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Reports And Analysis In Live Chat

Learn and improve parts of your service by using reports and analytics available in LiveChat. These built-in features will help you trail the important chat. With Live Chat Agent, you can generate a plethora of reports utilizing the significant performance metrics and obtain insights into your customer service tasks.

Basic Activities

The basic form of the reporting module. This report gives you a summary of your customer service activities from the past seven days.

It is an incredible way to match up with the state of your customer service and gives you access to vital client benefit service metrics about your chats and tickets.

Daily Summary

Get day by day daily reports about your LiveChat activities straight into your email. A short daily summary will keep you updated about the number of served chats and will tell you their status if they went good or bad.

Chat Reports

Utilizing this report, you can gain more knowledge about the number of chats you had with your website visitors with Total no. of Chats.

Measure the customer satisfaction level through these reports. All ratings collected during chats are summed up and shown as a simple metric — thecustomer satisfaction level. The higher it is, the better your customer service.

Responses times statistics depends on the speed of your response. The report monitors two metrics: the speed of your moderate first response in a chat and the average speed of all your responses in a conversation.

See when your agents were available for chats under agent activity during a particular day. The report monitors agents statuses and shows a graphical representation of their activity.

Your pre-chat and post-chat surveys are saved in the chat surveys report. The report will show you how frequently a specific response was preferred by your customers.

Reports through API

LiveChat’s API is utilized to extract reports without even using the application. This will enable you to form your own custom analytics by sustaining LiveChat data directly to your framework.

Source:Live Chat Agent

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