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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

If the relationship of $X$ to $Y$ can be approximated as quadratic (or any polynomial), the objective and constraints as linear in $Y$, then there is a way to express the optimization as a quadratically constrained quadratic program (QCQP). It is also a sound strategy when experimenting with several parameters at the same time.

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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. It should be noted that inverse probability weighting is not generally optimal (i.e., 2007): Propose a finite collection $mathcal L={hat e_k:k=1,ldots,K}$ of estimation algorithms.

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Measuring Incrementality: Controlled Experiments to the Rescue!

Occam's Razor

We have to do Search Engine Optimization. The company truly has a portfolio strategy when it comes to marketing. It is possible to compute incrementality of adding or removing marketing strategies. Having read this post what might be the biggest downside to experimentation? We have to do Email Marketing.

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Knowledge

Occam's Razor

Barriers To An Effective Web Measurement Strategy [+ Solutions!]. The Awesome Power of Visualization 2 -> Death and Taxes 2007. Build A Great Web Experimentation & Testing Program. Experimentation and Testing: A Primer. Search Engine Optimization (SEO) Metrics & Analytics. Who Owns Web Analytics?

KPI 124
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Changing assignment weights with time-based confounders

The Unofficial Google Data Science Blog

by ALEXANDER WAKIM Ramp-up and multi-armed bandits (MAB) are common strategies in online controlled experiments (OCE). These strategies involve changing assignment weights during an experiment. The first is a strategy called ramp-up and is advised by many experts in the field [1].

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Web Analytics: Frequently Asked Questions And Direct Answers

Occam's Razor

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. please refer to the controlled experimentation section, page 205, in the book for more. If you have Web Analytics 2.0 or non-U.S.),