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STILINGUE Dash Components - Proprietary Metrics

  • Updated

Index:

  1. Introduction
  2. Components
  3. FAQ

Introduction

With the goal of providing solutions to facilitate metrics management, STILINGUE developed the STILINGUE Dash service, where you can create customized dashboards based on your research data, with exclusive filters and relevant graphical elements for your business. 

 

To make it easier to build your dashboard and make it even more personalized, we have made available comprehensive material about all STILINGUE Dash components.

 

Components

Below, learn about all the components and their data source in Proprietary Metrics:

Characteristic Component Data source
List ordered by date (from most recent to oldest) of publications made by registered profiles (includes posts and interactions made by the pages)

Proprietary Publications Timeline



 

 Proprietary Metrics
Sum of the total reach achieved from proprietary publications filtered in the research. Reach is calculated using the same terms as the War Room.

Reach




 

 Proprietary Metrics
Sum of the number of comments that each publication or interaction in the filter has in Social Metrics. In other words, it counts only the comments that appear on each publication/interaction card.

Comments Received



 

 Proprietary Metrics
Sum of all likes received from proprietary publications filtered in the research

Likes Received



 

 Proprietary Metrics
Sum of all engagement actions received from proprietary publications filtered in the research

Engagement Received



 

 Proprietary Metrics
Sum of the total organic and paid impressions from proprietary publications filtered in the research

Impressions



 

 Proprietary Metrics
Ratio of the number of interactions divided by the number of interacting users

Interactions per user






 

 Proprietary Metrics
Total fans gained by the pages selected during the period analyzed New fans Proprietary Metrics
Count of publications from connected pages filtered in the research. Shows proprietary publications by default, but can be adjusted to show all types of interaction

Posts and Interactions



 

 Proprietary Metrics
Represents the result of the equation: (positive publications / collected publications * 100) - (negative publications / collected publications * 100), applied only to received interactions

Interaction Sentiment Thermometer



 

 Proprietary Metrics
Total fans of the pages selected on the final date of the period analyzed Total fans Proprietary Metrics
Count of unique users who interacted with proprietary channels

Interacting users





 

 Proprietary Metrics
Sum of video views on proprietary channels included in and filtered by the research

Views




 

 Proprietary Metrics
Sum of the total reach achieved from proprietary publications filtered in the research during the selected period

Reach Over Time




 

 Proprietary Metrics
Distribution of received interactions by proprietary channel over a period of time

Engagement by channel over time




 

 Proprietary Metrics
Sum of the total organic and paid impressions from proprietary publications filtered in the research during the selected period

Impressions Over Time




 

 Proprietary Metrics
Distribution of received interactions by the percentage proportion of positive, negative, and neutral interactions over a period of time

Interaction Sentiment Percentage Over Time




 

 Proprietary Metrics
Distribution of received interactions by polarity over a period of time Reach Over Time Proprietary Metrics
Breakdown of interactions by positive, negative, or neutral polarity Interaction Sentiment Distribution Proprietary Metrics
List-style cards containing proprietary content ordered by the total engagement achieved

Publications with the Most Engagement




 

 Proprietary Metrics
Distribution of interactions by gender and their breakdown by polarity Interaction Sentiment by Gender Proprietary Metrics
Distribution of publications (posts + interactions) by proprietary channels and their breakdown by polarity Sentiment by Proprietary Channel Proprietary Metrics
Distribution of publications (posts + interactions) by assigned tags and their breakdown by polarity

Sentiment by Proprietary Tag




 

 Proprietary Metrics
Distribution of publications (posts + interactions) by the research topics and their breakdown by polarity Sentiment by Topic Proprietary Metrics
Carousel-style cards containing proprietary content ordered by the total number of comments received

Most Commented Proprietary Publications




 

 Proprietary Metrics
Distribution of the volume of received interactions by proprietary channel

Interactions by Channel




 

 Proprietary Metrics
Daily variation in the number of fans of the pages analyzed during the period, relative to the previous day Fan Base Growth Proprietary Metrics
Comparison of engagement, impressions, and sentiment score of comments on proprietary publications during the period. The quadrants are divided according to the arithmetic mean of the last 90 days

Engagement Matrix by Publication




 

 Proprietary Metrics
Comparison of engagement, impressions, and sentiment score of comments on publications during the period, by tag. The quadrants are divided according to the arithmetic mean of the last 90 days

Engagement Matrix by Tag



 

 Proprietary Metrics
Volume of publications or interactions on proprietary profiles distributed by assigned tags Distribution by Tag (Proprietary) Proprietary Metrics
Volume of publications or interactions on proprietary profiles distributed by topics registered in the research

Distribution by Topic (Proprietary)




 

 Proprietary Metrics
Sum of all engagement actions received from proprietary publications filtered in the research during the selected period Engagement Received Over Time Proprietary Metrics

 

FAQ

Why is this number different from Proprietary Metrics?

The values presented in the Proprietary Metrics component of Sti Dash may differ from those displayed on the system's Proprietary Metrics screen. This occurs because each feature has its own criteria for selecting and counting publications and interactions. 

In Dash, the component considers the comments associated with the publications and interactions returned according to the applied filters, including proprietary publications, Stories, and Reels. Proprietary Metrics, on the other hand, presents data according to the selected social network and the counting criteria for that feature. 

Why can the values vary?

  • Set of publications: the features may consider different sets of publications, including different types, such as dark posts. 

  • Interaction Filter: the “Indifferent” option may include third-party interactions, such as mentions, expanding the set of items considered.

  • Status Filter: this filter applies to service items and may change the results displayed in the component, including excluding brand publications from the total even when all statuses are selected.

  • Period analyzed: extended periods may show differences related to counter updates. 

Therefore, this factor should also be considered in the analysis.

Important: Dash values and Proprietary Metrics values should not be compared directly as if they necessarily represented the same data set. Applying the same period, page, and social network filters does not guarantee identical results, because the selection and counting rules may also differ. When analyzing a discrepancy, check the applied filters and consider the specific rules of each feature before interpreting the values presented.

 

 

For more information, access the discussion about this topic in our community or the videos on our channel. 😃

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