Predictive Intelligence

"Predictive Intelligence is the process of first collecting data on consumers and potential consumers' behaviors/actions from a variety of sources and potentially combining with profile data about their characteristics.

The simplest meaning of predictive content marketing is the supply of data-driven content to target customers based on their past interactions, preferences, and engagement with digital content.

The relevant actions that are carried out based on this distilled and interpreted data are that of predicting and then executing the optimum marketing message (e.g. image based vs text heavy / formal vs informal) to specific customer’s/potential customers across the optimum marketing channel(s) (e.g. social media vs email), at the optimum time(s) (e.g. morning vs afternoon) in order achieve your company’s marketing goals. These goals being usually higher engagement and/or sales. In summary, you are communicating in a way that is simultaneously most relevant and preferred by the customers/potential customers and most likely to result in you achieving your marketing goal(s).

Predictive Intelligence aims to deliver content based on customer needs essentially tailoring the experience for the person receiving the information.  Predictive Intelligence, empowered by data, thus begins to usher in true personalised one to one marketing communication that is aligned with a company’s marketing goals.

there are quite a few smaller Predictive Intelligence companies on the market in addition to the big names like IBM or Salesforce. Many of these companies are offering intuitive, easy to understand, well designed and well-priced cloud based Predictive Intelligence software packages. 

Predictive Intelligence Benefits higher engagement, higher click through rates, higher conversion rates and emotional impact. “emotion is the most predictive driver of customer behaviour”, they bring together big data and social science to increase profitability.

Predictive Intelligence provides four frameworks that you can use to create machine-learning solutions in your instance.

Knowledge Base

How it Works

AI is a collection of technologies that excel at extracting insights and patterns from large sets of data, then making predictions based on that information. That includes your analytics data from places like Google Analytics, automation platforms, content management systems, CRMs, and more.

AI is a collection of technologies that excel at extracting insights and patterns from large sets of data, then making predictions based on that information. That includes your analytics data from places like Google Analytics, automation platforms, content management systems, CRMs, and more.

Artificial Intelligence is a technique that enables machines to mimic human behavior. Whereas, Machine Learning is a subset of Artificial Intelligence. It is the science of getting computers to act by feeding them data and letting them learn a few tricks on their own, without being explicitly programmed to do so.