Do you already know the 4 new Ps of Marketing?
Posted: Thu Jan 23, 2025 8:35 am
In the history of commerce, products were sold on store shelves with a price tag on top. Consumers bought in physical locations, where the location itself defined the relationship with the customer. Today, the Internet has forced companies to rethink their business models . The concept of “place” has evolved into a constant presence , which reaches multiple points and allows consumers to make their purchases from wherever they want, whenever they want and however they want. In other words, Place has become Presence: you need to be everywhere!
ps-do-marketing-1Today, consumers can buy toilet paper using voice commands via a virtual assistant, try on clothes using a device that combines virtual reality with a real environment, pre-purchase food so it is ready for collection as soon as they arrive at the establishment, etc. Even physical stores are undergoing changes, such as when customers are passing in front of a store display and can receive alerts, personalized discounts and interact through smartphones.
Retailers must rethink their possibilities, building relationships belize whatsapp data that span physical and digital environments. In the digital environment, speed, convenience and accessibility are of great importance!
Personal/Customization
In the past, consumer products and goods were mass-produced. The old Ps worked very well, they were designed with this in mind and worked very well considering this. However, today's consumer is different, and the new consumer demands a high level of personalization! In the past, everything was based on mass production: mass production, mass marketing and mass communication. These concepts simply no longer make as much sense with the Internet.
While the internet is an ocean of information, personalization connects intentions with interactions, creating a bridge. Search itself (the act of performing a search on the web) has become increasingly personalized, even moving towards absolute personalization. There is already geographic segmentation , by gender, by age, offers based on the subjects that the person shows interest in, etc. Search uses machine learning to quickly process huge amounts of data and deliver increasingly contextualized and relevant results. It is based especially on search habits, location and information provided by the user, evolving towards artificial intelligence. The goal today is to deliver a highly relevant result to that specific customer, and not just the same result to thousands of people.
ps-do-marketing-1Today, consumers can buy toilet paper using voice commands via a virtual assistant, try on clothes using a device that combines virtual reality with a real environment, pre-purchase food so it is ready for collection as soon as they arrive at the establishment, etc. Even physical stores are undergoing changes, such as when customers are passing in front of a store display and can receive alerts, personalized discounts and interact through smartphones.
Retailers must rethink their possibilities, building relationships belize whatsapp data that span physical and digital environments. In the digital environment, speed, convenience and accessibility are of great importance!
Personal/Customization
In the past, consumer products and goods were mass-produced. The old Ps worked very well, they were designed with this in mind and worked very well considering this. However, today's consumer is different, and the new consumer demands a high level of personalization! In the past, everything was based on mass production: mass production, mass marketing and mass communication. These concepts simply no longer make as much sense with the Internet.
While the internet is an ocean of information, personalization connects intentions with interactions, creating a bridge. Search itself (the act of performing a search on the web) has become increasingly personalized, even moving towards absolute personalization. There is already geographic segmentation , by gender, by age, offers based on the subjects that the person shows interest in, etc. Search uses machine learning to quickly process huge amounts of data and deliver increasingly contextualized and relevant results. It is based especially on search habits, location and information provided by the user, evolving towards artificial intelligence. The goal today is to deliver a highly relevant result to that specific customer, and not just the same result to thousands of people.