Have you been sometimes confused by all of the social media metrics that are out there? Do you want to know what they mean and in which way they could be helpful for your social media strategy?
This article aims to help you out! We decided to summarize our metrics in one place to give you an overview of the social media metrics quintly offers. You'll be surprised how many specific metrics are available to help you analyze your social media performance.
With the insights these metrics offer you, you'll be able to improve your social media strategy according to the insights found through data and make the moves to have your social media channels shine!
FacebookView the message and creation time of all the ads created within the selected time frame, along with Spend, CPM, CPC, CPP, CPE, and Creative Type.
Compare the number and percentage of ads based on organic posts and ads based on dark posts per page. For this metric, we use a total interval, which means that we show all ads which were created in the selected time frame.
Get an overview of the pages' ads key metrics, including Total Ads, Total Spend, Page Likes, Reactions, Comments, Clicks, Impressions and Average Reach per post.
Compare the number and percentage of different objectives of ads per page. The metric uses a total interval, meaning that we show all ads which were created within the selected time frame.
View the message and creation time of all the ads created within the measured time period, along with the Objective, Frequency, Reach, Impressions, Page Likes, Reactions, Comments, Clicks, Post Type, and Creative Type.
Analyze the performance of each page's posts based on the average comments they receive. This sums up all the comments on all the posts within the interval and divides it by the number of posts that were posted in the interval.
Analyze the performance of each page's posts based on the average interactions they earn. This sums up all of the interactions on all the posts that were posted within the interval.
Analyze the performance of each page's posts based on the average reactions they earn. This sums up all reactions on all the posts within the interval and divides it by the number of posts that were posted in the interval.
Analyze the performance of each page's posts based on the average shares they earn. This sums up the shares on all of the posts within the interval and divides it by the number of posts that were posted in the interval.
View correlations between the average Interaction Rate and the number of posts published by the selected pages. The average Interaction Rate takes into account the number of interactions of each post, divided by the number of the page's Fans on the day that the post was created to get a normalized number.
Analyze the average response time of incoming user questions and private conversations of a page and also compare it with other pages you have insights access for.
Analyze and compare how fast pages reply to questions created by users or other pages in the selected time frame. A user post - which Facebook calls a "visitor post" - is content that is posted or shared to the page's timeline by a different page's user. Not all user post are automatically considered questions, only the ones which meet the basic question characteristics, such as a question mark.
Analyze when users check-in, meaning when they update their status to show they've visited a certain page's address (as long as the page has a physical address associated with it).
Analyze and compare the change in check-ins that occurred in the measured time frame between pages. A check-in is counted when a user updates their status to show they've visited a certain page's address (as long as the page has a physical address associated with it).
View the messages of all the comments on posts that were created in the selected time frame. It's important to note that comments on targeted posts aren't imported, however, we do show deleted comments once they're in our database.
View the number of conversations your pages had in the selected time frame, along with the split of pages messages and users messages and the average response time of the conversations. It also includes conversations that were started by the page by privately replying to a user's comment on one of the page's posts.
Analyze the engaged users per page. An engagement isn't only interactions on posts. It also includes user clicks on any of the page's content. For example: if a user is clicks to make the image larger or clicks on "Read More", it counts as engagement.
This metric shows engaged users in relation to all users reached as a percentage over time. Engaged users are defined as the number of people who engaged with your Page.
Compare engagement rates between pages broken down by the different post types. This index shows the average engagement rate per post of a certain post type.
View the message and creation time of all the posts created in the selected time frame that have expired, along with their resulting interactions and I-Rate, unique link clicks, reach (total and paid vs. organic), engaged users. targeting and the type of post. Expired posts are defined as posts that the page has set to expire, meaning that they will no longer be found on the page's timeline. Since users can no longer find these posts, they can't gain any more reach or interactions. Posts that are still published, won't be found in this table.
Analyze the number of your Fans by the different age groups (13-17, 18-24, 24-34, 35-44, 45-54, 55-64, and 65+) and gender (male or female). If you have multiple pages selected, this will sum up the Fan counts for all the pages.
Compare the proportion of Fans in percentages between pages. This metric uses a total interval, meaning that the Fan numbers are based on the last date of the selected time frame.
Compare the number and percentages of Fans per page, relative to one another.
View the top 45 cities and their respective Fan counts. The size of the circles on the map are based on the number of Fans in the city. The larger the circle, the more Fans. It's also possible to zoom in and out on the map and even click on specific countries. This metric uses a total interval, so Fan numbers are based on the end date of the selected time frame.
