The Average Time to Close (ATC) metric measures the average duration from initial contact to final resolution for a closed deal or opportunity, helping track and improve sales team efficiency.
With Databox you can track all your metrics from various data sources in one place.
Used to show a simple Metric or to draw attention to one key number.
Databox is a business analytics software that allows you to track and visualize your most important metrics from any data source in one centralized platform.
To track Average Time to Close using Databox, follow these steps:
Drift dashboard template which gives you insights about new and closed conversations, reply times by team members and more.
Total Conversations is a metric that measures the number of chat or messaging interactions between customers and a brand or business on Drift's platform.
The Median Time to Close metric measures the average amount of time it takes for a sales team to close a deal and determine the time frame for effective sales activities.
Click % by Chat Playbook measures how many times a chatbot suggestion was clicked compared to the total number of suggestions shown. It indicates the effectiveness of chatbot suggestions in guiding website visitors towards a desired outcome/metric.
The Dismisses % by Chat Playbook metric measures the effectiveness of chat playbook messages in engaging website visitors by tracking the percentage of times they are dismissed without action.
The Sent by Email playbook metric tracks the number of chat invitations or links sent via email by the Drift playbook, helping to measure the effectiveness of email campaigns in driving chat engagement and conversions.
The Replies by Email Playbook metric measures the percentage of automated email replies sent by Drift that receive a response from the recipient, indicating engagement and potential interest.
The Clicks by Email Playbook metric measures the total number of clicks on links in marketing emails sent through the Drift platform.
Views by Signature Playbook metric tracks how many times a signature playbook has been viewed. It helps to evaluate the effectiveness of a playbook and make data-driven improvements.