Responding to Customer Reviews Automatically | Vicinus.ai
Responding to customer reviews is a necessary part of building your business’s trust online. Not only will you be able to potentially help some previous customers of yours resolve problems, or just reassure them of your appreciation of them. Additionally, potential customers are more likely to buy from your business if you have responded to previous reviews.
How many potential customers read previous customer reviews?
However, it can be difficult to keep up with all of the reviews you are receiving, especially if your business had multiple locations.This is where Vicinus comes in.With machine learning for reviews, the AI-powered hyperlocal tool utilises machine learning-led sentiment analysis and gathers location-specific consumer insights in order to assist with review auto-respond to build customer trust in business.This means that Vicinus can help you respond to reviews in bulk by analysing whether they are positive or negative with a pre-constructed post. For example, if a customer leaves a positive review, the response could be something along the lines of ‘Thank you for leaving a review! We appreciate your feedback!’. Whereas a negative review could be something like: ‘I’m very sorry that you’re dissatisfied with our product. Please contact us for more help.’
How important is responding to customer reviews for my business?
Online reviews are increasingly becoming a more and more important part of every business marketing strategy. Now on most platforms and directories, businesses can gather reviews from their customers. Furthermore, today customers are constantly reading and writing online reviews of the businesses they interact with. For more information as to why customer reviews are important for your business, please check out our blog post below: