B2B Data Collection Experimentation Metrics 
O'Reilly on Data
MAY 14, 2020
AI PMs should enter feature development and experimentation phases only after deciding what problem they want to solve as precisely as possible, and placing the problem into one of these categories. Experimentation: It’s just not possible to create a product by building, evaluating, and deploying a single model.
Occam's Razor
SEPTEMBER 15, 2014
They will need two different implementations, it is quite likely that you will end up with two sets of metrics (more people focused for mobile apps, more visit focused for sites). In this post we will look mobile sites first, both data collection and analysis, and then mobile applications. Media-Mix Modeling/Experimentation.
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Occam's Razor
DECEMBER 12, 2016
You got me, I am ignoring all the data layer and custom stuff! But, at the end of the day presence of a Tag Manager communicates to me that the company is serious about data collection and data quality. What one critical metric will help you clearly measure performance for each strategy above? All that is great.
Occam's Razor
MARCH 23, 2010
Having two tools guarantees you are going to be data collection, data processing and data reconciliation organization. Because every tool uses its own sweet metrics definitions, cookie rules, session start and end rules and so much more. Likely not. Omniture cannot save you. Only you can save yourself.
datapine
JANUARY 31, 2022
The companies that are most successful at marketing in both B2C and B2B are using data and online BI tools to craft hyper-specific campaigns that reach out to targeted prospects with a curated message. Ultimately, business intelligence and analytics are about much more than the technology used to gather and analyze data.
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