Thoughts From The Cake Scraps

Conversion, however that is defined for a site, is always the reason the site exists.  For me, a conversion is a visitor viewing at least 2 pages.  If I can do that then I know that I have engaged the person enough to look around the site a bit more.  You probably have some other definition of a successful conversion on your site.

A fairly common conversion point for a website is account creation or e-mail capture (e-mail sign-up).  The most common way to look at how successful the sign-up process is is by using a fallout report.  A nice funnel that shows how many you started with and how many fell out at each step.  The bottom of the funnel is the total number of people that made it through the process.  This is a great way to look at things but there are two very different ways of doing it.

The first way is based on pages viewed.  This is a very common way to look at fallout.  People that made it from Page A to Page B to Page C.  This works nicely in a very straightforward way.  It gives you a nice view of the total performance of that site path.  Unfortunately, at least in some WA tools, that is about all you can get at with the basic reporting capabilities.  The problem with this is that you might be missing some huge cake scraps, or golden nuggets, of information by looking at the data in aggregate.

Setting a success event on each of these pages will provide a much greater degree of flexibility.  For instance you could very easily look at campaign tracking codes and see how many of each event was set for each tracking code.  This might give you information that you simply didn’t have before.

Say, for example, that you had both display advertising and paid search campaigns pushing traffic to your site.  In all likelihood you know what the conversion is off of each of these tracking codes but you might not know how many of your email sign-ups are coming from each campaign.   It is very easy to start setting a success event on the sign-up confirmed page so that now you can get a count of that event by campaign tracking code.  Perhaps you find out that your paid search converts better but they don’t come and sign up for email.  This might cause you to change the messaging that you are doing in paid search (perhaps message email strong to drive sign-ups or message something else since e-mail sign-up just didn’t work).

Similarly, if you had a 2-step process, and set a success event on each page, you would be able to see if one type of campaign had huge sign-up issues.  Perhaps you would learn that you want to create a different on-site expirence for that type of campaign to drive up sign-ups.

Another thing that is great about using events is that they are easy to trend across time whereas fallout reports based on page views can be a bit more difficult or time consuming to generate.  The downside is that you probably have a limited number of events, so use them wisely.

What type of conversion goal do you have for your website?

This has been a Thought From The Cake Scraps.

In my previous post on participation metrics I got a great question about how participation works across multiple visits.  And as long as I was going to write about that question, I thought it would be a great time to also state the single best reason to use participation metrics.

First, I will address the question about multiple visits.  It is a great question, and I would expect nothing less from a guy who is crunching Milwaukee Brewers stats dating back to pre-1900 over at Brewer Leaders.  Hell, Ted “Double Duty” Radcliffe wasn’t even playing yet (bonus points if you tell me why he was famous in the comments).

Getting back to the subject at hand.  Participation metrics are generally only good for a single visit and a visit is arbitrarily defined by ‘the industry’ as you leaving the page or being idle for 30 min.  A full dictionary (pops a PDF) can be found here.  Therefore if you added a bunch of stuff to your cart and ended your visit the next time you came only the pages that you then touched would be counted.  This is the same for the non-participation metrics as well.  Therefore it would be possible to have a visit that only has one page and has an order and revenue associated with it.  Just think of a person sitting on the order confirm page, going idle for 31 min, then checking out.

There are metrics that will track across multiple visits, but because this is all based on cookies, to say they are reliable would just be wrong.  They are only as right as cookie deletion rates allow them to be.  Anyway, that is a whole post in and of it self.  But now you know about participation metrics (or most other metrics) across visits.

The other things I wanted to touch on – and the title of the post – relates to when to use participation.  The single biggest reason, in my opinion, is ease of communication.  People like to see big round numbers.  If you can say that a promotion page was viewed by 50% of your visitors by participated in 60% of your revenue that is easy.  There are less moving levers.  With revenue distributed, when page views go up for some reason (say you are doing a lot of liquidations and people have to click around to find something is a size or color they want) it is going to give an odd looking number compared to what people might be used to seeing.

Giving a nice number or % of total revenue just makes communication much easier.  And sometimes, when you’re working on something that you don’t really want to work on, finding the answer and communicating it out and being done with it is all you want.

These metrics discussions sure are fun, no?

