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Dynamics above all: the most powerful Mercedes-Benz E63 AMG from Posaidon

Dynamics above all: the most powerful Mercedes-Benz E63 AMG from Posaidon

Data has been and will always be critical to every product marketing campaign, the nature of today’s marketing space crowns data as the indisputable king.

I have more than 10 years of media, product and marketing experience. I have always used data before deciding what to do next. But until a couple of years back it was solely based on the analytics tools on the market. Then with the boom of data science, we have met with predictive marketing, enabling us not just with the past data but also future forecasts as well.

A Definitive Guide to Predictive Marketing

I have worked in traditional media as well but it is not news that digitalization has taken over a great deal of marketing, and now determines how we perceive brands and eventually make our decisions on new tools we use or purchases we make. Globally, 1.9 trillion people are expected to buy online. While in the United States, 79 percent have already made an online purchase up from only 22% back in 2002. What is exciting, however, is the level of sophistication that goes into the process of digital marketing to rein in better leads and increase chances of sales.

A classic case of predictive marketing at play is the e-commerce websites which recommend products and services to users based on their past behavior

I have worked in traditional media as well but it is not news that digitalization has taken over a great deal of marketing, and now determines how we perceive brands and eventually make our decisions on new tools we use or purchases we make. Globally, 1.9 trillion people are expected to buy online. While in the United States, 79 percent have already made an online purchase up from only 22% back in 2002. What is exciting, however, is the level of sophistication that goes into the process of digital marketing to rein in better leads and increase chances of sales.

What is Predictive Marketing?

Predictive marketing, as the name implies, is a marketing technique which determines the probability of success of different marketing strategies. Beyond the buzzword, this is a subset of MarTech which is premised on the fact that marketing and sales are driven by data. Therefore, in predictive marketing, we used data science (or data analytics) to predict which marketing actions are more likely to succeed and that which is more likely to fail. We can name the part of data analytics involved as predictive analytics.

The Benefits of Predictive Marketing

First, predictive technology gives the marketer a better understanding of customer behaviors. Slightly different from regular marketing data analysis, predictive marketing tools go ahead to proffer decisions without the data scientist having to interpret the data and make recommendations separately. In other words, predictive marketing models say exactly what marketing strategy will likely work and which wouldn’t, thereby making it easier for a decision to be made. Predictive marketing models can tell whether or not a customer will make a purchase, when and how they are likely to make the purchase as well as other business-specific predictions all based on data acquired around the customers.

Here is How We Improved E-Mail Marketing and Website Engagement With Predictive Marketing

First, predictive technology gives the marketer a better understanding of customer behaviors. Slightly different from regular marketing data analysis, predictive marketing tools go ahead to proffer decisions without the data scientist having to interpret the data and make recommendations separately. In other words, predictive marketing models say exactly what marketing strategy will likely work and which wouldn’t, thereby making it easier for a decision to be made. Predictive marketing models can tell whether or not a customer will make a purchase, when and how they are likely to make the purchase as well as other business-specific predictions all based on data acquired around the customers.

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