The Clicks by Email Playbook metric measures the total number of clicks on links in marketing emails sent through the Drift platform.
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 Clicks 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.
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 Meetings Booked by Chat Playbook metric measures how many meetings were scheduled as a result of utilizing specific chat playbooks.
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.
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 Open % by Email Playbook metric measures the percentage of email recipients who opened a specific email sequence or playbook.
Opens by Signature Playbook metric measures how many times signature playbooks were opened by website visitors, providing insight into the effectiveness of personalized messaging.
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.
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.