Predictive analytics can also be used to determine pricing thresholds for specific segments of customers, affecting a sales team's ability to cross-sell or upsell. Although there is no one perfect ...

Data analysis forms the backbone of modern marketing ecosystems. Every marketing campaign that you run can be analyzed vis-a-vis user behavior, messaging, demographics and so on. While the jury is ...

1. What is predictive analytics? Predictive analytics is a method of using data to make predictions about future events or behavior. It can be used in a number of different fields, including marketing ...

Predictive analytics offers brands a powerful tool to boost customer retention and improve the customer experience. By leveraging data and predictive modeling, brands can gain granular insights into ...

Predictive analysis can help organisations predict opportunities that may lie ahead, Stephen Pritchard explains. Organisations are always looking for more sophisticated ways to predict the outcomes of ...

The term “predictive analytics” is becoming increasingly familiar within the trucking industry as fleets look to make better use of the data collected by their back-office and onboard systems. Years ...

Have you ever been prospecting and wished you could read minds to know exactly who’s ready to sell? While telepathy isn’t an option, predictive analytics will get you pretty close. Predictive ...

Predictive analysis has a long and profitable history with direct mail. Millions of dollars have been saved by focusing on those customers most likely to buy—and not mailing to those who are unlikely ...

A trucking company’s success and reputation depend directly on its drivers’ safety performance, but it’s not so easy to determine which drivers are most likely to be involved in a crash or incur a ...

The rapid integration of AI-driven planning, monitoring, and safety technologies across residential, commercial, and infrastructure projects is propelling the AI in Construction Market toward ...

For a company to determine who its ideal customer is, how much he would spend, how to turn him from a lukewarm lead into a hot one, and what would keep him coming back might sound like it would ...