Drift
Average Time to Close 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:
Goals
Scorecards
Metric Digest
Metric Builder
Data Calculations
Performance ScreenDrift dashboard template which gives you insights about new and closed conversations, reply times by team members and more.
Drift
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.
Drift
The Clicks by Email Playbook metric measures the total number of clicks on links in marketing emails sent through the Drift platform.
Drift
The Conversations by Signature Playbook metric measures the number of live chat conversations initiated by a specific Signature Playbook within a given time frame.
Drift
Open % by Signature Playbook is a metric that measures the number of times signature playbooks are opened by visitors on a website, indicating interest and engagement levels.
Drift
CQL (Concept Drift Quantification) is a metric that measures the amount of change in the underlying concept of data over time, enabling drift detection in machine learning models.
Drift
The Bounces by Email Playbook metric tracks the number or percentage of bounced emails sent through a specific playbook or automated sequence. This can help identify issues with email deliverability or the effectiveness of the playbook's messaging and targeting.
Drift
Click % by Signature Playbook measures the percentage of clicks on a particular signature playbook in comparison to the total number of plays it received. It helps to analyze the effectiveness of the signature playbook in driving clicks and optimizing it for better results.
Drift
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.
