Web Analytics

This is a short post on how you can see the full referring url in one report in Google Analytics (GA).

The problem:

Just a quick background for people who haven’t run into this issue yet.

If you want to segment by source in GA; the referring url is cut at the domain. Which means if you got a referral from http://news.ycombinator.com/a-great-post/ you would see it in the source as http://news.ycombinator.com/. And if you have multiple urls from the same domain we cannot see which page it come from because it will be truncated at the domain.

The solution:

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You’re a startup and it’s you (the CEO), your CTO and your marketing guy in the monthly board meeting, and your investors ask “so what did you learn from the marketing activities last month?”  Don’t say something like “we’re not real sure”, or “traffic went up, but we don’t know from where” – or anything like that.  In fact, make sure you don’t fall into the old adage “I know half of my marketing is working – I just don’t know which half.”

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This is an instructional post for advanced use of Google Webmaster Tools and Google Analytics to uncover insights about organic keywords driving traffic to your website.  It’s a bit long, but bear with me – the results will be valuable to you :)

If you’ve been using Google Analytics, then you might be familiar with all of the new changes in the past year, like asynchronous code, advanced segmentation, custom reporting, and much more.  Equally, Google has been making quite a few upgrades to Webmaster Tools as well.  They now show you things like duplicate title tags, meta descriptions, links to your site, and now search queries.

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A couple of my good friends over at MailFinch, an on-demand direct mail service, and Upstack, a site where you can hire designers to do whatever you need, have both been using ReTargeter.com to drive visitors back to their site.  The way it works is a visitor comes to your site, and ReTargeter puts a cookie on the visitor.  Once the visitor leaves, and goes to another website, there’s a good chance they will see a banner ad from you.  And I’m talking about sites like Huffington Post, LA Times, Wall Street Journal and many more.  It’s all driven to get people to come back, hence the name “ReTargeter,” and so only those people who came to your site and got the cookie will see the ads.

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We’ve been using the heck out of the annotation feature in Google Analytics, and here’s why: because we can correlate traffic to activity.

For the most part, it’s going to be your marketing activities. But it could be things like you were on vacation from date A to date B, and maybe that’s why your traffic went down. Or maybe your server was down on Friday morning, and that’s why your traffic came to a screeching halt.

I’ve also been annotating when we send emails out to our user base as well, even though MailChimp does a good job of tying into Google Analytics – I’d rather just roll over the note on the graph, rather than have to pinpoint the date range, and then go and look at the Visitor Sources.

using the annoation feature in Google Analytics

To add a note, simply roll over the date you wish to add a note to, and then click the “Create new annotation.” It’s quite simple. Other folks who have access to your account can also add notes, and it will track who said what.  While it does allow you to add multiple notes on a single date, it does not allow you to create a note over a date range.  Bummer.  That would be useful if for instance you did a direct mail drop over a 3 or 4 day period, right?  Maybe they’ll add that later, but for now you just have to hack it by putting a note for “direct mail start” and another note for “direct mail end” or something like that.

Either way, it’s a pretty cool feature, if I do say so myself.

This is our fourth post in the ‘Small Business Series‘ which features where we feature industry leaders on how small businesses can better leverage their strengths.  This week we are interviewing Hiten Shah, the founder of three successful startups (Survey.io, Crazy Egg and Kissmetrics) on understanding metrics that a small business should focus on. I have been using Crazy Egg for a while now and its a great tool to understand click patterns, and just yesterday tried out KissInsights (a new product as part of Kissmetrics).  KissInsights is one of the best feedback tools I have seen, I am not a fan of the pop-up technique of inviting people to participate in surveys and love the widget you have to install.

Romy Misra (Pear Analytics): First Hiten, thanks so much for taking out the time to do this. Why is it important to develop metrics for success for small businesses? How does one develop these metrics?

Hiten Shah: I believe that the metrics for success are important in any business, because they can be used to help the whole organization focus on a single goal. If you pick the right metrics for success, you will be able to significantly improve the focus of the whole team and thus improve your business. Developing these metrics should be done first by making hypothesis about your business and validating / invalidating these hypothesis. From there you will have a good base understanding that will allow you to determine what metrics to focus on and how to define success for your business.

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This is the second post in our “Small Business Series” where we are interviewing a few industry experts on how small businesses can better leverage their strengths. Today we are interviewing Ken Hilburn, from Juice Analytics, one of my personal favorite data visualization companies, on how to create awesome surveys. Surveys are traditionally one of the best ways to understand your customers, but at the same time getting your customers to participate and engage in surveys is a huge challenge. I thought of interviewing Ken when I took a survey Juice Analytics sent to me by email, and it was the most engaging survey I had taken in months.

Note: As a bonus, Ken has generously shared that survey with us.

