Remove 2006 Remove Experimentation Remove Metrics Remove Testing
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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). The first component is a gloriously scaled global creative pre-testing program. Matched market tests. The slow music.

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

Occam's Razor

The problem is that you are there just to look at the car, maybe take it for a test drive. Focus on the Why (use Surveys or Lab Usability or Experimentation & Testing for example). Is Real Conversion Rate metric a good one? You have not yet saved up enough to buy a new car. You really don’t want to be sold.

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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. Post Testing: Visits 30k. If you have Web Analytics 2.0