On what a customer has purchased, on their purchasing habits (times, days, seasons, devices), on what they have seen while browsing the website, on the type of channel they have used to contact the company, on the emails they have clicked on and on the posts they have read on Facebook, as well as on many other variables that we will consider relevant for the customer experience we want to offer them . Today, technology allows platforms to collect and normalize all kinds of information, including offline information, to allow algorithms to improve every day. Not all marketing automation platforms are equal, and the big difference lies in artificial intelligence. Some move exclusively guangdong cell phone number list on pre-established models and do not automate based on an algorithm but exclusively on the occurrence or non-occurrence of a rule. In a sense, they execute orders after the user has done or not done something (an example is email notifications after a click). Machines based on machine learning, on the other hand, are constantly learning and making decisions for people, aggregating information in a way that would be impossible for an operator.
L Artificial intelligence in marketing automation is therefore proactive And it uses data not only to react to past stimuli, but above all to predict what users will want. We conclude by letting you read this research from Smart Insight, which indicates that predictive marketing is one of the megatrends of 2017. Did you know?