This has been a Thought From The Cake Scraps.

I have not had a post on some basic elements of Web Analytics in quite some time.  Previously I have talked about how a person is tracked on a web site both with internal campaigns and e-mails.  I think that stuff is great to know for anybody surfing the internet.  It gives you an idea of what all that stuff in the URL is.  Check it out if you haven’t.

Once question that comes up quite a bit centers around what a report or analysis means when it talks about Revenue Participation or Order Participation or other ‘Participation’ branded metrics.  The first thing you need to know is that it is not the same thing as non-participation branded terms (i.e. revenue <> revenue participation).  The second is that participation metrics are related to single pages within a website.

Simply put, when a metric has “participation” attached to it, the metric changes from being a distributed metric to a non-distributed metric.

Lets just concentrate on revenue, but know that the example is not specific to revenue.

Lets assume that I came to a site and purchased $100 worth of stuff.  Let us also assume that I saw 20 pages in that time, including checkout pages.  When an analyst is looking at reoprts on a page basis there are 2 ways to look at that $100 I spent.

The first way is to attribute (or distribute – however you want to think about it) that $100 across all 20 pages.  This means that each page gets $4 worth of demand.  This would include any page that I viewed, including the checkout pages.  This is nice because no matter how many pages I am looking at I am not double counting revenue.  It makes it simple.  You can just add up whatever pages you are interested in and you have your revenue number.

The second way is participation.  this would give each page that I saw $100 worth of revenue attributed to it.  You probaly don’t need me to tell you – but I will anyway – you cannot add up multiple pages with this method.  If you did that for my hypothetical purchase you would get $2,000 worth of revenue participation.

It seems a bit odd, but there are definite uses for each way of looking at revenue.  The first way – distributed – seems logical at first, but then you are giving revenue away from an index or homepage and giving it to a checkout page.  There is not $4 worth of demand on each checkout page.  With participation, each page gets full credit, but then you cannot add up multiple pages.  Each has its place.

I hope that that clears up the difference between participation metrics and non-participation metrics, at least as far as it relates to those metrics from a page within a website standpoint.

Do you have a preference between these metrics?

This has been a Thought From The Cake Scraps.

So you know that you are tracked by e-mails.  You are going to beat the system.  You are not even going to use a search term to get to the website because you know Google will track you along with the website.  You are going to direct load – typing the URL into the address bar – and avoid being tracked.  Almost, but no.  Chances are that the site gave you a cookie last time you were there.  Oh well, you tried.  But that is not what this post is about.  Just because you got to the site without tracking, does not mean that you will not be tracked.

Internal campaigns are exactly what they sound like.  They are campaigns that are internal to the site.  A campaign is anything that the site is doing to try to get you to buy more stuff (or whatever the conversion metric would be, such as filling out a survey or something).  E-mails are campaigns.  Billboards are campaigns.  A site or company runs advertising campaigns. You get the idea.

The banner that you see across whatever site you are on is sure to include an element that says that you clicked it – a tag.  Note that I am only talking about a banner that is on the site and for the site, not an advertisement for a different site.  The advertisement for a different site would be an external campaign for the company that bought the ad.  We are talking about an ad for another item on your site – perhaps for an LCD monitor when you are looking at computers.  I call this a real estate campaign or an internal campaign.  I call it real estate because the site is tracking based on the tag on the banner and the site knows the location of the banner, the real estate. I call it an internal campaign because it is for another product that will take the visitor somewhere else internal to the site, not push them out the door to an external site.

So you clicked the banner and were tagged.  It is in this way that the site can track how often the banner is being used (instances) as a rate of how many people saw the page it was on (page views).  This also allows the site to understand where someone is clicking on the site.  Each area of the banner could contain a different tag, thus if you clicked the t-shirt you could get tagged with a value of tshirtclick while if you clicked the jeans on the same banner you would get tagged with a value of jeansclick.

Internal campaigns are very useful for a site because they allow for a wide variety of reporting.  The site will know how many conversions they got that clicked on the banner and how much revenue is associated with it.  This also is a much easier way to track traffic from a page.  Perhaps a single page has multiple banners and the site wants to know how many people clicked the banners.  With no tagging on the banners, all the site would be able to do is look at what pages visitors went to next and add them up.  For instance if there is no way to get to the jeans page from your home page and yet 20 of the 100 visitors took that path you can assume that they must have clicked on the jeans banner.  But then to add that up with the page that took them to the t-shrits and the page that took them to the pants, and to…etc. is a huge pain. By the time you get to the number of estimated clicks (because in theory they could have the page bookmarked or something like that) you won’t care any more.

