The Impact AI Has On Customer Engagement

Guest post by Luke Smith, writer and blogger.

• Pinpoint Recommendations: Good customer engagement is a direct result of insightful communications. Use AI to suggest similar products to help your business create value and lasting customer satisfaction.

• Data Management: Of course not all AI applications are direct-to-customer. An article by Hubspot explores how businesses can couple data tools that collect customer data with your Customer Relations Management model. This will help your team proactively engage with customers. For instance, if someone who regularly uses your app hasn’t logged in in over two weeks, AI software consolidates and gives your team this information. With these insights, your team can reach out to those particular customers for feedback or to help. 

• Email Distribution: Businesses are now using AI to identify and tag customer emails based on the tone, words, and subject line.  AI can then efficiently categorize these emails into time-sensitive, high priority, complex, and other predetermined categories and then assign them to customer service agents who are best suited for the job.

Download our free e-book to learn everything you need to know about chatbots for your business.

Conclusion

AI can have a positive impact on customer engagement. Remember: the key is to make AI work for you so that your business can leverage it for efficient and value-driven customer engagement.

Author bio:

Luke Smith is a writer and researcher turned blogger. Since finishing college he is trying his hand at being a freelance writer. He enjoys writing on a variety of topics but technology and digital marketing topics are his favorite. When he isn’t writing you can find him traveling, hiking, or gaming.

Related posts you could also be interested in: