Occam's Razor
FEBRUARY 7, 2022
Since you're reading a blog on advanced analytics, I'm going to assume that you have been exposed to the magical and amazing awesomeness of experimentation and testing. And yet, chances are you really don’t know anyone directly who uses experimentation as a part of their regular business practice. Wah wah wah waaah.
The Unofficial Google Data Science Blog
OCTOBER 7, 2015
accounting for effects "orthogonal" to the randomization used in experimentation. For example in ads, experiments using cookies (users) as experimental units are not suited to capture the impact of a treatment on advertisers or publishers nor their reaction to it.
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datapine
FEBRUARY 4, 2020
Often CMOs don’t have time to look into each detail of an advertising campaign but focus their resources into strategic goals of a company and this report shows us exactly what kind of metrics and insights are needed to be successful. 3) Online Advertising Performance. 2) Marketing Performance Report. click to enlarge**.
The Unofficial Google Data Science Blog
APRIL 16, 2019
by MICHAEL FORTE Large-scale live experimentation is a big part of online product development. In fact, this blog has published posts on this very topic. This means a small and growing product has to use experimentation differently and very carefully. This blog post is about experimentation in this regime.
Occam's Razor
MAY 27, 2015
Programmatic advertising is all the rage. Google's Adwords is perhaps the simplest example of programmatic advertising. I love the shift to intent-based targeting (I cannot stress how massively important to the future of advertising and marketing). Our advertising will rain down massive revenues! !" Does Yahoo!
Occam's Razor
DECEMBER 12, 2016
" I think the answer expected was my view related to the size of the company or their industries or those that might have Google Analytics or those with big advertising spends etc. My answer was: " Look for these two elements, if they are present then it is worth helping the company with free consulting and analysis.
Domino Data Lab
MAY 8, 2019
So much work in machine learning – either on the academic side which is focused on publishing papers or the industry side which is focused on ROI – tends to emphasize: How much predictive power (precision, recall) does the model have? If you invest enough time into modeling, you can often find relatively simple models for a given problem.
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