Social Chat Bot and their Future in the Social Media Industry

When social media giant Facebook announced that they would be introducing a new software called chatbots in their Messenger, after hearing this, the entire digital marketing world is on their toes and went nuts. Suddenly, everyone was talking about artificial intelligence and bots.

How they are going to use AI and chatbots for pre-sales service, customer support, social media, and anything else people could think of. Within days of their announcement, Facebook AIs reached the peak of inflated expectations based on Gartner’s Hype Cycle model. To know more about Gartner’s Cycle mode, you can visit,

Trough of Disillusionment

By the time 2017 ended, social media AIs is starting to lose its momentum from the agenda, and the hype was gone. A lot of social media marketers had a great new toy to play with, but no one seems to know how to use it or take advantage of it.

It is not a surprise for most people, since even people in Facebook declared the technology a little overhyped. In the meantime, other companies are starting to develop similar software with the same functionalities, allowing a lot of business to create native artificial intelligence and chatbots for their website or embed them in their applications.

But most marketers remained a little conflicted. They know that consumers always need help to finish their transactions, but the biggest question is, are the customers thrilled talking with artificial intelligence? Are the social media AI like what Facebook is using, a complete opposite of the personalized experience most clients want to use? And for most people, this is where AI and social media bots ended.

Climbing the “Slope or Enlightenment”

The reality is that a lot of customers regularly to get in touch with your business, a survey suggests that at least 80% of shoppers on the Internet need some assistance to complete a transaction. But for small companies selling or dealing in the digital marketplace, hiring a lot of people to cope with the demand is quite expensive.

For some, it means dealing with a lot of emails and putting up promises of replying to the consumers “within two working days.” Consumers used social media platforms as a way to satisfy their cravings. However, 32% of these consumers are expecting a quality response in 30 minutes or less.

Using email is also at odds with the consumers. Most of them prefer messaging applications than using phone or email. It means that there is a real use for artificial intelligence like chatbots. Although social media bots are disappearing from the consciousness of the public, some companies have been working hard behind the scene.

At the F8 Conference held in 2017, Facebook announced that at least 100,000 Facebook AIs are active on their Messenger platform. This artificial intelligence is very popular with the customers too, at least two billion messages pass between brands and consumers each month using their automated system.

Predictably, customer service was one of the most popular uses of social media artificial intelligence. The ability of bots to answer high-level customer questions without any human intervention is pretty amazing, giving consumers that they need and what they want as well as helping lower the costs. At least 61% of all AI interactions are related to answering customer queries. Social media chatbots are starting to pick up momentum, and they finally reach acceptance from the mainstream users.

Want to know more about the impact of AI in the future of social media? Click here for more information

Conquering productivity plateau

Customer enthusiasm and the success of early adopters of technology means that more businesses will spend a lot of money and join the automated services revolution. The longer companies resist the development, the harder for them to compete in the online marketplace and meet their client’s needs.

Providing artificial intelligence functionality will not assure success for the organization. However, companies will need to cautiously plan their AI strategy to make sure that it will meet what the customer needs, otherwise they could repel the very people they are trying to help and attract. The investment of effort and time will be repaid; however, research from Juniper predicted that chatbots could help businesses reduce their operational cost by at least $8 billion every year by 2022.

Here are some tips to make sure that your social media AI application will do what they are intended to do and match your consumer’s expectation.

Get ready for voice

A lot of current AI’s are built around the standard text input, but the increased reliance on voice-activated assistants like Siri, Google Now, or Cortana will provide new developments in the artificial intelligence industry. In the future, bots will use traditional APIs to process and accept natural language questions, allowing consumers to ask questions and receive innate responses.

If you look at what Amazon is doing with Alexa, their customer service AI, you have to consider how your organization could use similar technology to help clients with their needs. The new, conversational interface will allow humans to operate the software on their terms, given a best-case scenario, they can speak naturally to a productive and intelligent agent.

The artificial intelligence will do the job that humans asked them to do. AI or artificial intelligence is what powers the bot’s capabilities, and it will change the way we do our work. If you want to know more about AI-powered chatbots and their importance in digital marketing, you can always check out AI related websites like

Increased personalization

Consumer demand for more personalized user experience will continue to increase. In the next few years, we should expect to see more messaging platforms and AI-powered bots embedded into their website to deliver and provide enhanced interactivity and customization.

Just like providing a personalized user experience to the visitors, sites will soon update their system in real time as artificial intelligence learns the course of customer interaction. Think of the future as an advanced search mechanism that combines chatbot input with the customer’s historical data to deliver solutions that are fine-tuned according to their immediate needs.

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