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The title of my talk was: Redefining WebAnalytics. The presentation covered the back story about my book, WebAnalytics: An Hour A Day , the back story about why traditional webanalytics finds itself in a pickle and presented my vision, definition and outline of WebAnalytics 2.0.
I got an email the other day with this simple question: "How do break into the world of webanalytics?" " Actually I get that question almost every single day. :). There is a ton of excitement about webanalytics. Analytics or start pimping your resume left and right. Why before what.
The Google Analytics team announced the release of seven features today. The next stage in the metamorphosis of the popular webanalytics tool. Along the way I'll share three different segments that you must have in your webanalytics tool. The Google Analytics API. Why Segmentation?
This thought was in my mind as I was reading Lean Analytics a new book by my friend Alistair Croll and his collaborator Benjamin Yoskovitz. In this post, we’ll look at each of the four steps in the Lean Analytics Cycle in more detail. But it is not routine. So, how do we fix this problem? Step 1: Figure out what to improve.
You have to have a deeper understanding of the business, an expansive knowledge of what is possible (and not just inside Google/Adobe Analytics), and, this is so, so, so important, the ability to balance the now and the near future. Focus on all three with everything you do with digital analytics. And that's not because we stink.
" In honor of that spirit, I'll take a step away from our mutual obsession with marketing and analytics and share with you the philosophies and values that guide me when I go to work every day. I've also collected a cluster of personal philosophies and core values that guide my day-to-day work.
and in this post I want to share a really, really simple framework for structuring webanalytics consulting contracts. , and in this post I want to share a really, really simple framework for structuring webanalytics consulting contracts. The WebAnalytics Consultant Quandary. What metrics should I use?
That's regardless of source: weather they use the religious truth from a Competitive intelligence tool or from their website webanalytics solution. So far all your analytics program knows is when a page was requested, hence: Tp = N/A [Not Available]. It was a real Doh (!) What a disappointment! en-US; rv:1.8.1.7)
It is quite likely that your company is spending tons of time, energy, and dollars on web marketing efforts yet conversion rates (or ROI) are stuck in the two to three percent range. It is almost instantly accessible in any webanalytics tool. WebAnalytics, CoreMetrics etc etc etc. Bounce Rate to the rescue!
Every believer in WebAnalytics 2.0 What comes from Google Analytics, Adobe Site Catalyst, WebTrends, CoreInsight / NetMetrics and more. In as much, heuristic evaluations follow a set of well established rules (best practices) in web design and how website visitors experience websites and interact with them.
Every post is about unleashing the power of digital analytics (the potent combination of data, systems, software and people). But we've never stopped to consider this question: What is the return on investment (ROI) of digital analytics? Let's calculate the ROI of digital analytics. and a mathematical formula (oh, my!),
It is the antidote for the most pressing of webanalytics challenges: the yearning and struggle to understanding the "Why" And its free! Have webanalytics data? Want to light a rocket fuel powered ability to take analytics to the next level? But the web can help. And you can have it today!!
The single biggest mistake web analysts make is working without purpose. No touching Google Analytics. No going to webanalytics 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.
You are not going to solve my problem of getting a single source of truth for all my web data?" Not " singlecity ", not on the web, not in WebAnalytics 2.0." But there were two concepts, one big and one small, that were key in developing my own thinking about webanalytics.
There is nothing particularly wrong with the standard 19,000 reports in your webanalytics tool. There is nothing particularly wrong with the standard 19,000 reports in your webanalytics tool. WebAnalytics and Google Analytics can create a view of data that will help you find faster insights.
Not just the hyper-fast access information and being able to call whomever you want wherever you are, but also in more fundamental ways around the globe by empowering farmers to get better rates for their crops, or helping children to learn in new ways, or making revolutions ever more efficient. Here's a representative example.
One of these day everyone will get that. Meanwhile you are the smart one, know that it is important that our "online analytics" morphs into true Multichannel Analytics, i.e. non-line analytics. Then you'll have a blue print for doing nonline analytics: Offline -> Online -> Offline.
" I did not even know 20% of our customers were from Australia and that 9 days ago they all stopped coming to our site. " " [For one approach to solving the unknown unknowns problem, and source of this framework, please see the second video in this blog post: Analytics Becomes Intelligent. . " Hello Insights! ].
Competitive intelligence, the "what else", is one of the core tenets of WebAnalytics 2.0. The reason is simple: The ecosystem within which you function on the web contains mind blowing data you can use to become better. Your traffic grew by 6% last year, what was your competitor's growth rate? In May 2010 (!).
I get a lot of emails with questions, atleast 10 to 15 each day. "Dear Avinash" is an occasional series where I share some of my answers that might benefit the greater ecosystem. Or you just hired me to do consulting for you this year at $10 per hour? Let's go. the question first.
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. WebAnalytics group but 20 mins of each day is spent reading all the posts.
YouTube Marketing and Analytics Framework for Success. hours of YouTube every month. hours of YouTube every month. One more thing to ponder… One hundred hours of video is uploaded into YouTube every single minute, as of May 2013. And rather than just being content you watch, it is content you watch, share and shape.
