Post by account_disabled on Feb 24, 2024 11:52:55 GMT 1
The past two years, as we know, have been complex following the pandemic and the resulting restrictions. The consequences have been extremely varied, but what we will focus on in this article are new marketing strategies to support sales . In the last period, the most encouraging data have come from the very strong increase in e-commerce , thanks above all to the application of new Digital Marketing methodologies . It is interesting to understand what further developments are underway and what the immediate future holds for us through the analysis of the main trends for 2022 . You might be interested in: "Evolution of online ADV 2022: data and trends" The digitalization of processes to support commercial development Sales and Marketing If we talk about digitalization processes, we cannot say that these are an absolute novelty in the 2022 panorama, given that these are paths that have already been in existence for at least 6 years. There are, however, developments that are making a difference over the last two years : we are talking about combined actions that present, as common elements, artificial intelligence (AI), machine learning (ML) and chatbots .
AI, machine learning and chatbots Let's start with artificial intelligence , given that in many sectors (including eCommerce and Healthcare) a specific use of AI-based applications has begun thanks to the results and benefits that have been recorded during emergency periods. AI has proven to be fundamental in managing marketing campaigns focused on data-driven principles , together with automation processes. This resulted in thoughtful and optimal management of workflows , ensuring that the Marketing and Sales departments wasted much less time and resources on long and repetitive Afghanistan Mobile Number List activities. But be careful: the use of artificial intelligence, already widespread, is destined to increase in the short and medium term This is due to the fact that AI is constantly being implemented through machine learning (ML) systems. In other words, artificial intelligence follows forms of automatic learning, through the analysis of human behavior linked to the purchasing processes of goods and services. How? Machine learning algorithms are able to improve performance adaptively as the learning examples they are confronted with increase.
You might be interested in: "Artificial Intelligence applied to marketing: the advantages" Accompanying these processes we find the growing use of chatbots and voice assistants . The examples are the most varied, starting from the big players in the innovation market, namely Google Assistant, Amazon's Alexa and, in cascade, in an increasingly widespread way involving companies that focus on digital. Marketing departments are implementing these tools not only to increase conversion rates , but also for better management of after-sales actions . Chat-bots are now a reality within customer service, achieving increasingly efficient management of requests both on social media and within other digital platforms. The combined evolution of these three elements (AI, ML and chat-bot) is destined to provide customers with an increasingly personalized and detailed experience, capable of satisfying all customer expectations and creating the conditions for cross-selling and upselling .
AI, machine learning and chatbots Let's start with artificial intelligence , given that in many sectors (including eCommerce and Healthcare) a specific use of AI-based applications has begun thanks to the results and benefits that have been recorded during emergency periods. AI has proven to be fundamental in managing marketing campaigns focused on data-driven principles , together with automation processes. This resulted in thoughtful and optimal management of workflows , ensuring that the Marketing and Sales departments wasted much less time and resources on long and repetitive Afghanistan Mobile Number List activities. But be careful: the use of artificial intelligence, already widespread, is destined to increase in the short and medium term This is due to the fact that AI is constantly being implemented through machine learning (ML) systems. In other words, artificial intelligence follows forms of automatic learning, through the analysis of human behavior linked to the purchasing processes of goods and services. How? Machine learning algorithms are able to improve performance adaptively as the learning examples they are confronted with increase.
You might be interested in: "Artificial Intelligence applied to marketing: the advantages" Accompanying these processes we find the growing use of chatbots and voice assistants . The examples are the most varied, starting from the big players in the innovation market, namely Google Assistant, Amazon's Alexa and, in cascade, in an increasingly widespread way involving companies that focus on digital. Marketing departments are implementing these tools not only to increase conversion rates , but also for better management of after-sales actions . Chat-bots are now a reality within customer service, achieving increasingly efficient management of requests both on social media and within other digital platforms. The combined evolution of these three elements (AI, ML and chat-bot) is destined to provide customers with an increasingly personalized and detailed experience, capable of satisfying all customer expectations and creating the conditions for cross-selling and upselling .