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The Total Comments metric on LinkedIn Company Pages indicates the total number of comments left on the page's posts by users. It shows engagement and interaction levels.

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  • About
  • Tech details
What is "Total Comments"?
The Total Comments metric on a LinkedIn Company Page measures the overall number of comments left by users on the page's posts. This metric provides insight into the level of engagement and interaction with the content shared by the company, indicating how well the content resonates with the audience and sparking conversations within the LinkedIn community. Tracking Total Comments helps evaluate the effectiveness of the content strategy and can inform future content decisions to foster more meaningful interactions with followers.
Example: Monitoring total comments on a LinkedIn Company Page post to gauge engagement levels and adjust content strategy accordingly.
This metric has one or more equivalents:

Visualizations

  • Databox visualization

    Number

    Used to show a simple Metric or to draw attention to one key number.

How to track Total Comments in Databox?

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 Comments using Databox, follow these steps:

  1. 1
    Connect LinkedIn Company Pages that contains the metric you want to track
  2. 2
    Select the metric you want to track from the list of available metrics
  3. 3
    Drag and drop the selected metric onto your dashboard
  4. 4
    Watch your dashboard populate in seconds
  5. 5
    Put Total Comments on the Performance screen
  6. 6
    Get Total Comments performance daily with Scorecards or as a weekly digest
  7. 7
    Set Goals to track and improve performance of Total Comments
LinkedIn Company Pages integration with Databox Track Total Comments from LinkedIn Company Pages in Databox GET STARTED

Basics

  • Description
    The Total Comments metric on LinkedIn Company Pages indicates the total number of comments left on the page's posts by users. It shows engagement and interaction levels.
  • Category
    Social Media
  • Subcategory
    Comments
  • Date Added
    2017-01-16
  • Cumulative Support
    Yes
  • Units
    No
  • Granularities
    daily, weekly, monthly, quarterly, yearly, allTime
  • Favorable Trend
    increasing
  • Historical Data
    No
  • Changing historical data
    No
  • Forecast Support
    Yes
  • Benchmark Support
    Yes
  • Media Support
    No
  • Dimension
    N/A
  • Metric Type
    current Learn more
  • API Endpoint
    https://api.linkedin.com/rest/organizationalEntityShareStatistics

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