View the top 45 cities and their respective Fan counts. If multiple pages are selected, their Fan count will be totaled. This metric uses a total interval, so Fan numbers are based on the end date of the measured time period.
View the top 45 countries and their respective Fan counts, along with the share of fans in relation to all page fans for the selected insights-connected page. If multiple insights-connected pages are selected, their fan counts will be summed. This metric uses a total interval, so fan numbers are based on the end date of the selected time frame.
View the top 45 countries and their respective Fan counts of pages connected with Insights. The colors that the countries are highlighted in are based on the number of Fans in that country. The darker the color, the more Fans the page has. If multiple Insights-connected pages are selected the Fan counts will be added up. This metric uses a total interval, so the number of Fans is based on the last date of the selected time frame.
Analyze and compare the change in total Fans between selected pages. Public Fan numbers are imported 4 times per day, roughly every 6 hours. This metric uses public Fan data. Insights Fans numbers are imported differently. It's only possible to import data from them once per day.
With this metric, you get an overview of the sources by which your page fans liked or unliked your page.
Analyze and compare the average change in total Fans between selected pages broken down by each day of the week. If you have more than 7 days selected in the Date Selector, we average the values of each weekday in one column.
Analyze the relative amount of Fans gained or lost per page within the interval. By showing it as a percentage, the values are normalized which allows comparison among pages of different sizes.
This metric shows the total number of people who have disliked the page. The data is gathered from Facebook Insights and may differ slightly from our Fan chart due to the time zone differences.
With this metric, you can view the development of Fans during the last 3, 7 or 30 days in total numbers as well as the change in percentages.
This metric shows the overall number of Fans per page. You can use it to track your own fan count or compare multiple pages.
The quintly tool imports the Public Fan numbers 4 times per day, roughly every 6 hours.
For this metric, we solely track Public Fan data.
Analyze the global Fan counts of pages over time. Global refers to pages being part of a Facebook global page. For regular pages this metric will show the normal Fan count. For those pages being global, it will show the global instead of the regional Fan count.
Get an overview of all the hashtags that were used in posts created in the selected time frame by the selected pages. The Posts column is a total count, while Reactions Comments, Shares and Total Interactions are averages. This means that the interactions are summed up on all the posts within the selected time frame that use the hashtag and then are divided by the number of posts that use the hashtag.
Analyze how many people are actively clicking on posts in order to not see any posts by this page in the future.
Analyze how many people are actively clicking on posts in order to not see them.
This metric illustrates when the fans of each Facebook page were active on each day on an hourly basis. The pages are being represented in different colored bubbles. The maximum value that a bubble can have is 1, which represents the maximum number of fans online in an hour during the selected time period. All the bubbles values are relative to this maximum value. The metric doesn't serve the purpose of illustrating how many fans were online but rather when they're most active, as well as, how the fans' activity compares between the pages.
View how many times content was reached by users. -This includes any ads and sponsored stories, as well as dark posts. This is not a unique value, meaning for example if a person sees a page update in their News Feed and then sees a different page update shared by a friend, that user would be counted twice.
Analyze and compare the total number of user posts and private conversations within the selected time frame broken down by both weekday and hour. The bigger the bubble, the more user-posts or private conversations came in at that point. If multiple pages are selected in the Profile Selector, their counts will be added up.
Compare engagement between pages irrespective of their differing Fan counts. This index takes into account the number of interactions, divided by the number of posts created in the selected time frame and then divided again by the page's Fan count to get to a normalized number. This allows for comparison between smaller and larger pages alike.
Compare engagement between pages broken down by hour irrespective of their differing Fan counts. This index takes into account the number of interactions, divided by the number of posts created each hour and then divided again by the page's fan count to get to a normalized number. This allows for comparison between smaller and bigger pages alike.
See correlations between the Interactions Rate and the number of hashtags used in posts published by selected pages. The Interaction Rate takes into account the number of interactions, divided by the number of posts created in the selected time frame and then divided again by the page's average Fans to get to a normalized number.
Using this metric you can compare engagement between pages broken down by the different post types irrespective of their differing Fan counts. This index takes into account the average interaction rate per post for each post type. The interaction rate per post is calculated by taking the number of interactions of the post divided by the page’s Fans on the day the post was published to get a normalized number. This allows for comparison between similar and larger pages alike.
