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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.
Having two tools guarantees you are going to be datacollection, data processing and data reconciliation organization. If you don't have a robust experimentation program in your company you are going to die. Oh and when I say Experimentation I don't mean testing button sizes (BOO!). Likely not.
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 datacollection and data quality. They only want to throw up a one page lead-gen form if they are B2B. All that is great.
In this post we will look mobile sites first, both datacollection and analysis, and then mobile applications. Media-Mix Modeling/Experimentation. It does not matter if you are a B2B or B2C or A2K, you will always see this. Media-Mix Modeling/Experimentation. Tag your mobile website.
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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