Tips on Visually Measuring Your Traffic Sources

April 10, 2008 – 10:30 pm
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Measuring what sources are driving the highest quantity and quality visits to your site is one of the fundamentally most important (and easiest!) things a web analyst can do.

But from many that I’ve spoken to, their traffic sources report usually doesn’t look much different than this:

Example of a Traffic Sources Report

Then if you’re really lucky you get a slick visual summary of that data in the form of a pie chart!

Pie Charts - WOW! :)

I’ve got no problem with either of the two ways of displaying data - they both serve to summarize data very well. I’ve only got one question…

Where are my insights!?

The observations I can make from the information above:

  • Looks like a lot of our traffic comes from some other site
  • Some people come directly
  • Not many from search engines

But the questions I’m left with:

  • What do they do from these sources?
  • What about paid versus organic search?
  • What about RSS feeds / e-mail / affiliates? Can’t I see these separately?
  • And a whole lot more!

The point is, the presentation of the information above probably creates more questions than answers. But there is a solution!

Here are some useful tips I’ve found for really getting insight out of your traffic sources reporting:

1. Decide on your sources

Your organization is likely complex with a lot of different things going on. You may have e-newsletters, e-blasts, Facebook applications, RSS feeds and who knows what else! All of these efforts may be bringing significant traffic to your website but you may not know.
Talk to people in your organization (marketing is a good start) and try to get a list of all the on-going efforts right now that potentially drive traffic to your site. Try to group all of these efforts into 7-8 main groups. Anything more than that begins to get a bit too detailed and prohibits you from seeing the forest from the trees.
For example you may have:

  1. Direct Traffic
  2. E-mail (Newsletters, eBlasts)
  3. RSS / Atom Feeds
  4. Paid Referrals (aka Content Alliances)
  5. Non-Paid Referrals (all referrals that you didn’t pay for)
  6. Paid Search
  7. Organic Search

Make sure that for each group you define the group well so that everyone is on the same page about what’s being included where.

2. Set up tracking on your sources

Now that you know what you want to measure you’ll likely need to put a bit of effort into getting things tagged.
For most analytics tools, tracking these sources independently is as simple as adding a little tag to links in each of these sources so that the tool can identify it.

For example, in my RSS feed, all links have Google Analytics tracking codes

Google Analytics tracking in RSS Feeds

The text that’s underlined above tells Google Analytics, “Hey! This visitor came from the RSS feed so group them in there!”

You’ll have to work with your analytics vendor to know what parameters you’ll have to use, but the method should be similar.

3. Report and find those insights!

Now that you’ve got all that awesome data pulled into your favourite web analytics tool you need a concise way to report on it so that those insights just scream out at anyone looking.

Here’s the most important nugget (in my humble opinion) of this entire article. This is all based on experience, but after a few times of people throwing my reports in the trash, I found what worked for them!

Traffic Sources / Marketing Dashboard

Let’s take a look at the structure of the report first. As you can see from the two biggest headings the only two things I’m really trying to keep track of with this dashboard are:

  1. Traffic Quantity and
  2. Traffic Quality

Basically all I want to know is:

  1. Am I getting traffic and if so, what source do I have to thank for it?
  2. Of my ways to improve traffic, which are the most profitable for me?

With that being the “big picture” let’s drill into a few of these graphs.

Am I getting traffic? And if so, who do I thank?

Traffic Source Volume by Source

Traffic Contribution by Source

I love these staked bar graphs, I think of them as a time-series pie graph. I can quickly tell if traffic has been increasing or decreasing from month to month and within seconds I know exactly who I have to thank.

While this is great, I still don’t have any idea if the quality of traffic from these sources was any good. Did they convert? Did they bounce? Did they puke?

Which of my sources are providing the highest quality traffic?

Traffic Quality by Source

My absolute all time most favourite (that’s right favourite - I’m Canadian eh?) graph. What I’m looking at here is

  • Pageviews per Visit along the horizontal axis
  • Bounce rate along the vertical axis and
  • Visits determine the overall bubble size

Now I’ve chosen Pageviews per Visit and Bounce Rate here because those are the three metrics that currently provide the best indicator of traffic quality. If you were an e-commerce or lead generation site you may graph Bounce Rate along the vertical and Conversion Rate along the horizontal.

Generally I like to ensure the bubble size is still related to a traffic quantity metric like visits or unique visitors. This is simply to ensure you don’t spend a lot of time optimizing a high quality source that can only bring in 1% of your overall site traffic.

Traffic Profitability by Source

This second graph may require a bit of explanation. Essentially the optimal goal of analyzing your marketing sources (or traffic sources) is to understand return on investment.

So to understand ROI, we need to know our cost per visit and revenue per visit by source. You can literally devote a whole blog post to understanding how to calculate cost per visit and revenue per visit for different websites.

For my blog, my value equations are pretty simple:

Revenue per Visit = (Pageviews per Visit x Ads per Pageview) / 1000 x CPM

Cost per Visit = $0! (The costs in the chart above are added just to illustrate what it could look like - actually the revenue numbers are fake too :))

(In case you’re wondering CPM is available for AdSense customers but is listed as eCPM as Google doesn’t actually provide publishers with any money for the number of impressions they provide.)

When I spoke at eMetrics a lot of people asked me how they can get through to their boss or senior executives about web analytics. If you really want to connect with them, stop talking about web analytics, talk about what’s on their mind - revenues and costs!

4. Go ask for that raise!

Now that you’ve given your marketing team and organization the tools they need to properly understand where to allocate their budgets for maximum profitability, head up to your favourite HIPPO and ask for a raise!

