Advertising Experimentation Marketing Statistics 
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.
O'Reilly on Data
JULY 28, 2020
In this article, we turn our attention to the process itself: how do you bring a product to market? Without clarity in metrics, it’s impossible to do meaningful experimentation. Experimentation should show you how your customers use your site, and whether a recommendation engine would help the business. Identifying the problem.
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CIO Business Intelligence
MARCH 21, 2022
Social networking: Social networking data can inform targeted advertising, improve customer satisfaction, establish trends in location data, and enhance features and services. Quantitative analysis: Quantitative analysis improves your ability to run experimental analysis, scale your data strategy, and help you implement machine learning.
Occam's Razor
MARCH 23, 2021
Does advertising really have a long-term business impact ? 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). Matched market tests. sales) impact of my brand marketing?
O'Reilly on Data
MARCH 18, 2020
It seems as if the experimental AI projects of 2019 have borne fruit. Two functional areas—marketing/advertising/PR and operations/facilities/fleet management—see usage share of about 20%. data cleansing services that profile data and generate statistics, perform deduplication and fuzzy matching, etc.—or But what kind?
Occam's Razor
JANUARY 9, 2012
The real problem is that our management teams lack imagination when it comes to the web, and our marketing executives continue to do TV on Twitter, catalogs on display ads, irrelevant shouting on search, etc. The problem is Marketing and lack of imagination in using the web/digital channels. The problem, it turns out, is not data.
The Unofficial Google Data Science Blog
APRIL 16, 2019
by MICHAEL FORTE Large-scale live experimentation is a big part of online product development. This means a small and growing product has to use experimentation differently and very carefully. This blog post is about experimentation in this regime. But these are not usually amenable to A/B experimentation.
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