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The 80/20 rule applies to our use of webanalytics tools as well. Ok, not so much hurts my feelings and more that I'm sad you are not taking advantage of all of the features at your disposal to drive smarter decisions by your leadership teams. GoogleAnalytics Shortcuts: Save Your Complex Views.
In the coming year, based on current announcements , GoogleAnalytics is set to go through an almost unprecedented amount of evolution. My favorite is Visitor Analytics, and visitor level segmentation that will be pervasive throughout the product. This is insanely cool.]. Each selection by me of a top ten (standard!)
In this post about an important Google change, I want you to focus less on the data and focus more on the methodology. And – so important – I want you to help me with your ideas of how we can do this impossible analysis better, in the complete absence of data :). Google visits: 26,548.
A couple weeks back I'd requested the nice folks following me on Google+ and Facebook to submit their most important digital marketing and analytics questions. The questions reveal a bunch of things we used to worry about, and continue to, like data quality and creating data driven cultures.
It is painfully heartbreaking to realize that a very small tiny number of people who have access to webanalytics tools actually use them. Ravaging data. Leverage Custom Alerts – Let Data Kick Your Butt Into Action. #3. In-Page Analytics – Re-imagine Traveling Through Data. #5. I mean really use the tools.
Culture is a stronger determinant of success with data than anything else. Including data. People + Process + Structure] > [Data + Technology]. You want to win big with data, with marketing, with transformative digital yada yada and blah blah, evolve. Step 6: Data-driven Attribution Modeling. At least for now.
and in this post I want to share a really, really simple framework for structuring webanalytics consulting contracts. The WebAnalytics Consultant Quandary. From what I understand, I would be creating a WebAnalytic Report and giving my recommendations. Data Reporting. DataAnalysis.
There are few things more complicated in analytics (all analytics, big data and huge data!) There is lots of missing data. And as if that were not enough, there is lots of unknowable data. Multi-Channel Attribution Analysis. ~ than multi-channel attribution modeling. " low. Grab a Red Bull.
Every indicator we have is that companies are investing more in every facet of analytics. There is an analytics ladder of awesomeness each company needs to climb, and it just takes time. First… it is important to realize that big data's big imperative is driving big action. You know what your Return on Analytics is!
You know what is the one thing stopping you from finding truly actionable insights from your webdata? Webanalytics gems lie deep in the data and we spend our lives looking at the top ten rows of data. We look at the top ten rows of data because: 1. Too much data from our webanalytics tools.
" That quote comes to mind when I think of a new feature in GoogleAnalytics that carries the unassuming name of Weighted Sort. We have a very long tail of data in webanalytics. Hence I have persistently evangelized the need for true Analysis Ninjas to move beyond the top ten rows of data to find insights.
This blog is centered around creating incredible digital experiences powered by qualitative and quantitative data insights. Every post is about unleashing the power of digital analytics (the potent combination of data, systems, software and people). Let's calculate the ROI of digital analytics. Isn't it amazing?
That's not including others I actively seek out around the web. I want to constantly be in the know of new and more clever ways of working with data, tools that are often solutions to problems we don't know we have yet or tools that are sometimes seeking problems to solve!! More desire to be data driven.
A smaller percent of those Marketers / Web Analysts will move beyond clicks and measure Visits / Visitors and Bounce Rates to measure success. That is truly doing the kind of Analysis Ninja work that solves tomorrow's problems today! You'll work with your acquisition team or your finance team to get the cost data.
Dataanalysis is not easy. I love that the analyst is segmenting the data rather than showing the aggregate trend ("all data in aggregate is essentially crap" – me). But there is something fundamentally wrong about this analysis. That is part of the joy. You are always learning. Found the problem?
It’s implications are far and wide, even in the narrow scope that I live in (marketing, analytics, influence). Machine Learning | Analytics. Google Photos. Google Photos uses AI to solve this problem. Google Photos has to be able to recognize the content all on it’s own. AI | Now | Global Maxima. Humans took 2.5
There is unlimited amount of data thrown off our digital existences. (Or Or to use sexy term du jour , we have big data!). The people who see the data will ask very different questions. None of the digital analytics tools make it easy to measure true profitability. What's the one thing I should care about?
There are three elements to our "big data" efforts, or unhyped normal data efforts: Data Collection, Data Reporting, and DataAnalysis. More on that here: DC-DR-DA: A Simple Framework For Smarter Decisions.). Data presentation! Your data presentation is your brand. #2.
I am often asked what we look for when we hire Web Analysts or what quality do good Analysts possess or how to measure if a resource that already exists is optimal or how to mentor / motivate / guide our more junior Analysts to propel them to become great Analysts. We all agree that reporting is not analysis.
The universe of digital analytics is massive and can seem as complex as the cosmic universe. Even simple questions like “ How effective is our analytics strategy? Soon, your digital analytics strategic framework that you hoped would provide a true north to the analytics strategy question looks like this ….
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.
In late 2011, Google announced an effort to make search behavior more secure. Snowden, Google has now switched almost all users to secure search, resulting in even more user search queries showing up as not provided in all webanalytics tools. That of course will mean more referring keyword data will disappear.
