Remove 2015 Remove Experimentation Remove Marketing Remove Measurement
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The 2015 Digital Marketing Rule Book. Change or Perish.

Occam's Razor

Most companies are astonishingly blasé about data and possibilities of measurement. The problem is Marketing and lack of imagination in using the web/digital channels. If you are a digital marketer then this absolutely is your problem. 7 Rules for Digital Marketing Revolutionaries! The problem, it turns out, is not data.

Marketing 140
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Digital Analytics + Marketing Career Advice: Your Now, Next, Long Plan

Occam's Razor

The tiny downside of this is that our parents likely never had to invest as much in constant education, experimentation and self-driven investment in core skills. Like this blog, it will be particularly relevant for those who are in digital analytics and digital marketing. None focusses on digital marketing or analytics.

Marketing 136
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Magnificent Mobile Website And App Analytics: Reports, Metrics, How-to!

Occam's Razor

If you look at the mobile marketing strategies, you will see they don't reflect this shift to mobile. But why blame others, in this post let's focus on one important reason whose responsibility can be squarely put on your shoulders and mine: Measurement. Create a distinct mobile website and mobile app measurement strategies.

Metrics 141
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Estimating causal effects using geo experiments

The Unofficial Google Data Science Blog

It is important that we can measure the effect of these offline conversions as well. Panel studies make it possible to measure user behavior along with the exposure to ads and other online elements. Let's take a look at larger groups of individuals whose aggregate behavior we can measure. days or weeks).

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Themes and Conferences per Pacoid, Episode 6

Domino Data Lab

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. The ability to measure results (risk-reducing evidence). Ensure a culture that supports a steady process of learning and experimentation.

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The trinity of errors in applying confidence intervals: An exploration using Statsmodels

O'Reilly on Data

The probability of an event should be measured empirically by repeating similar experiments ad nauseam —either in reality or hypothetically. As the number of experimental trials N approaches infinity, the probability of E equals M/N. As the number of experimental trials N approaches infinity, the probability of E equals M/N.

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To Balance or Not to Balance?

The Unofficial Google Data Science Blog

In an ideal world, experimentation through randomization of the treatment assignment allows the identification and consistent estimation of causal effects. See Hainmueller (2012), and the work of Zhao & Percival (2015) for more details on how this optimization problem is solved, and for further discussion. R package version 2.0-15.