Post by account_disabled on Feb 17, 2024 23:43:07 GMT -5
As Google says, marketers need to “ be there, be helpful, be fast .” In the mobile age, consumers have become accustomed to instant gratification. If they are thinking about something or discussing something, in many cases they will want to know more, see more, or buy more; and they want it with just a few clicks of a button.
To make the most of micro-moments, marketers should: Identify moments when consumers want to buy Make sure they are there when the consumer needs them Create Mobile Phone Number relevant content around these moments Make it as easy as possible for consumers to find information and convert it. B2B today expect an immediate response to sales or marketing questions. However, for many companies, it is impossible, or at least impractical, to have an employee physically present to answer all of these questions.
Chatbots are an effective solution to keep up with this demand, as 40% of consumers don't care whether a chatbot or a real human helps them, as long as they get the help they need. Chatbots are programmed to respond to users and can respond differently to messages depending on the keywords contained in the query. Some even use machine learning to adapt their answers and find the right answer.
To make the most of micro-moments, marketers should: Identify moments when consumers want to buy Make sure they are there when the consumer needs them Create Mobile Phone Number relevant content around these moments Make it as easy as possible for consumers to find information and convert it. B2B today expect an immediate response to sales or marketing questions. However, for many companies, it is impossible, or at least impractical, to have an employee physically present to answer all of these questions.
Chatbots are an effective solution to keep up with this demand, as 40% of consumers don't care whether a chatbot or a real human helps them, as long as they get the help they need. Chatbots are programmed to respond to users and can respond differently to messages depending on the keywords contained in the query. Some even use machine learning to adapt their answers and find the right answer.