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.
With Databox you can track all your metrics from various data sources in one place.
Used to show comparisons between values.
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 Views by Signature Playbook using Databox, follow these steps:
Average Time to First Response metric measures the average time taken by a team to respond to a customer's initial message or inquiry across all channels.
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.
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 Opens by Email Playbook metric measures the number of times a visitor opens an email sent through the Drift email playbook feature. It lets you track the effectiveness of your email campaigns and identify opportunities for improvement.
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.
Click % by Email Playbook is a measure of the percentage of email recipients who clicked on a specific CTA within your email playbook. It shows the effectiveness of your email strategy and helps optimize future campaigns.
The Conversations by Signature Playbook metric measures the number of live chat conversations initiated by a specific Signature Playbook within a given time frame.
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.