If you're like most other entrepreneurs and business owners, there have probably been times when you've wanted for a crystal ball to see how your prospects will respond to your marketing and advertising campaigns. When there are no known crystal chunks, there's something which could assist: predictive analytics.
Anticipating analytics was once a clinic just open to Fortune 500 businesses equipped with enormous data mining and advertising budgets. But today entrepreneurs and tiny companies alike are implementing predictive analytics to be able to maximize their advertising budgets.
Predictive analytics is a loosely-defined collection of database marketing and statistical methods used to make models that may exploit patterns located in historical data. An organization's transactional information is scanned for inherent relationships and patterns which could subsequently be used to forecast customer behavior later on.
What all of this means for companies is that: you may use the transactional data you really have been collecting from the online shop or brick and mortar storefront and then unite it with externally-available information so as to predict future client or potential behaviors. Since the business owner or marketing manager, you become empowered to categorize customers according to their respective characteristics and behaviors.
There are basically two kinds of customer information: attributes and behaviors. Attributes relate to that your clients are, like age, income, race, and place are all attributes. Meanwhile, behaviors are activities that your clients' take connected to your goods, offerings, services, and promotions. As an instance, a client's email response speed, if they take business polls, how frequently they shop to your organization's product can all be cross-tabulated against if the client does or does not make a buy.