Look for more the post forthcoming about purchase influencer tagging on Thoughts From Thee Cake Scraps.

Most people probably already know that they are being tracked.  There are all sorts of programs and ways to do this at all sorts of levels.  For instance your ISP may track you and give (sell) your data to a company like Hitwise – privacy policy can be found here.  I actually saw this in a newscast last week.   They interviewed some guy about what popular search terms are and tried to make it sound creepy.  Amazing! People search for weird stuff on the internet like “how to make bombs” and *gasp* “porn”.  This guy must be some sort of genius!  And he looks at historical data! Brilliant!

Hopefully you know that Google keeps track of everything you have searched for.  Ever.  Anyway, the part that people probably don’t know as much about is how individual sites track you.  One way a site can track you is by tagging you when you click through on an e-mail they send you – the focus of this post.  Think of tags as dated stamps in your passport book.  Interestingly enough, some of this tagging can be easily found in the address bar of your browser.

When you see something in the address bar that looks like emid=584783 that is telling the website that your internal – meaning site specific- e-mail address ID is 584783.  This value is unique to a single e-mail address. Each e-mail sent to that e-mail address will have their unique emid attached to all links in the e-mail. This also allows a site to build a history of that e-mail address – not only for activity, but for response rate as well.  Now every time you click through an e-mail for that site they have more history.  Note that larger sites rarely look at individual behavior but instead classify a behavior and then analyze that group.  Still, the information is there.

In addition to an e-mail ID, there is usually a campaign variable such as cid=Sep08FreeShipping.  This allows the site to report on everything with Sep08FreeShipping stored in the cid variable. All of this information is contained within the link that you click from the e-mail. If you get the e-mail and directly load their site, not through the e-mail, the activity will not be tracked because in a direct load no value would have been assigned to cid.

These variables do not have to remain in the web address the entire time.  They are stored in the background after the initial click. So when you no longer see emid or cid in the address bar, but originally arrived at the site through the e-mail, you and your activity is still being tracked.

Look for at least one more installment of how you are tracked. There I will focus more on how a site tracks internal campaigns. Hope this helped give some people a better understanding of how websites track you.

It is hard to value a picture of your family on vacation, of your friends at a party, or of your website 3 weeks ago.  As touching as the first two options are, this post will focus on the last of the three: a picture of your website.

Now for many people, this is not a big deal.  If you are running a blog or some other site that has a primary focus of serving content your website may not change much in appearance over the course of a few weeks.  But for the people that work with sites that have a focus of selling things with crisp pictures and captivating copy, things are  changing all the time – and analysts may or may not know about it.

As a beginner in web analytics, and in fact to marketing in general, it has become clear very early on that knowing why trends are changing in your data is nearly as important as the data itself.  What people want from an analyst is not “what is changing” but rather “why is that changing”.  Answering the first part will get their attention but very few people are content knowing that traffic is up 15% without knowing why.

Keeping a log of changes either manually or by writing a simple script – currently beyond my abilities, but a co-worker of mine whipped something up – is of great value.  Now we have a copy of what pages looked like on any day we want.  If the creative changes or a sub-zone on a division tab moves we have that change recorded.  With copies saved off, you are the owner.  Better yet, when someone asks for some analysis on your site’s homepage or division page you can not only show them the data and a cool graph, but an image of a pre-change and post-change look at the site.

It would be great if these things just happened or if the web analysts always knew what changes were happening when, but the reality is that that is not always the case.  If you manage the copies saved off you can always be sure you will capture the change, no matter if you are informed about it ahead of time or not.  If there is a question about content change, you can now look for yourself and deliver your analysis in a more timely and – more importantly – a more informed manner.

I’m not sure what a picture is worth, but a picture can turn data into information and information is priceless.

UPDATE: Just found a great example of this in an article written by Bryan Eisenberg.  You can find it here.  It deals with how people interact with Google search and how it has changed overtime.  Short, simple analysis but cool.