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.
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 Opens by Email Playbook using Databox, follow these steps:
This dashboard tracks the traffic levels of visitors using chat for assistance, along with the overall performance of Drift Campaigns.
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.
Sent by Chat Playbook refers to the number of times a particular playbook has been initiated by a user to start a conversation with a visitor on the website or app using the Drift chat feature.
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 Open % by Email Playbook metric measures the percentage of email recipients who opened a specific email sequence or 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.
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.
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.