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But the problem is that single golden metrics hide valuable insights and, more often than not, drive bad behavior. (In So, how do we fix this problem in a responsible manner? Here's my proposal: If you are pushed to have a single golden metric, give it a partner. Or to use sexy term du jour , we have big data!).
Each of the six visuals re-frames a unique facet of the digital opportunity/challenge, and shares how to optimally take advantage of the opportunity/challenge. 1: How to Win, Really Win, at Digital: One-Time PLUS Many-Time Relationships. It delivers conversions when I visit your site once and buy something. Let's do this!
The 80/20 rule applies to our use of web analytics tools as well. I recommend that periodically you gather folks around you for lunch, pull up Adobe Analytics on the big screen in the conference room, let each person expose one hidden report or feature. Most of us use just a small amount of power our tools contain.
It is painfully heartbreaking to realize that a very small tiny number of people who have access to web analytics tools actually use them. with the reports and features you can already access. In-Page Analytics – Re-imagine Traveling Through Data. #5. Matched Query Type, Keyword Position, Day Parts: Sexier PPC Analytics. #7.
I'm immensely excited about how completely mobile platforms impact our lives. I'm a lot less excited when I think about the imagination that we've brought to bear on mobile platforms and business/marketing. They are still stuck, for the most part, in 1980s thinking. Customer acquisition.
No touching Google Analytics. No going to web analytics conferences. The result will be an astonishingly high level of focus for your digital analytics work (even on day one) and hyper-relevant insights to the business. Sadder still, we don't ask questions later. We never ask questions. No questions. Our work lacks purpose.
Direct traffic contains visitors that proactively seek you out, everyone else you have to "beg" to show up on your site! Here is the simplest and cleanest definition: Direct traffic contains all Visits to your website where in people arrived at your site directly (by typing the url) or via a bookmark.
It also handy explanations of the metrics, with key context where necessary. But kill that thought for a moment and marvel at what it actually as and how good it is. Just imagine how useful it would be in a non-analytical environment like a museum. Yes, it does summarize data from many reports into one.
I believe that we have never answered the first question. " The second question was never answered either, but because all businesses know is how to pimp that became their default strategy. I believe that every human with time to spare, and a connection to the web, should be on social media. The benefits are numerous. Humans, check.
My professional areas of interest cover Customer Service, User Experience and Finance, though here on Occam’s Razor my focus is on influencing incredible Marketing through the use of innovative Analytics. First… The Analytics top ten things to focus on to elevate your game this year…. The Step Change Analytics Obsessions List.
Nothing I can tell you about the importance of having an incredible mobile strategy will surprise you. Mobile devices (phones, tablets, wearables) are transforming how we behave, how we buy, how we consume content, and dare I say how we become happy or we become sad. Our mobile websites. Many reasons.
In a Q&A after a keynote a couple of years ago, I was asked: " When will traditional business analysis subsume the web analytics silo? " " My reply: " All business will ultimately be digital, so, if anything, web analytics will subsume business analysis! " Universal Analytics: What the heck is it?
The very best analysts are comfortable operating with ambiguity and incompleteness, while all others chase perfection in implementation / processing / reports. There is no golden metric for everyone, we are all unique snowflakes! :). and tell you what are the best key performance indicators (metrics) for them.
about digital marketing and analytics. For some answers, What is Avinash's typical day like? Hour-by-hour report please. :)? , We will cover questions in four areas: business/strategy challenges, analytics/technical challenges, career/self-development questions and rampant speculation. Let's do this!
Half-way through this post, you'll seriously wonder why you've spent so much time obsessing with Adobe/Google Analytics/Chartbeat or other web analytics tool. Competitive Intelligence Analysis: Why, What & How to Choose. CIA also formed one of five foundational elements in my best-selling book Web Analytics 2.0.
FBe's recommendation was (paraphrasing a 35 min talk): Don't invent new metrics, use online versions of Reach and GRPs to measure success. Facebook has an incredible audience, 950 million strong and counting. This audience is immensely attractive to Brands and Marketers around the world. Gets more Likes. It was huge. Facebook works.
Web Analytics tools have become pretty feature rich, and the future promises to bring even more goodies ( Universal Analytics anyone?). This particular problem exists primarily because Analytics allows us to create custom reports. It will be critical that you are familiar with what a metric is and what a dimension is.
To ensure customer delight was delivered in a timely manner, it was also decided that Average Call Time (ACT) would now be The success metric. You’ll be surprised how small that number is. The success metric, ACT, did go down. Reporting/dashboards were terribly created ( CDPs anyone? They hurt ACT, and comp.
Almost all metrics you currently use have one common thread: They are almost all backward-looking. If you want to deepen the influence of data in your organization – and your personal influence – 30% of your analytics efforts should be centered around the use of forward-looking metrics. Predictive metrics!
Here's important context (before we get into the rules for revolutionaries)… The Fundamental Web Analytics Problem Is Not Data! If you are doing lame stuff, why try harder in an analytics context by asking for Economic Value or Visitor Loyalty or Conversation Rate or a thousand other super powerful and insightful metrics ?
The last blog post shared custom analyticsreports that you can use to find amazing insights faster, enabling you to create a focused, truly data driven organization. I am an unabashed segmentation fan: Web Analytics Segmentation: Do Or Die! How can you not love that? Web Analytics or WebTrends or. Let's go.
Predictive analytics. If you are a reader of my newsletter, The Marketing < > Analytics Intersect , you’ve seen me apply it to metrics (last TMAI was on Bounce Rate), reports, frameworks and more. I was already logged into the site and thus found this to be a bit of a nuisance. Media mix modeling.
In the post Adil commented that he's observed that attribution modeling is missing from most web analytics dashboards. The post also shares a total of seven complete modules to your digital analytics dashboards. This is an easy module to create in Google Analytics (or any other tool).
Today's post is an adjacent mistake: The cardinal sin of spending too much time with data and in reports! Yes, I worry that Analysts, and Marketers, are spending too much time with their head buried in custom reports and advance segments and smart calculated metrics and strategic or tactical dashboards.
If you don't have goals, you are not doing digital analytics. We were brain storming about the next cluster of coolness for Analytics, the conversation quickly went to what Analysts need to look at on a daily, weekly and monthly basis. Now, all those other metrics suddenly have a purpose and context. Let's back up.
And, as if unlimited is not enough, nearly every month your analytics vendors release new features, you discover new analytics solutions, and as your business is more successful (hurray!) In a world when your work will never be done, how do you assess that the core things necessary are present? It is not even an analytics tool.
Mobile web is dead. Apps are the past, present, future. You're welcome to jump to the one that is most pressing for your organization, though I recommend reading them sequentially as I've grafted connective tissue from one story to the next which will help you see how each of the five is a part of a grand story.
In turn, that will help you figure out where and how much to dig to understand performance. If you've read my first book Web Analytics: An Hour A Day, you know that I've advocated this strategy since 2008! So how can you use your own data? If you have set the targets for your KPIs up front (Unique Visitors for Sept.
In posts about advanced segmentation , in posts about how to build strategic dashboards that don’t suck , in encouraging you to reimagine how you pick metrics to obsess about using the magnificent Impact Matrix , and on and on and on. Go for insights! The Problem. In time, I've come to hate the word insights.
While there is a great deal of appreciation for the power of metrics/data, I've come to realize that Sr. Leaders don't quite appreciate the deep, and often corrosive, consequences of choosing metric x over metric y as a key performance indicator (KPI). (Or die trying.) Ascend to corporate heaven. Don't believe me?
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