Remove 2006 Remove Experimentation Remove Metrics Remove Optimization
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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well.

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Analytics On The Bleeding Edge: Transforming Data's Influence

Occam's Razor

This is very hard to do, we now have a proven seven-step experimentation process, with one of the coolest algorithms to pick matched-markets (normally the kiss of death of any large-scale geo experiment). From 2006: Is Real-Time Analytics Really Relevant? ). The benchmark for the beautiful metric AVOC is 15.3%.

Analytics 131
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Excellent Analytics Tip #8: Measure the Real Conversion Rate & "Opportunity Pie"

Occam's Razor

And no that is not Visits or Total Visitors in the denominator, for my perspective on why that is sub-optimal click here and read the part about Why use Unique Visitors.]. Focus on the Why (use Surveys or Lab Usability or Experimentation & Testing for example). Is Real Conversion Rate metric a good one? What do you think?

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Web Analytics: Frequently Asked Questions And Direct Answers

Occam's Razor

But each keyword gets "credit" for other metrics. I have personally had a lot of success using Controlled Experimentation techniques, such as, say, Media Mix Modeling, to understand both current available demand and also segment conversion effectiveness. Alex Cohen: How to optimize with sparse data! or non-U.S.),