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is yearning for some segmentation, or at least for some comparisons of current performance to past performance for context. Just imagine how useful it would be in a non-analytical environment like a museum. Go three levels, or five, inside the organization to the Senior Leadership, would they get anything out of this?
My love for segmentation as the primary (only?) One of my earliest blog posts extolled the glorious virtues of segmentation: Excellent Analytics Tip#2: Segment Absolutely Everything. Many paid webanalytics clickstream analytics tools, even today (!) It is not very difficult to segment your data.
The 80/20 rule applies to our use of webanalytics 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. Affinity & In-Market Segments: Understand Your People Better.
I am going to attempt to significantly simply your life by recommending the critical few metrics you should use to analyze performance of your digital marketing campaigns and website. Recommend metrics / KPIs you can use based on the size of your company. For Search it is in your Google Analytics or Omniture Site Catalyst reports.
99.9996253% of WebAnalytics reports produced are utterly useless. partly because they are out of the box standard reports that webanalytics vendors create for “average” people (and we both know that you are not average!), Here’s a blog post: 3 Awesome, Downloadable, Custom WebAnalytics Reports.
What is the first thing you want when you think about webanalytics? recommending tools for the complete webanalytics 2.0 to be awesome you are likely to use one from each category. Disclosure:] I am the co-Founder of Market Motive Inc and the Analytics Evangelist for Google. WebAnalytics 2.0.
The challenge I want to take on is to be specific in the recommendations make, and to share how we can be very nimble and agile. You’ll see three consistent patterns in the thinking expressed below. They are from my post The Biggest Mistake Web Analysts Make… And How To Avoid It! We bend to this reality. A quick best practice.
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 going to recommend. Update: Please see update #2 below, you can now easily measure what's recommended in this post.]. Use Google Analytics, Omniture, WebTrends, CoreIBMInsights, etc. Conversation Rate.
Remember, when someone says mobile analytics, first ask the clarifying question: Do you mean mobile application or mobile website ? Then approach each separately (even though there are tools like Google Analytics that will do both). In Google Analytics there are five parameters: Source, Medium, Campaign, Term and Content.
It is painfully heartbreaking to realize that a very small tiny number of people who have access to webanalytics tools actually use them. Here is a summary of the eight incredible recommendations in this post: #1. In-Page Analytics – Re-imagine Traveling Through Data. #5. I mean really use the tools.
Would you believe me when I say that your digital analytics data, from Google Analytics or WebTrends et. Would you believe me if I said that even leveraging cool features like custom reporting and smart advanced segments might be insufficient in some cases? We do have A LOT of data in our analytics tools. Two stories. #1:
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. challenge : Monitoring software (overt or covert) was built when the Web was static and page-based.
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. Seems straight forward right?
Half-way through this post, you'll seriously wonder why you've spent so much time obsessing with Adobe/Google Analytics/Chartbeat or other webanalytics tool. CIA also formed one of five foundational elements in my best-selling book WebAnalytics 2.0. How is competitive intelligence data collected?
When it comes to your Digital Marketing and Digital Analytics practice, I've advocated slow and steady evolution. My recommendation… Partake in honest self-reflection, let that help you identify where on this ladder today, then, rather than shooting for the moon, figure out how to get to the next step. Let's go.
You can download them into your Google Analytics 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. Bonus: There's lots of goodness that is hidden in Google Analytics. Business Outcomes Analysis.
WebAnalytics 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. In some scenarios you also bump into it when you do advanced segmentation and filtering.
That's not including others I actively seek out around the web. Remember I am the creator of the 10/90 rule of investment in webanalytics. When I had created the rule Google Analytics did not even exist! Let me share my prescription for avoiding irrelevancy: Try new things. Simple right? And that's on purpose.
There are three elements to our "big data" efforts, or unhyped normal data efforts: Data Collection, Data Reporting, and Data Analysis. Hence all the insights-free data visualizations floating around the web that are totally value-deficient, even as they are pretty. Then we have it for the company and its category.
Someone recommends your business / solution to someone else and boom they show up at the site. If you were really smart you would use campaign tagged vanity url so you can segment them!]. Segment them in your data, the delightful numbers you see in your KPI's will show you why. People familiar with your brand.
End of a minor webanalytics lesson on going beyond obvious metrics and never, ever, never forgetting context. Log into the Advanced Segmentation tool in your webanalytics tool. Create a segment for Organic Search traffic. s web master resources.] Back to our story. Do your happy dance!
FBe's recommendation was (paraphrasing a 35 min talk): Don't invent new metrics, use online versions of Reach and GRPs to measure success. This blog post is about the above recommendations, and their merit. My recommendation above is the simplest way to attempt this. Let's go! That is ok.
The single biggest mistake web analysts make is working without purpose. My normal recommendation to address this supremely corrosive issue is to encourage each company to go through the process of creating a Digital Marketing and Measurement Model. No touching Google Analytics. No going to webanalytics conferences.
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.
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. This is all the way from Aug 2009: WebAnalytics Career Advice: Play In The Real World! Or compressing my experience into custom reports and advanced segments I've shared.
I am insanely excited that we can track ad blocking behavior in Google Analytics, so easily. Setting Google Analytics front end elements (custom dimensions, advanced segments). Let now go and configure the Google Analytics front-end. Setting Google Analytics front end elements (custom dimensions, segments).
At the bottom of the page they explain in three short sentences what they do. So no social features/recommendations available. All other recommendations, logos, etc. But when it comes to the web, they all seem to leave their creativity, passion, and brilliant minds at home. The web can sell product. No Audio Ads.)
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 ….
We send out our multi-tab spreadsheets, our best Google Analytics custom reports , our great dashboards full of data , and more to the tactical layer of data clients. They can only present three strong ideas. If their presentation slide means they can tell three stories in 15 slides, so be it. In fact 86.4% Let me share two.
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. Three important things to get going. Let's back up. Let me start with a story.
In the last couple months I've spent a lot of time with senior level marketers on three different continents. You end up paying substantial amounts of money to your analytics/big data vendor – for questionable value. In three months. Takes three months. Small data. All you need to do is fix the bounce rate.
Ok, so perhaps as the author of two bestselling books on analytics I love it a little bit more! In each case the creator did something interesting that made me wonder how I can use their strategy in my daily efforts in service of digital marketing and analytics. Short story #5: Segmented Stacked Square Charts.
If you've read my first book WebAnalytics: An Hour A Day, you know that I've advocated this strategy since 2008! This recommendation also valuable for companies that have very unique business models, or face other unusual circumstances (geographic, size, amount of innovation, and many others). See Page 269. :).
I want you to sign up for something very, very special I'm doing: Writing short stories from the intersection of marketing and analytics. My newsletter is called The Marketing < > Analytics Intersect. In a moment, I'll share three newsletters to give you a feel for what I'm writing about.
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