This bubble chart makes it possible to learn on which day and at what time a page or a group gets which interaction rate. Using this metric you can easily analyze on which day and time your users are most active and probably adapt your Facebook posting behavior to get better interaction rates. If this metric is used with a group, you'll get the average values of the Facebook pages in the said group. This way you can easily see at what day and time of the week how many users interacted with the pages on average. This can, of course, vary depending on the industry and easily reveal certain and valuable user interaction trends.
Compare engagement between pages broken down by hour irrespective of their differing Fan counts. This index takes into account the number of interactions, divided by the number of posts created each hour and then divided again by the page's fan count to get to a normalized number. This allows for comparison between smaller and bigger pages alike. The interactions in this metric are based on the creation time of the interacted-with post and not the time the interaction occurred at.
With this metric, you can compare the number and percentage of different post interactions per page.
In this metric interactions are defined as the sum of reactions (Like, Love, Wow, Haha; Sad, Angry), comments and shares. For normalization on a per post level, we divide interactions by the number of posts in the selected time frame. As a result, this will show the average number of interactions per post for each of the post types.
Get an overview of the pages' key metrics, including Reach, Share of Organic Reach, Post Reach, Share of Organic Post Reach, Engaged Users, Engagement Rate and Page Consumptions per month.
With this metric, you can get an overview of each of the pages’ key metrics, including Fans, Fans Change Rate, Posts, Reactions, Comments, Shares, User Posts, Interactions Rate & Response Rate. It's being simply visualized as a radar plot. This metric is very similar to the Key Metrics Table.
This metric will give you a nice overview of the pages’ most important metrics, which are: Fans, Fans Change, Posts, Reactions, Comments, Shares, User Posts, Interaction Rate & Response Rate. Each page is shown in their own row, 1 row per page.
This graph shows the Organic Post Reach defined by the new definition (only users where posts have entered their screen) in relation to Organic Post Reach defined by the old definition (includes users that the posts have been served to, but were not yet visible on their screen). The percentage is calculated by averaging the daily percentages for the selected time period.
This graph shows the Organic Post Reach defined by the new definition (only users where posts have entered their screen) in relation to Organic Post Reach defined by the old definition (includes users that the posts have been served to, but were not yet visible on their screen).
You can use this metric to analyze and compare the total number of posts each page posted during the selected time frame. You can use it to see how often your competitors post and see if you need to up your number of posts. Keep in mind that when working with public post data, we don’t import targeted posts, however. We do show deleted posts in the metric once they are in our database.
View the distribution of apps used whether desktop or posting tools by a page when posting to their own timeline during the measured time period.
Analyze and compare the total number of posts created by each page broken down by the hour. It's important to note that when working with public post data, we don't import targeted posts, however, we do show posts that have been deleted, once they're in our database.
Analyze and compare the total number of posts created in the selected time frame by the selected pages broken down by both weekday and hour. The bigger the bubble, the more posts that were published at that point.
Analyze and compare the total number of posts created by each page broken down by weekday. It's important to note that when working with public post data, we don't import targeted posts, however, we do show deleted posts once they're in our database.
You can view the message and the creation time of all the posts created in the measured time frame, along with their resulting interactions and I-Rate, the type of post and the likelihood of it being sponsored. It’s important to note that when working with public post data, we don’t import targeted posts, but we do show deleted posts once they are in our database.
Analyze and compare the total number of video posts each page posted during the selected time frame. It's important to note that when working with public post data, we don't import targeted posts, however, we do show deleted posts once they're in our database.
This table shows a list of all the Facebook videos uploaded by the pages. A video can be used within multiple posts and using the crossposting functionality even across multiple Facebook Pages. The metrics shown per video hold the total performance, covering own posts and crossposting of the video.
This metric shows daily averages for Impressions, Reach, and engaged users. Facebook only provides aggregations for a day, a week and 28 days, which is why this metric is calculating the daily averages to work with any time period selected.
Analyze and compare the average number of page fans that were online in the selected time frame broken down by both weekday and hour. The bigger the bubble, the more fans were online at that point.
View the number of unique reached users during the last 1, 7 and 28 days respective of the selected end-date.
Compare the share of viral page post impressions to the total number of page post impressions. Page post impressions are impressions that came from all of the Page's posts within the current interval. Viral page post impressions are defined as the number of users who saw the Page's posts from a story published by a friend. These stories include: Liking your page, Posting to your Page's timeline, Liking, Commenting on or sharing one of your Page posts, Answering a Question you posted, RSVPing to one of your events, Mentioning your Page, photo tagging your Page, Checking in at your Place.
