O'Reilly on Data
JULY 28, 2020
Without clarity in metrics, it’s impossible to do meaningful experimentation. AI PMs must ensure that experimentation occurs during three phases of the product lifecycle: Phase 1: Concept During the concept phase, it’s important to determine if it’s even possible for an AI product “ intervention ” to move an upstream business metric.
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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CIO Business Intelligence
MAY 1, 2024
Pilots can offer value beyond just experimentation, of course. McKinsey reports that industrial design teams using LLM-powered summaries of user research and AI-generated images for ideation and experimentation sometimes see a reduction upward of 70% in product development cycle times.
The Unofficial Google Data Science Blog
JUNE 30, 2016
In an ideal world, experimentation through randomization of the treatment assignment allows the identification and consistent estimation of causal effects. Your company has recently launched a new pickup truck, along with the corresponding online advertisement campaign. This is often referred to as the positivity assumption.
Occam's Razor
JULY 24, 2018
See the nice circular reference? :). Ignore the metrics produced as an experimental exercise nine months ago. You can see the company’s marketing strategy spans television and other offline advertising, including retail. YOU matter if you have a business impact.
The Unofficial Google Data Science Blog
MAY 31, 2016
However, it is generally not possible to determine the incremental impact of advertising by merely observing such data across time. One approach that Google has long used to obtain causal estimates of the impact of advertising is geo experiments. Such regions are often referred to as Generalized Market Areas (GMAs) or simply geos.
Occam's Razor
AUGUST 12, 2013
MCA-O2S covers the challenge of attributing the offline impact (revenue/brand value/butts in seats/phone calls/etc) driven by online marketing and advertising. MCA-AMS covers the challenge of attributing accurate impact of our marketing and advertising efforts across multiple devices (desktop, laptop, mobile, TV).
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