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Difference between data presented on LinkedIn and on STILINGUE

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Learn how to differentiate metrics within the Proprietary Metrics module

Data on LinkedIn, within the Proprietary Metrics section, may be presented with some divergences when compared to data from the social network. This is because calculations, network updates, and publication dates are important aspects that can interfere with the final value. 

 

STILINGUE considers the analyzed period and the update of publications, respecting the maximum limit of 30 days as long as the publication is among the last 100 collected. 

 

Proprietary Metrics X LinkedIn Data

 

Proprietary Metrics Metric Comparing to LinkedIn Analytics
Overview Followers The data can be compared and should be the same. Even so, there may be differences in analysis when observing daily follower gains.
Posts The data can be compared and should be the same. Regarding the advertisements, it is important to highlight that the ads collected are those carried out in the advertising account for which the user has permission. In this case, if the user lacks any permissions, discrepancies may arise. 
Interactions and Views

The data may be compatible; nevertheless, differences may exist, such as:

- Interactions outside the update interval;

- The method of updating metrics between STILINGUE and LinkedIn;

- Interactions are grouped by the publication date rather than the date when the interaction occurred.


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