Analyze how many people are actively unliking a page. You can measure multiple of your pages in this metric.
Analyze how often each page was viewed either by a user logged into Facebook or logged out. This value is not unique, meaning that if the same user looks at a page twice, they will be counted 2 times.
Compare the top referring external domains sending traffic to the page by the number of views they induced.
This metric shows the number of paid and organic impressions over time. In case a group of Facebook Pages is selected, each line will show the paid/organic impressions of each selected page in its own color.
With this metric, you can see how the positive and negative reactions are distributed over the selected time period.
Compare the number and percentage of different types of posts. This metrics uses a total interval, meaning we show all posts which were posted within the selected time frame.
Compare the number and percentage of different types of posts per profile. This metric uses a total interval, which means that we show all the posts which were posted in the selected time frame.
With this metric, you can analyze and compare the total number of posts published in the selected time frame and their I-Rates broken down by both weekday and hour. The bigger the bubble is, the more posts or the higher Interaction Rate occurred at that point. (If you use this metric with a group, you will get the average value of all Facebook pages included in this group.
The Interaction Rate metric allows you to compare engagement between pages irrespective of their differing Fan counts. This index takes into account the number of interactions, divided by the number of posts created each day and hour and divided again by the page’s Fans to get a normalized number. This allows for comparison between smaller and larger pages alike.
Compare the response times relative to the total number of private conversations of the page within the selected time frame. The response time is the time difference between the start of a private conversation and the first reply of the page. The possible intervals are: 0h - 2h, 2h - 8h, 8h - 24h, and 24h+.
Please note, that in these charts we don't include conversations that were started by the page privately replying to a user's comment. If the page started the conversation by privately replying to a user's comment on one of the page's posts, no response time will be calculated as the creation time of the comment is unavailable.
View the message and the time it was created of all the private messages created within the selected time frame, along with the first reply, the total number of replies and response time. The response time is the time difference between the creation time of the message and the first reply by the page owner to this message. It also includes conversations that were started by the page by privately replying to a user's comment on one of the page's posts.
View the message and the creation time of all the posts created in the selected time frame that are published, along with their resulting interactions and I-Rate, unique link clicks, reach (total & paid vs. organic), engaged users, targeting and the type of post. Posts that have expired will not be found in this table. However, they can be found in the Insights Own Posts Table and the Insights Expired Posts Table
View how much content was reached by users - this includes any ads, sponsored stories, and dark posts. This metric counts unique users, meaning that if a person visits the same page more than once it will only be counted once.
View the countries your Page's content reached users from. The number of reached users you see in the table is the average per day in the selected time period.
Compare Post Reach between Facebook Pages broken down by the different post types. This averages the Reach of posts published in the selected time frame by each post type. If a Facebook Page didn't publish a post with a certain post type in the selected time frame, the metric won't show any data for that given post type.
Compare the number and percentage of different types of reach per page. There are 3 types of reach: Viral Reach: Number of users who saw your page or one of your posts from a story by a friend. Organic Reach: Number of users who saw your posts in the news feed or ticker. Paid Reach: Number of users who saw a sponsored story or ad pointing to your page.
Compare the number and percentage of different types of reach per page, shown for the last 28 day. There are 3 types of reach: Viral Reach: Number of users who saw your page or one of your posts from a story by a friend. Organic Reach: Number of users who saw your posts in the news feed or ticker. Paid Reach: Number of users who saw a sponsored story or ad pointing to your page.
This metric illustrates how reactions (like, love, wow, haha, sad, angry) are divided percentage-wise through time. This way trends can be identified so that further analysis can be carried on specific dates. In the case that multiple pages are selected, their reactions will be summed.
Compare the number and percentage of different post reactions per page. Please note that the reactions are based on the creation time of the interacted-with post, and not the time at which the reaction occurred. This also means that if no posts were posted within the selected time frame, the reactions will be 0.
In this metric, you can view correlations between the number of user questions the selected pages received in the selected time frame and their response rate. The response rate shows the share of user questions the page responded to.
View the response time of pages to each user question. This is calculated as the time difference between the creation of a user post and the first answer of the page owner to his post. The possible intervals are: 0h - 2h, 2h - 8h, 8h - 24h, and 24h+. quintly uses an intelligent algorithm to identify real questions using a variety of indicators.
Compare the response times relative to the number of questions the page reviewed within the selected time frame. The response time is the difference between the creation of a user post and the answer of the page owner to this post. The possible intervals are: 0h - 2h, 2h - 8h, 8h - 24h, and 24h+.
