Remove 2010 Remove Metrics Remove Reporting Remove Testing
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Magnificent Mobile Website And App Analytics: Reports, Metrics, How-to!

Occam's Razor

In blue is how much time we spent in 2010 and in blue the time spent in 2014. was the dramatic shift between 2010 to 2014 to mobile content consumption. They will need two different implementations, it is quite likely that you will end up with two sets of metrics (more people focused for mobile apps, more visit focused for sites).

Metrics 141
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Five Sweet Web Analytics Resolutions To Kick It Up A Notch

Occam's Razor

Before all the excitement of the new year wears out, here are five simple things I would love for you to try so that your company will have a glorious truly data driven 2010! #1: The days of tools and reports simply puking data out are rapidly reducing. Here are some tools that are pretty cool and unique: Five Second Test.

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Web Analytics 101: Definitions: Goals, Metrics, KPIs, Dimensions, Targets

Occam's Razor

"What is the difference between a metric and a key performance indicator (KPI)?" " "Are goals metrics?" There seems to be genuine confusion about the simplest, most foundational, parts of web metrics / analytics. Metric: A metric is a number. But not normal metrics. Dimensions.

Metrics 138
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The Definitive Guide To (8) Competitive Intelligence Data Sources!

Occam's Razor

In May 2010 (!). For example, with Alexa , you can report on traffic statistics (such as rank and page views), upstream (where your traffic comes from) and downstream (where people go after visiting your site) statistics, and key-words driving traffic to a site. 9 points higher, now you deserve a bonus! 3: ISP (Network) Data.

Metrics 123
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10 Fundamental Web Analytics Truths: Embrace 'Em & Win Big

Occam's Razor

Because every tool uses its own sweet metrics definitions, cookie rules, session start and end rules and so much more. When it comes to proving which campaigns are better and which numbers to report to the management what will you do? Usually at least a test. Usually for free. Usually with a modest effort. Fail faster. [

Analytics 118
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The Biggest Mistake Web Analysts Make… And How To Avoid It!

Occam's Razor

I'm not an expert in the credit score reporting business. My favorite report is the Credit Report Card. Now you have a fantastic understanding of the business objective (make money via credit reporting) and the Goals (a combination of Macro + Micro Conversions). I don't know anyone at Credit Karma.

IT 138
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Unintentional data

The Unofficial Google Data Science Blog

With more features come more potential post hoc hypotheses about what is driving metrics of interest, and more opportunity for exploratory analysis. Yet when we use these tools to explore data and look for anomalies or interesting features, we are implicitly formulating and testing hypotheses after we have observed the outcomes.