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.
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 Total Conversations using Databox, follow these steps:
Drift dashboard template which gives you insights about new and closed conversations, reply times by team members and more.
New Conversations is a metric that tracks the number of new chats or conversations initiated by website visitors or customers within a certain timeframe.
The Dismisses by Chat Playbook metric measures the number of times chat playbooks have been dismissed or closed by visitors during a conversation on the website or app. It helps evaluate the effectiveness of chat playbooks and identify areas for improvement.
Emails Captured by Chat Playbook is a metric that tracks the total number of unique email addresses collected through automated chat conversations within a specified playbook.
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 Clicks by Email Playbook metric measures the total number of clicks on links in marketing emails sent through the Drift platform.
The Unsubscriptions by Email Playbook metric measures the number of recipients who unsubscribe from your email marketing communications following the implementation of an email playbook.
The Clicks by Signature Playbook metric measures the number of clicks on CTA's in marketing emails that were sent using a specific email signature template.
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.