Customer Analytics Experimentation Marketing Modeling 
DataRobot
JANUARY 13, 2022
Even if a data scientist has worked with a particular type of customer data before, their domain expertise doesn’t always translate into actionable insights for the business. It’s easy to deploy, monitor, and manage models in production and react to changing conditions. AI in Customer Analytics: Tapping Your Data for Success.
Occam's Razor
FEBRUARY 7, 2011
There are many, many paid tools in the market (like HitWise and Compete and Netsuus). The best option is to hire a statistician with experience in data modeling and forecasting. You can and should do that now (along with customer lifetime value type valuable computations). If you have Web Analytics 2.0 and finally 3.
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