Remove 2011 Remove Analytics Remove Experimentation Remove Statistics
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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

This thought was in my mind as I was reading Lean Analytics a new book by my friend Alistair Croll and his collaborator Benjamin Yoskovitz. In this post, we’ll look at each of the four steps in the Lean Analytics Cycle in more detail. Let’s look at some case studies that will really help to drive the Lean Analytics Cycle home.

Metrics 156
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Unintentional data

The Unofficial Google Data Science Blog

This post describes the analytical issues which arise in such a setting, and what the data scientist can do about them. 1]" Statistics, as a discipline, was largely developed in a small data world. 1]" Statistics, as a discipline, was largely developed in a small data world.

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Smarter Survey Results and Impact: Abandon the Asker-Puker Model!

Occam's Razor

The post is also sourced from a recent edition of my newsletter, The Marketing – Analytics Intersect. I've added new insights, recommendations, and two bonus lessons on how to do surveys better and a direct challenge to your company's current analytics strategy. Hypothesis development and design of experimentation.

Modeling 127
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Six Nudges: Creating A Sense Of Urgency For Higher Conversion Rates!

Occam's Razor

I mean developing and inserting a subtle collection of gentle nudges that can help increase the conversion rate by a statistically significant amount. Bonus: The best computation of conversion rate is orders divided by users (the default in your analytics tool is sessions). I don’t mean: BUY IT NOW OR ELSE! Sizing the Opportunity.

Strategy 124