want to buy… In addition, providing some type of holiday guide helps customers find great gift ideas fast. For example, show visitors what’s featured for the holidays, provide great gift ideas, break them down by category, etc. If you are short on resources and time, then create a few new pages on your site and organize your products based on how your customers search for items. This can be by style, age, price, size, etc.

4. The Mighty Gift Card
Know matter how you cut it, people love gift cards. In my opinion, I believe there’s only 1 out of 10 people that know how to buy gifts. I mean really good gifts that are well thought out. Most of us have been on the receiving end of some doozies, right?? Anyway, provide gift cards on your site for people who want to buy something quickly or for those that don’t know exactly what to buy. The dollar increments should match your products. So, if you sell $10 items, then have the gift cards in $5 increments up to $50. If you sell $50 items, then have a $10, $25, $50 and $100 gift cards. You get the picture…

5. Coordinate Your Online Marketing Campaigns
Make sure all of your marketing efforts are coordinated. For me, I’d rather not see one offer in email, another in paid search, and yet another when I hit a landing page. For example, if you are running free shipping for the holidays, then make sure you communicate this offer via email, paid search, shopping engine listings, banner ads, etc. And, make sure your campaign landing pages match the advertisements people are clicking through. Imagine someone clicking through a free shipping ad and then hitting a landing page with no mention of the offer (or worse, a different offer altogether!) If you have a blog, make sure you communicate your latest promotions in your blog posts, and again, have those offers match up with the pages you are sending visitors to. It doesn’t take much to throw off potential customers, which means fewer conversions, and less revenue.

In closing, there are many things you can do to enhance your holiday marketing efforts and I’ve provided a few ideas above. Think about it…if you map out your top 10 ideas and then run with your top 5, you’re giving yourself a better opportunity to have a successful holiday season. Just be prepared to adapt as the weeks go by, based on the data you are collecting (hello web analytics).

I can hear those shoppers gobbling up your products already. I can’t wait for Thanksgiving morning. :-)

GG

Related Posts:
Analyzing Your Holiday Email Marketing Campaigns using Google Analytics

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

Analyticza™ Pill Arrives and Curbs Addiction to Web Analytics Reporting

The makers of Webmarktrium™ now bring you Analyticza™,

the most powerful way to curb your compulsive web analytics disorder.

Just 1 Analyticza™ per day enables you to lead a healthy, normal life free of obsessive analysis of your web analytics reporting.

Does This Sound Familiar?
* Do you feel a sudden urge to check your web analytics reports?
* Do you wake up in the middle of the night in a cold sweat thinking about which websites or blogs are linking to you?
* Can you not go more than 2 hours without checking your analytics package?
* Do you search for reasons just to log on and check your web stats?

Then Analyticza™ might be for you!


Analyticza™ is lactose free, does not contain wheat, fish, nuts, or artificial colors and is 98% organic. Analyticza™ has a soft, gel-like outer covering so you can take as many Analyticza™ as you need while at work, in meetings, during exercise, at social events, or any other activity where you want to curb your addiction to web analytics.

Find out today why the country’s top physicians call Analyticza™, “The cure for the statistics-hungry demon inside every web marketer.”


Don’t wait any longer! Contact your physician today about getting started. Your life is waiting for you…and it’s a life free of web analytics compulsion.



Please view important safety information before taking Analyticza™:



------------------------------------
Important Safety Information:

1. The most common side effects of Analyticza™ include tremors, headaches, wheezing, and eyestrain. Less commonly occurring reactions include hair loss and nose bleeds.

2. When taken on an empty stomach, Analyticza™ may cause excessive analysis of referring sites and backlinks, which in some cases lead to stalking of referring website owners. In extreme cases, restraining orders were necessary.

3. When taken in conjunction with executing busy holiday marketing schedule, Analyticza™ may cause sleepwalking and then analyzing web marketing reporting, with amnesia of the event. Some patients were found in their offices, still in their pajamas (or less), reviewing reporting while still asleep. Termination and lawsuits followed in 65% of the cases.

4. Patients focused on gaining high search engine rankings may fall into a search reporting binge, finding each and every keyword they rank for. In addition, these patients were seen randomly blurting out their rankings to people that actually don’t care. In severe cases, patients tracked down competitors they outrank, performed “keyword celebrations” on the front lawns of their competitors, and typically end up in custody. Analyticza™ does not condone “sticking it” to your competitors with excessive celebrations.