It’s implications are far and wide, even in the narrow scope that I live in (marketing, analytics, influence). Machine Learning | Analytics. A rare post today. It looks a little further out into the future than I normally tend to. It attempts to simplify a topic that has more than it’s share of coolness, confusion and complexity.
If you use Omniture's Site Catalyst or Google Analytics or whatever, they do a good job of collecting clean data into those two segments. It takes years to get good at it, and once you get good at it you realize how much more there is to learn. That is part of the joy. You are always learning. You are always growing. Let's do this.
Why not the Visitor behavior in the 30 days after sign up? How about this… Rather than measuring membership sign ups why not wait 30 days and look at the Recency report for Visitors that came to the site as a result of that campaign? And this is key… 2) They visit every day, or every other day, or every few days.
I am thrilled to say that my book WebAnalytics: An Hour A Day has been published and is now widely available. Five Reasons Why You Should Buy WebAnalytics: An Hour A Day: WebAnalytics: An Hour A Day for the first time provides a Practitioner's in the trenches perspective on webanalytics.
They expose a person's critical thinking ability (something I highly recommend you test when you hire web analysts: Interviewing Tip: Stress Test Critical Thinking. When someone asks you an open ended question, at least connected to web analysis, here's what's important. That is why I love asking open ended questions!
I am absolutely thrilled that my book WebAnalytics 2.0 I only had one job, at Intuit, when I wrote my first webanalytics book. The Pitch: I invite you to consider buying my second webanalytics book. Here's why I think you'll love it: Chapter 1 The Bold New World of WebAnalytics 2.0.
billion users (watching 6 billion hours of videos!). I believe that every human with time to spare, and a connection to the web, should be on social media. Facebook, at last count, has 1.5 billion monthly active users. YouTube has 1.2 Instagram has an estimated 400 million users. Those are some big gigantic numbers! Humans, check.
This post bravely attempts to: 1 ] Highlight the importance of holistic multichannel analytics. That's why multichannel analytics is so important. Here's your online data: You are capturing the above information using your web log based or javascript tag based webanalytics tool. Two words: Primary Key.
In a world that is as "action challenged" as our world of webanalytics, we should welcome behavior targeting with open arms. Or even take action every few days. I am a NPR junkie (and support my local station KALW ). Now that NPR has covered this I feel I am late to the party!! And thousands more are coming.
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 ….
You know exactly what is necessary in order for your company to achieve WebAnalytics 2.0 At the end of one of my speaking engagements you come up and say " Thanks Avinash, that was really great, you've opened our eyes. ." " Or " We have been banging out heads on this one for six years."
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.
about digital marketing and analytics. For some answers, What is Avinash's typical day like? Hour-by-hour report please. :)? Hour-by-hour report please. :)? , Even the worst analytics configuration in the world will most likely allow you to measure cart and checkout abandonment rate.
This post is a collection of six things I wish I knew before I started my career in decision support systems (of which webanalytics is just the latest incarnation). The smallest part of my success, and yours, will come from having the prefect implementation of the Omniture Marketing Suite or Google Analytics.
WebAnalytics blog was to pull us up 10,000 feet to do something we do less than 1% of the time in the webanalytics world – look at the bigger business picture. It was called: Secret To Winning With WebAnalytics? " How would I start the process of web data analysis right? Starting Right!
Michael, politely, says in an email: "I have done webanalytics for five years, I have mastered Omniture, WebTrends and Google Analytics, I provide analysis and not just reporting. I feel like am an Analytics God. Every Web Analyst (or really Business Analyst) of any sort finds themselves at that critical point.
Here's a graph that shows how US adults consume media, it shows time in hours. Remember, when someone says mobile analytics, first ask the clarifying question: Do you mean mobile application or mobile website ? Nothing I can tell you about the importance of having an incredible mobile strategy will surprise you. Many reasons.
Here you'll find all my blog posts categorized into a structure that will hopefully make it easy for you to discover new content, find answers to your questions, or simply wallow in some excellent analytics narratives. " ~ Digital Analytics: "Am I thinking right? " ~ Web Metrics: "What is a KPI?
Is there anything in the analytics space that is so full of promise and hype and sexiness and possible awesomeness than "big data?" Here's the "bigger webanalytics data" picture from 2007… Multiplicity! " I don't think so. So what is big data really? No one quite knows.
Progress in digital marketing and analytics in either scenario becomes painful (the organization / systems / thinking is simply not in the optimal position). One day your leadership realizes you stink at digital (all of it or just Facebook or search and display or mobile or whatever). Business results suffer. Still, reality is reality.
The very best analysts practice the above principles every day in every dimension of their jobs. They are from my post The Biggest Mistake Web Analysts Make… And How To Avoid It! It is that practice that I try to discern when I do job interviews. But, what if we did not have that opportunity? We have to really get good at this.
Before I get any further I wanted to mention that I am the Analytics Evangelist for Google. I still can't get used to the fact that every day when I walk into a cafe the food is different and delicious and healthy and mostly organic. Interesting, fun, surprising, insightful, inspiring, impactful, and more such words.
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