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There is unlimited amount of data thrown off our digital existences. (Or But the problem is that single golden metrics hide valuable insights and, more often than not, drive bad behavior. Here's my proposal: If you are pushed to have a single golden metric, give it a partner. So, great metric.
In a world of infinite choice, the ability to pick critical few metrics to focus on is, well…, critical. I recently had an opportunity to recommend to a group of CEOs everything they should measure for everything they should do with digital. Focus on all three with everything you do with digitalanalytics.
Oh, and of course a critical element for any company's path to glory. Dashboards are every where, we will look at a lot of them in this post and they are all digital. digital performance. It also handy explanations of the metrics, with key context where necessary. It is a thing of beauty and a source of immense joy.
It is painfully heartbreaking to realize that a very small tiny number of people who have access to web analytics tools actually use them. In-Page Analytics – Re-imagine Traveling Through Data. #5. Matched Query Type, Keyword Position, Day Parts: Sexier PPC Analytics. #7. I named my dashboard: VP, Digital. " Boom!
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. 7: 25% of all analytical effort is dedicated to data visualization/enhancing data's communicative power. #6: Consulting.
A vast majority of occasions where data is presented (reports, executive dashboards, conference presentations, or just plain here's a automated emailed thingy from Google Analytics ) end up being abject failures because most of the discussion is still about the data. Yes, cost per click is metric. An important point first.
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. Yehoshua Coren: Best ways to measure user behavior in a multi-touch, multi-device digital world. That means: All of these metrics are off. Let's do this!
Conversion rate is a very important metric, used properly. More importantly being a practitioner I feel metric definitions should incorporate on the ground reality and using Unique Visitors accommodates that reality. It is only fair to follow up a post titled " Stop obsessing about conversion rate " with this post.
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. Google Analytics Shortcuts: Save Your Complex Views. This hurts my feelings!
There are few things more complicated in analytics (all analytics, big data and huge data!) In Closing, Five Quick Tips/Reality Checks. Multi-channel attribution across digital channels. The simplest way to start is to look at your Assisted Conversions report in Google Analytics. Time Decay Attribution Model.
This blog is centered around creating incredible digital experiences powered by qualitative and quantitative data insights. Every post is about unleashing the power of digitalanalytics (the potent combination of data, systems, software and people). Let's calculate the ROI of digitalanalytics.
What metrics should I use? What digital marketing works? The DMMM and CLoS are strategic frameworks (you should embrace them right away!) , and in this post I want to share a really, really simple framework for structuring web analytics consulting contracts. The Web Analytics Consultant Quandary. Use BR & CV.
In fact a data driven life is sexiest digital life you can imagine. 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.
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 excellentanalytics narratives. " ~ DigitalAnalytics: "Am I thinking right? " ~ Web Metrics: "What is a KPI?
It is not quite about web analytics, not quite about data you can just get from WebTrends or Google Analytics, and not quite about just making yet another pretty chart. I wish we did not have this desire to pulpify a bunch of metrics to produce something recognizable. The Challenge with Compound Metrics: Social Media Edition.
This post covers an important evolution in Google Analytics' segmentation power. You are going to love analytics and analysis so much more by the time you are done with this post! One of the key things we are going to learn today is to align our metrics and dimensions optimally to ensure we report good, clean, sensible data.
My last post, perhaps provocatively, called for a reduction of data in executive dashboards (digital, online, offline). 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 digitalanalytics dashboards.
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: Web Analytics Career Advice: Play In The Real World! And, happily, it has almost all of the Google Analytics features implemented correctly.
Nose to the grind "How do I" questions: David Walizer: How do you sell the value of web analytics to a skeptical client in 30 seconds or less? By doing multichannel analytics! More detail on those techniques, and three more, are in this blog post: Multichannel Analytics: Tracking Offline Conversions. Let's go!
See step four in the process for creating your Digital Marketing and Measurement Model.]. In each case you'll learn how to use each source, the pros and cons of each, and by the end of this post you'll never have an excuse not to have rock solid (or, ok, just a tiny bit squishy) targets for your company's digital performance.
By design none of them from the world of digitalanalytics, though I’ll stay connected to that world from a how could you use this idea perspective. The sixteen examples neatly fall into nine strategies I hope you’ll cultivate in your analytics practice as you create data visualizations: 1: The Simplicity Obsession.
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