In a Q&A after a keynote a couple of years ago, I was asked: " When will traditional business analysis subsume the webanalytics silo? " " My reply: " All business will ultimately be digital, so, if anything, webanalytics will subsume business analysis! " Business analysis.
Weather you do online, offline, nonline analysis, or just randomly playing with data, insights arrive faster with segmentation. In fact I've gone so far as to say: "All data in aggregate is crap." This post covers an important evolution in GoogleAnalytics' segmentation power. Come back excited.
Custom reports allow you to package up entire datasets for deeper analysis. You can download them into your GoogleAnalytics account via one click (along with some lovely Advanced Segments and a Dashboard). Many custom reports are wrong because we mess up the fundamental data model in analytics.
We have access to more data than God wants anyone to have. Thus it is not surprising that we feel overwhelmed, and rather than being data driven we just get paralyzed. In fact a data driven life is sexiest digital life you can imagine. For Search it is in your GoogleAnalytics or Omniture Site Catalyst reports.
We are doing attribution analysis. Today, let me unpack the crucial differences between attribution and incrementality to empower you – and your Senior Leaders – to have intelligent discussions about the actual problems you need solved, and justify an investment in additional Analysis Ninjas. So much sand, so little water.
Every Analysis Ninja knows that standard reports are lame. Custom reports on the other hand are, well, hand crafted by you for a specific purpose with a set of guiding principles (" Acquisition, Behavior, Outcomes! ") that ensure that they don't so much deliver data as much as deliver insights. Criminal behavior.
Would you believe me when I say that your digital analyticsdata, from GoogleAnalytics or WebTrends et. We do have A LOT of data in our analytics tools. But sometimes going outside our analytics tools can yield non-normal insights that can deliver a competitive advantage. Perhaps you are skeptical.
Half-way through this post, you'll seriously wonder why you've spent so much time obsessing with Adobe/GoogleAnalytics/Chartbeat or other webanalytics tool. When you are done reading the post, you'll be super mad that your marketing strategy is not more influenced by your competitor's data!
The art of analysis often fails to deliver ginarmous success simply because of how limited our worldview is when we go about identifying bottom-line impacting insights. " comfort zone, and out of your GoogleAnalytics, Site Catalyst, WebTrends worldview silo. That data is not in GoogleAnalytics.
Analysis Ninjas are valued less than I would prefer for them to be. The post is also sourced from a recent edition of my newsletter, The Marketing – Analytics Intersect. If you are curious, here is a April 2011 post: The Difference Between Web Reporting And WebAnalysis. Just data puking. I heart you.
My last post, perhaps provocatively, called for a reduction of data in executive dashboards (digital, online, offline). More English (IABI, specifically) would lead to a smarter understanding of performance, and of course glory for data practitioners. This is an easy module to create in GoogleAnalytics (or any other tool).
In a world where we are overwhelmed with data and metrics and key performance indicators and reports and dashboards and. To share with you three custom reports that I find to be super valuable when I am doing webdataanalysis. WebAnalytics or Site Catalyst or WebTrends.]. #1: So you, and I, do nothing.
The outcome of book smart is rarely better for analytics practitioners then folks trying to learn how to fly an airplane from how-to books. Hence, I have been obsessed with encouraging you to get actual data to learn from. This is all the way from Aug 2009: WebAnalytics Career Advice: Play In The Real World!
Sadly execution and analysis of these new social media channels has been hobbled by old world thinking. When it comes to marketing because of the old world thinking from the worlds of sTelevision and Magazines, and when it comes to measurement because of the world of traditional webanalytics. My new book WebAnalytics 2.0
The very best analysts are know what matter’s the most are not the insights from big data but clear actions and compelling business impact from usually a smaller subset of key data. They are from my post The Biggest Mistake Web Analysts Make… And How To Avoid It! Remember: All data in aggregate is crap, segment or suck.
There is, almost literally, an unlimited number of things you could focus on to create a high impact data-influenced organization. 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!)
There are more mistruths and F U D about Webanalytics out there than I think is reasonable. Part of it is fueled by a vocal minority genuinely upset that 10 years on we are still not a statistically powered bunch doing complicated analysis that is shifting paradigms. The web is changing too fast. This is sad.
It is not quite about webanalytics, not quite about data you can just get from WebTrends or GoogleAnalytics, and not quite about just making yet another pretty chart. We have too much data on the web. They are hardly unique in creating compound metrics in the social analytics space.
I am not, and this post is all about getting the data to show you that I am indeed not being sarcastic. I am insanely excited that we can track ad blocking behavior in GoogleAnalytics, so easily. Technical how-to implement enhanced code guidance (Google Tag Manager or direct). Ad block: #wth. Honestly, it is that easy.
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. A vast majority of us out there are data rich, information poor. : (.
Analysts, honestly, make the world go round when it comes to any successful business – yes, data is that important. I've written about the biggest mistake web analysts make. Today's post is an adjacent mistake: The cardinal sin of spending too much time with data and in reports! BUT I Want Data-First!
So to make up for that this post covers some of the “technical” best practices around tracking with your webanalytics tools, especially if you are using JavaScript tags. Often the job of implementation is left to the friendly neighborhood IT person and your webanalytics vendor. This is sub optimal.
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