Skip to main content

Analyzing and managing monitor data

Want to know how to effectively analyze and manage monitor data? Here are answers to the most common questions.

What happens after a monitor is created?

The monitor automatically begins collecting data from the selected sources. This data can then be explored through dashboards and analytics tools to track performance, identify trends, and generate insights that support business decisions.

How do filters work when analyzing monitor data?

Filters allow users to narrow down results and focus on the most relevant insights. They can be applied to authors, posts, or engagement metrics. For recurring analysis, filters can be saved and reused to quickly apply the same conditions across different datasets.

Can a monitor be modified after it has been created?

Yes, monitors can be updated at any time to reflect changing monitoring needs. This includes modifying tracked accounts, keywords, and conditions, as well as pausing or removing a monitor when it is no longer needed.

What is historical data and how can it be used?

Historical data refers to conversations that predate the creation of a monitor. It can be requested for supported data sources to extend analysis beyond newly collected conversations. Availability and coverage depend on the selected data source.

What does Summary by Luci provide?

Summary by Luci highlights key themes and trends within collected conversations, helping teams quickly grasp large volumes of data and focus on the most important insights without having to review every conversation individually.

Have more questions? Browse the Help Center articles or reach out to our support team for further assistance.

Did this answer your question?