Salespeople should stop looking at feedback as complaints. They tend to attach a negative aspect to it, so they are rarely happy to get it. But in fact, feedback is essential to their success, even when it truly is negative. Why? – Because it teaches you where you need to make improvements in your offer.
According to survey findings by ReviewTrackers, 53.3% of customers expect businesses to respond to their reviews within a week. Chatmeter found that failing to reply to reviews will increase the customer churn by up to 15%. We’re talking about online reviews here, but we can safely extend those expectations to the feedback that customers give for any products they purchase.
As a salesperson, you should never ignore feedback data. In fact, you should ask for it. But how should you collect customer feedback, and how should you analyze it? You should have a methodical approach to this. Let’s start by listing the main questions that you should ask when collecting and analyzing feedback data.
https://salespop.net/sales-professionals/7-questions-to-consider-when-analyzing-customer-feedback/
If you would like to see your business grow and prosper, customer satisfaction is not only important but also necessary. Understanding how customers view your products, services and company is invaluable. It is only after you understand their point of view that you know your strengths and weaknesses.
http://customerthink.com/6-most-easily-accessible-ways-to-collect-customer-feedback/
In an age where there is abundance of data, brands need to apply different approaches to customer feedback analysis in order to understand the next steps necessary to foster their growth.
There are a variety of metrics that can be evaluated from customer feedback such as brand reputation, product perception and customer satisfaction. Each metric can help brands understand how to meet customer expectations by making the right improvements to their product and learn crucial insights that can increase their market shares.
https://www.wonderflow.co/blog/types-of-customer-feedback-analysis/