5. Missed dosages of Analyticza™ in combination with parenting has caused extreme head discomfort due to spouse projection of coffee mug at patient. This typically occurred as patient relapsed and forwarded key metrics to his/her mobile device during birthday party of child. This was often accompanied by mother in law projection of punch bowl, father in law projection of pinata stick, and overall family disgust leading to potential exile of patient. Analyticza™ cannot be held liable for head injuries, family disputes, contusions from pinata sticks, or reimbursement for hotel as a result of exile.

6. If taken for extended periods of time, patient may become immune to Analyticza™, which may cause extreme relapse of compulsive analytics behavior. During relapse, marketers often obsess about Bounce Rate, with aggressive behavior towards coworkers that were part of high bounce rate landing pages. If you experience an obsession with Bounce Rate for longer than 72 hours straight, or what doctors call “Bouncy Bounce Syndrome”, flush all Analyticza™ pills down toilet, eat 9 pounds of parsley, and jog 14 miles. Symptoms should subside within 48 hours.

7. Caution should be taken while taking Analyticza™ when attempting to understand sales attribution across marketing channels. Studies have shown that even small doses of Analyticza™ while trying to determine what “sales attribution” actually means can lead to seizures, migraine headaches, nerve damage, and even stroke in severe cases. Analyticza™ recommends you contact Coremetrics to gain a solid understanding of how sales attribution can impact your web marketing strategies.

8. Taking Analyticza™ while also taking Omega 3 pills has shown a dramatic effect on the physical appearance of patients. Note, this was not the intended use of Analyticza™ and thorough testing has not been conducted as of yet. Please reference photos below. Analyticza™ cannot guarantee similar results, increased dating, a career in modeling, or enhanced popularity.




9. Taking Analyticza™ while reading top web analytics blogs may cause a sudden increase in blood pressure and anxiety. This occurs as Analyticza™ tries to fight off the urge for web analytics analysis. This can lead to over-commenting on blogs in question, which often leads to biting replies back from web analytics bloggers, and can possibly spiral out of control as supporters of top bloggers unite and retaliate against patient (or what is called “The Blogtzkrieg”.)

10. If you are taking Analyticza™ and find yourself greeting coworkers in the morning with “Hey, guess what I’m ranking for…”, “Guess who was on my site yesterday…”, “Nice bounce rate…”, “I know what you were looking at last night on my blog…”, “You can’t handle my RSS subscription rate...”, or similar phrases, you may need to supplement your Analyticza™ treatment with chemicals peels, yoga, the cabbage diet, high gelatin intake, and possibly hypnosis. It’s obvious that Analyticza™ alone is not working for you. Analyticza™ is not responsible for rumors about your sanity, negative feedback at work, notices from HR that you’re creepy, or simply being made fun of by your coworkers.

11. In some cases, taking Analyticza™ before social events has led to the phenomenon called the 6 degrees of blogging. This occurs when you take a normal conversation and somehow connect it with your own blog by 6 degrees. For example, “Hey John, how about that Yankee game last night?” Analyticza™ patient responds, “Great game, I can’t believe A-Rod hit another home run, he just did an interview with ESPN, didn’t ESPN just run a segment on his agent Scott Boras, Scott Boras makes his players a lot of money, by the way, did you know that my blog post about sports contracts ranks #4 in Google?" Person leaves conversation and thinks Analyticza™ patient is weird. This may happen multiple times during the social event. If it does, force feed Analyticza™ patient lots of alcohol, as much as you can find until symptoms subside (or patient passes out).

12. Patients that mistakenly overdose on Analyticza™ may lose interest in Web Analytics altogether. This typically results in lack of segmentation, loss of search rankings, misallocation of ad spend, and failed marketing campaigns. Also seen in patients that overdose was an overall lack of understanding of who actually visits the website in question, where they come from, which pages perform best on the website, and how to improve the website. In severe cases, excessive golfing may occur followed by swift termination.

13. How Analyticza™ works is not actually known.

14. In clinical studies, simply reminding yourself that you have a life outperformed Analyticza™ 99% of the time.

15. Try not to take Analyticza™.


Glenn Gabe works hard each day to ensure people don't abuse web marketing medications.

Are you an Analyticza™ patient?
Please tell us how Analyticza™ has impacted your life by adding a comment below!

--Are you looking for the web marketing smart pill named WebMarktrium™?--

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