Romy Misra (Pear Analytics) : First Ken, thanks so much for taking the time to do this. The importance of surveying your customers has been repeatedly talked about. Why do you think it is important to survey your online customers/visitors?

Ken Hilburn: I have to start off by saying that Juice Analytics has an awesome community and we love talking, listening and working with them. But even with such a strong group, it’s critical to talk less and listen more.
It used to be, for the most part, that customers were at the mercy of vendors when it came to communication – it was pretty much a one-way street. However, that’s changing now. With the pervasive use of social media sites, there has been a tremendous shift toward “power to the people.” It’s certainly in a company’s best interest at this point to make sure they’re in touch with their customers and how well their customer’s needs are being met. We get to choose: we can either do that proactively, or we can wait to see it on the twitter “Popular Topics” list and hope it’s positive.

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The Pear Analytics Website Analyzer tool has analyzed nearly 5,000 unique websites since we launched it in March this year.  We’ve helped many website owners make changes themselves with our “Fisher-Price” instructions to get their site more search engine friendly.

Now we’ve kicked it up a notch.  Now we’re offering to fix parts of the site for you – and for cheap.  A good portion of your searchability issues are going to be related to the technical side of your website – a place where many avoid due to the complexity and fear of breaking something.

There are 2 options for you too – we will fix the problem and you install the changes, or for a bit more, we will fix and install the changes for you.  If you want us to install it, we will simply send you an invitation to allow us to briefly access your computer while we work our magic.

analyzer-upgrade-process2

Give it a shot and start the process by analyzing your website.

I’d love to know what you think.

While doing research on page load times, I came across a lot of articles regurgitating the same study. Getting deeper into it, there were many more discussion forums where people did not agree with the studies. The most recent study on page load times and customer retention was done by a company who sells a service optimizing load times. So of course, they made a simple questionnaire asking people how long they would wait for a page to load and found most people would wait less than 4 seconds. Many people pointed out that it would depend on the kind of page they were trying to load, whether they had broadband or not, the age of the visitor as well as many other factors.
So the question is, is a study done by a company who’s selling a service really impartial? Can it be trusted, or will they skew the results in their favour?
How long will you wait for a website to load? Is 4 seconds too long? Does it depend on the website? Will you wait longer for a specific site or go search for something else?

That’s right – you can’t measure everything online that you might think.  Analyzing click traffic on websites has become much more difficult to get anything close to accurate.

One of the most difficult problems to solve is the issue with giving proper credit to the “original source” of the lead or sale.  Some of the PPC systems refer to this as the “assist” and they pass special tracking cookies to the user that will help indicate in the click stream data future visits from this user.  This typically helps credit PPC campaigns and reduces the cost per acquisition (CPA) for that channel.

This is great, but it is flawed.  This generally assumes that the visitor used one computer, and few of us use one computer.  We usually have an office computer, a home computer (we have 2), plus mobile devices.

Consider this situation (which is probably quite typical):

web-tracking-analytics

1.  Husband is searching for vacation spots for his family during his lunch at work.  He does several searches, including hitting a few paid ads.
2.  He runs out of time and has to get back to work, so he emails himself the links to the pages of the sites he liked to his home email account so he can show his wife later that evening.
3.  He gets on email at home and pulls up the pages on his home computer to show his wife and kids what he found.
4.  They continue to do more research and even bookmark a few sites/pages and will revisit in a couple of weeks so they can think about it.
5.  They revisit the site a few weeks later by hitting the saved bookmark and from there, decide to purchase.

Now in this case, it’s going to be virtually impossible for the marketer to track this sale all the way back to the paid search ad because he lost him as soon as he switched computers (if he is even using cookie and campaign tracking in the analytics software).  And if this happens often enough, he will think his paid search campaign is ineffective because it is not driving any sales.

Newsflash: most people don’t buy anything on the first visit!

There is likely going to be multiple interactions, extensive research, bookmarking, etc. before any purchase is made over a several-week (depending on the product) sales cycle.

Secondly, consumers are not going to be as compulsive in a down economy and are going to be looking around for deals, so we can’t possibly expect them to purchase on the first visit from a Google ad.

So what can we do about this?

Well, not too much, unfortunately.  However, if you have an e-commerce site selling any sort of products, you can reduce this phnomenon by simply having a “Favorites” or “Wish List” area of the site where a user can quickly and easily open a free account and save what they like straight on your site. This would eliminate the need to bookmark and email and cookie track everything.  You would have all of the data on your site, and now you could even do session tracking by username and get other interesting information (beware that session tracking has additional privacy issues that you will want to look at closely).

Many of the large sites like Amazon, eBay and others have this feature, but even for small or medium sized business, most of the 3rd party off-the-shelf e-commerce applications (like X-Cart, Magento) have Wish List capabilities.

Happy tracking!