With the arrival of the web, the user population has widely gone up. There are 7.7 billion people within the world, and nearly 45% of the population is online. One-third of this online population is on social media. And it’s surprising to understand that there are quite 800 social media platforms. an excellent number of social media sites are far more popular than others among specific population groups.
Thus, for a web marketer, it’s a really challenging task to watch their brand mention one of these existing channels. Keeping a track of all mentions and responding or tracking negative mentions manually may be a very difficult, time-consuming, and tedious task. By the time a marketer would take action, the negative brand mention might go viral which usually does.
Adopting AI for Smart ORM
Thankfully, we are within the world of AI (AI) and Machine Learning (ML), where machines are created with self-learning, analyzing, deciphering, and self-responding capabilities.
It is the time when a little or large business should adopt automated data visualization techniques to create sophisticated data stores and advanced algorithms to research various online content.
Let’s discuss how ORM strategies might be integrated with enhanced AI features.
Faster Online Customer Service and Existing Customer Retention
It’s always exhausting to get on a call with a customer support team for a general query or to report a problem.
But as a corporation, you’ll provide a far better experience to your customers through AI presented to the web user within the sort of Chatbots. These bots are designed to enlist all expected queries which when selected, display answers or an answer the customer is searching for. Impact – a faster resolution to customer’s pain point and an impact of being knowledgeable customer service organization that not only cares about customer’s issues but also cares about their TIME.
Identification of Channels to trace Brand Mentions
As we mentioned earlier, there are many platforms which are growing with focused groups regularly discussing their personal experiences and also influencing other community members with their opinion and choices. Such groups might be a boon or curse to a brand’s image on the members who might or won’t chose your brand further.
It is essential that such platforms are regularly monitored via AI. AI helps a business to spot customers who are either complaining about products or services offered to them or could be appreciating or showing satisfaction for an equivalent, or might be posting fake news with an intention to harm the brand’s image. it’s necessary that negative comments are addressed with a resolution or acted quickly in order that such comments don’t impact a brand’s online reputation. And customers posting positive comments should be contacted to supply testimonials.
AI triggers the comment or a post to the customer service team to reply with a customized response on all the channels for every of their brand mentions.
Understanding Customer Needs and Personalizing Offers
As per data, 74% of consumers feel frustrated when the content they receive isn’t personalized and therefore the same is taken into account as Spam. also, Internet Retailer found that 80% of consumers take positive action once they receive recommend products that supported previous purchases, thus increasing ROI for the retailers.
AI plays a crucial role in identifying the stage of a customer within the buying process. Email is shipped accordingly with personalized content to different customers. AI analyzes customer behavior and tracks their interests to know what the customer is checking out and if the customer is prepared yet or not. Then it customizes the content with the message personalized as per the customer behavior. Customers who receive personalized service delivery are often likely to share regeneration online.








