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Filtering out junk & messy data - Segmented by products in customers orders - Using specific formulas for how they wanted to calculate LTV - Ability to define groups of customers by grouping skus & products & product types together (custom segments!) to then use as dimensions in the reporting All set given Peels extensive library of Cohort Analysis & library of revenue formulas this was easily available as easy as someone ordering a latte with almond milk at a coffee shop
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Cigarettes held the highest input level followed by smokeless tobacco and then nicotine gum and the younger group of subject came out to have the highest rise in nicotine levels
As a pulmonary and critical care physician, I have seen the effects up close
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