Each network share is counted as a single share. If a user shares to Twitter and LinkedIn, their activity will be counted as two shares.

Engagements reflect how much the audience has interacted with a piece of content posted from EveryoneSocial to another social network. These include likes, comments, reshares, and retweets (engagements on external networks). Engagement data can also be used to measure a campaign’s success and determine the content that resonates most with an audience.

Great question! The difference between these two values is their source. One originates from an activity outside EveryoneSocial. The other displays activity within EveryoneSocial. The value engagements displays engagements from external networks (such as LinkedIn and Twitter). Any value with engage_actions displays a count of times Engage was clicked on a post in EveryoneSocial (aka, an engageable post) to engage directly with the post on another network.

Twitter and LinkedIn don’t share impression data with third parties. So we analyzed over a year’s public data to build impression estimations modeled on real-world usage. Estimates are as follows. For every engagement, the user gets 60 impressions. If there are 0 engagements, the user receives 25 impressions.
Calculate Impressions using the following equation: Impressions = (60 x number of engagements) + 25
Click here to learn more about Impression data.

Posts are considered branded if they meet one of two criteria.

1. The post is a URL post and the URL is part of URL Tracking in Admin Settings.
2. Users assigned the Contributor and Admin roles and Group Owners and Group Moderators can mark content as branded during post creation.

Check out our article on how to create branded content for more information.

Changes are only specific to your user profile, allowing multiple ROI programs to run within a single organization or program. Ideally, every admin on the same team should enter ROI numbers the department recognizes as the average cost per click on each network.

Deleted users have information scrubbed from our system, and we will not have information associated with a deleted user’s profile, such as a name and email. Instead, metrics for their actions will be associated with the user_state “Deleted,” and all available counts for actions taken will be tracked accordingly.

Great question!

Users Report pulls data based on when an action occurs for the user. So if a user shared content 63 days ago but the share is still getting actionable data, such as clicks and engagements, then the Users Report would track the clicks and engagements made if they occurred during the reporting period.

Shares Report bases the reporting period on when the Share happened. So if a share occurred 63 days ago and the reporting period was the last 30 days, the report would not include clicks and engagements made, even if the clicks and engagements happened in the reporting period. They will only be tracked if the reporting period included the date the share was made.

Only Twitter and LinkedIn permit reporting engagements and followers.

Prior to February 24, 2022, EveryoneSocial did not add a value to the approved_by metric if the content was auto-approved. This includes content that was

• Added by an admin.
• Added in a Group that didn’t require approval to post.
• Already approved to publish in the primary Group, which approves publication to secondary Groups.
• Is content from an automated source that did not require approval.

All content published after February 24, 2022, will have a value for approved_by which will be a person’s name or “auto-approved.”

Having data that doesn't match is one of our least favorite things, and we'd like to find out what's causing all the problems.

If you see data you believe is inaccurate or isn’t what you’d expect, please connect with our support team and provide as much detail as possible, including but not limited to:

• How you are getting the data?
• What is the reporting period?
• When did you pull a report or get this data?
• Was the data edited in any way, such as columns removed?
• What is the discrepancy?
• What do you expect to see?

Any information provided will greatly help us determine the root cause.