I’d love to hear from you! What are your thoughts on this dashboard? What’s missing? What would you add?

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New Blog KPI Dashboard!

March 9, 2008 – 4:43 pm
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For those of you that have visited my old “Blog Metrics” page, you may have noticed that it’s a pretty sad excuse for a dashboard.

Old Blog Dashboard

No use of KPIs or anything that really lets you know how the blog is performing.

Well I’m slowly but surely aiming to change all that.

Please take a look at this blog’s new and improved dashboard!

New and improved blog performance dashboard!

The KPIs that I’ve selected are largely based on a previous post relating to the most important metrics for content-based sites. I’ve also made the dashboard downloadable in Excel if you’d like to compare it to your own results (not to mention adding a few slick sparklines for basic metrics :) ).

My reasons for producing this dashboard are really two fold:

  1. Help other fellow bloggers with relative metrics in order for them to know if their performance is “good” or “not so good” :)
  2. Provide a demonstration of the power of storing your KPI information in a relational databaseOn that second note, all the data you see in the dashboard is stored within a database on my web server. The benefit of this of course is that I’m able to pull from this datasource anywhere I want! The web-based dashboard you see is only one incarnation, I also am pulling this information into an Excel spreadsheet I plan to publish soon.

Thoughts and opinions are always welcome!

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eMetrics Summit - Web Analytics on Steroids!

March 4, 2008 – 10:21 am
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eMetrics Summit - See me speak!If you’re any kind of veteran (and by that I mean 2-3 months :)) in the web analytics field you’re probably already well aware of eMetrics, but if you’re not this is for you.

Here’s a short shpeel on what the conference is and why I personally think you should be signing up.

What is the eMetrics Summit?

The eMetrics summit is the location to learn more about web analytics and really - how to use online data to improve your website for your visitors or customers. Learn about the terminology, the tools, the best practices and the pitfalls to avoid from industry gurus as well as people just like you!

Who should attend the eMetrics Summit?

Basically anyone who interacts with and is responsible for a portion of the online channel. Whether you manage content, usability, paid search marketing, e-mail marketing or your entire website - this conference is for you.

Why should I attend the eMetrics Summit?

You mean besides the fact that yours truly will be speaking? :)

To be honest, the only summit I’ve attended as of yet was last year’s in Washington D.C. but I’ll go on record saying if you have the budget for only one conference all year, make it eMetrics.

Knowledge

The knowledge you end up with at the end of the day can honestly almost make you dizzy (in a good way!).

I came back from Washington with presentations to share with many people in the organization. In fact, I recall that within Rogers, eMetrics filled me with info to share with: executives, paid search marketers, content creation and management folk, our business analysts and even our finance guys!

What I’m trying to say is that the conference isn’t just about web analytics, it’s about online optimization.

Contacts

The people you’ll meet and connections you come away with are incredible after an eMetrics summit. Here are a few people I’m happy to say I’ve now had the pleasure to correspond with (some on a fairly often basis!):

  • Eric T. Peterson - CEO - Web Analytics Demystified
  • Avinash Kaushik - Author / Blogger /Analytics Evangelist, Google
  • Brett Crosby - Senior Manager Google Analytics, Google
  • Rachel Scotto - Executive Director, Sony Pictures Entertainment
  • June Li - Managing Director, ClickInsight
  • Eric J. Hansen - President, SiteSpect
  • Braden Hoeppner - Director Web Sales, Coastal Contacts Inc.
  • and more!

Just think about it - the people at eMetrics are literally the brightest in the industry and you’ll meet all of them, share your stories and at the end of the day, have a new buddy to call on!

Where is the eMetrics Summit?

The eMetrics summit is actually in a number of cities: Toronto, London, San Francisco, Washington D.C., Stockholm and Munchen! Check out the website for more info. Right now, I’ll be most concerned with Toronto :).

Toronto Marriot Downtown Eaton Centre Hotel

525 Bay Street

Toronto, ON, Canada

M5G 2L2

When is the eMetrics Summit?

The Toronto summit is March 31 - April 2, 2008 but the early bird registration date (save $200) is
March 9!

Booked that ticket yet?

What are you waiting for!? Book your ticket and flight if you need to and make sure you’re there! :)

If you have any questions at all please feel free to contact me at mike.sukmanowsky@oddinteractive.com.

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Web Analytics and Net Present Value - Part 1

February 24, 2008 – 10:12 pm
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Companies with projects that deal with the internet in someway always surprise me.

Say a company like Ford was evaluating the purchase of a major piece of machinery that was expected to increase plant efficiencies. These efficiencies resulted in the plant being able to produce x more number of cars per day.

There’s no way executives at Ford would approve the purchase without their finance department performing some analysis.

Specifically, at a bare minimum I’m sure executives would want to know the project’s net present value (NPV), payback period (PP) and return on investment (ROI).

None of the above calculations are difficult (in fact, a few seconds in Excel produces the results!), the work all lays in the underlying assumptions that feed the simple formulas.

For most web firms however ROI is often the only metric ever discussed (and often only at a very high level). It isn’t that NPV or PP is impossible to calculate for web-based projects, but the analysis can be slightly more difficult. Often the difficulty is only rooted in the fact that many people don’t understand the relationships between revenues and costs behind online businesses.

I’ve taken a stab at writing a business case that demonstrates how to use web analytics to evaluate a project’s net present value. Please check out the following two files and let me know what you think!

Download the business case and the background! Download the NPV analysis and the answer!
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