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When I say this is the ultimate guide for learning how to do amazing competitive intelligence analysis, the above list should clearly demonstrate that I'm not kidding around. You are going to learn A Lot! My recommendation is to make sure you read the foundational concepts/caveats first (and twice). Without it, you are not going to shed your imprecise assumptions/impressions/past beliefs, nor lear
Data Visualization Inspiration: Analysis To Insights To Action, Faster! Like a vast majority on planet Earth, I love data visualizations. Ok, so perhaps as the author of two bestselling books on analytics I love it a little bit more! There is something magical about taking an incredible amount of complexity and presenting it as simply as we possibly can with the goal of letting the cogently presen
Best Metrics For Digital Marketing: Rock Your Own And Rent Strategies In a world of infinite choice, the ability to pick critical few metrics to focus on is, well…, critical. It is the difference between plodding along, or winning big. But choosing what to focus on is extremely hard. You have to have a deeper understanding of the business, an expansive knowledge of what is possible (and not just i
Multi-Channel Attribution Modeling: The Good, Bad and Ugly Models There are few things more complicated in analytics (all analytics, big data and huge data!) than multi-channel attribution modeling. We have fought valiant battles, paid expensive consultants, purchased a crazy amount of software, and achieved an implementation high that is quickly, followed by a " gosh darn it where is my return on
The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act This should not be news to you. To win in business you need to follow this process: Metrics > Hypothesis > Experiment > Act. Online, offline or nonline. Yet this structure rarely exists in companies. We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else
Multi-Channel Attribution: Definitions, Models and a Reality Check A wise person said: "To guarantee success, spend 95% of your time defining the problem and 5% of the time solving it." I believe deeply in that quote. In my life I spend an extraordinary amount of time understanding the problem and attempting to define it clearly. As if by magic, I find that it is then much easier to find the optim
Is there anything in the analytics space that is so full of promise and hype and sexiness and possible awesomeness than "big data?" I don't think so. So what is big data really? No one quite knows. As I interpret it, big data is the collection of massive databases of structured and unstructured data. The data sources include traditional (now considered puny) sources like corporate ERP/CRM systems
Best Web Metrics / KPIs for a Small, Medium or Large Sized Business 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. Life does not have to be that scary. In fact a data driven life is sexiest digital life you can imagine. In this blog post we are going to bring the sexyback. I am
Best Social Media Metrics: Conversation, Amplification, Applause, Economic Value I am going to break one of my unspoken cardinal rules: Only write about real problems and measurement that is actually possible in the real world. I am going to break the second part of the rule. I am going to define a way for you to think about measuring social media, and you can't actually easily measure what I am g
3 Awesome, Downloadable, Custom Web Analytics Reports In a world where we are overwhelmed with data and metrics and key performance indicators and reports and dashboards and. . . sometimes all it takes to make some sense of all this "mess" is someone stepping up to share a tiny slice of wisdom from their experience. That's my plan for this blog post. To share with you three custom reports that I f
There is one difference between winners and losers when it comes to web analytics. Winners, well before they think data or tool, have a well structured Digital Marketing & Measurement Model. Losers don't. This article guides you in understanding the value of the Digital Marketing & Measurement Model (notice the repeated emphasis on Marketing, not just Measurement), and how to create one for yourse
Best Web Analytics 2.0 Tools: Quantitative, Qualitative, Life Saving! What is the first thing you want when you think about web analytics? Tools! Of course tools. What to do, where to start, what's cool. I was reflecting on that recently and thought it was incredible that in all my years of writing this blog I have never written a blog post, not one single one (!!), recommending tools for the comp
End of Dumb Tables in Web Analytics Tools! Hello: Weighted Sort Arthur C. Clarke said: "Any sufficiently advanced technology is indistinguishable from magic." That quote comes to mind when I think of a new feature in Google Analytics that carries the unassuming name of Weighted Sort. It is an advanced implementation of technology (mathematical algorithms in this case) and when used it very much fe
Web Analytics Segmentation: Do Or Die, There Is No Try! My love for segmentation as the primary (only?) way of identify actionable insights is on display in pretty much every single blog post I write. I have said: All data in aggregate is "crap". Because it is. One of my earliest blog posts extolled the glorious virtues of segmentation: Excellent Analytics Tip#2: Segment Absolutely Everything. Man
Web Analytics 101: Definitions: Goals, Metrics, KPIs, Dimensions, Targets It is surprising how often these "simple" things come up. "What is the difference between a metric and a key performance indicator (KPI)?" "What is a dimension in analytics?" "What is segmentation?" "Are goals metrics?" And many more. There seems to be genuine confusion about the simplest, most foundational, parts of web met
Excellent Analytics Tip #17: Calculate Customer Lifetime Value Some Marketers / Analysts use Click-thru Rate (CTR) to measure success of their acquisition campaigns. Nothing much to write home about, but certainly better than executing faith based initiatives. A smaller percent of those Marketers / Web Analysts will move beyond clicks and measure Visits / Visitors and Bounce Rates to measure succe
The new year is such a wonderful time. Wonderful smells in the air. The world is full of hope. Unachievable things seem achievable and are being polished into shiny resolutions. World peace seems within grasp. As we spring to action full of passion I wanted to share with you all a short list of things that will expand your little world of online marketing & web analytics. We all have a tendency of
Social Media Analytics: Twitter: Quantitative & Qualitative Metrics Twitter is amongst new media channels that are challenging how we communicate, with whom we communicate and perhaps most fundamentally how we (Marketers) influence people. 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 thin
Six Tips For Improving High Bounce Rate / Low Conversion Web Pages In my travels around the world the most frequently asked question is: "What's your favorite web analytics report? " A close second is: "How can I improve my web pages with high bounce / low conversion rates?" Or "I have done all I can and I don't know how else to improve my webpage, ideas?" If you think about it for a moment it is
The term KPI is one that I hear far more than any other in this nascent field we call Web Analytics. Key Performance Indicators! This is a KPI and that is a KPI and "you don't have a KPI, oh my!" and "look at my KPI it is awesomer than yours!" and. . . . well you've been there. You can empathize. Simple talk in this blog post: Highlight a definition. Give you five KPI's that I like, ones that I th
Measuring Online Engagement: What Role Does Web Analytics Play? Engagement is a buzz word. It is a quest. It is altar at which many worship. Often though, atleast online, our hopes are dashed, efforts expended rarely have adequate ROI, the hype is followed with a bucket of cold water. It is not that measuring if "Visitors" / "Customers" itself is a ignoble goal. It is more that our execution effor
The data we deal with has such immense complexity built into it (across metrics, methodologies, sources), the business itself is so complex (no more just run ads on TV, wait for people to walk into our stores), any analyst has to strive to simplify complexity every day. Hence, one thing our community has in common is a love for data visualization. The above-mentioned complexity is also the reason
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