Analyze the share of user questions that have received negative feedback in the form of "angry" reactions and compare it between multiple pages.
With this metric, you can analyze how many people are actively marking a page's post as spam.
Compare the number and percentage of posts that are classified as likely sponsored vs. unlikely sponsored per page.
Compare the number and percentage of different types of stories created about the page. This metric uses a total interval, meaning we show all stories which were posted in the selected time frame.
Compare the total number of interactions that pages' posts published in the selected time frame earned. This is based on the creation time of the interacted-with post and not the time the interaction occurred at.
Analyze and compare the total number of posts created by users for each page. A user post - known on Facebook as a "visitor post" - is content posted or shared to the Page's timeline by a user or a different page. Analyze and compare the total number of posts created by users for each page. A user post - known on Facebook as a "visitor post" - is content posted or shared to the Page's timeline by a user or a different page.
In this metric, you can view the distribution of apps used whether desktop or posting tools by users when they post to a page during the selected time frame.
Analyze and compare the total number of posts created by users or other pages within the selected time frame for each page broken down by the hour. A user post - known on Facebook as a “visitor post” - is content posted to the Page’s timeline by a user or a different page.
Using this metric you can analyze and compare the total number of posts created by users on a page broken down by both weekday and hour. A user post - known on Facebook as a "visitor post" - is content posted or shared to the Page's timeline by a user or a different page. The larger the bubble, the more posts that were published at that point. If more than 1 page is selected, their values will be summed.
Analyze and compare the total number of posts created by users or other pages in the selected time period for each page broken down by weekday. A user post - known on Facebook as a “visitor post” - is content shared on the Page’s timeline by a user or a different page.
View the message and creation time of all the posts users posted in the measured time period, along with their resulting interactions and response times, and the type of post. A user post - known on Facebook as a "visitor post" - is content posted by a user or a different page.
View and Compare the number of questions pages received. User questions are basically user posts which meet basic question characteristics.
Analyze and compare the total number of questions created by users or other pages in the selected time frame for each page broken down by weekday.
Compare the number and percentage of total negative feedback and total other feedback of the selected page's user questions.
Analyze the average number of users per native Facebook video post published in the selected time frame and how they pass through the funnel at different levels of engagement.
Compare the number and percentage of different types of videos per page. This metric uses a total interval, meaning that we show all videos which had been bosted within the measured time period.
Compare the number of video views per page that occurred within the selected time frame.
With this metric, you get an overview of the different kinds of video views, as well as. the number of video views the pages got within the selected time period.
View how much content was virally reached by users. This includes any story that was generated by a user's friend by liking the Page, posting to the Page's Timeline, liking, commenting on or sharing one of the Page's posts, answering a Question the Page posted, RSVPing to one of the events, mentioning the Page, photo tagging the Page or checking in at the Page's place. This metric counts unique users, which means that if one user sees the content more than once, it will only count as one.
TwitterAnalyze the performance of the tweets of each account based on the average interactions they earn. This metric sums all interactions on all the tweets within the interval and divides it by the number of tweets that were posted during the interval.
Analyze the performance of each account’s own tweets based on the average likes they earn. This metric sums the likes on all the own tweets within the interval and divides it by the number of tweets that were posted during the interval. Own tweets are tweets that are no replies or retweets, it’s original content.
Analyze the performance of each account’s tweets based on the average replies they receive. This sums the replies on all the tweets within the interval and divides it by the number of own tweets that were posted during the interval.
Analyze the performance of each account’s own tweets based on the average retweets they earn. In the metric, the retweets on all own tweets within the interval are summed and then divided by the number of tweets that were posted during the interval. Own tweets are tweets that or not replies or have not been retweeted.
View correlations between the Interaction Rate and number of tweets published by selected accounts. The average Interaction Rate takes into account the number of interactions of each tweet, divided by the number of followers of the account on the day that the tweet was created to get to a normalized number.
Analyze the performance of each account’s tweets based on the average impressions they got. This adds up all the impressions of all the tweets within the interval and divides it by the number of tweets that were tweeted during the interval.
Analyze the performance of each account’s user questions based on the average interactions they earn. The metric sums all interactions on all the user questions within the interval and divides it by the number of questions users asked during the interval. Questions are a subset of the mentions of an account. Not all mentions are considered questions, only the ones which meet basic question characteristics.
Analyze and compare how fast accounts reply to questions created by users in the selected time frame. Questions are a subset of the mentions of an account. Not all mentions are considered questions, only the ones which meet basic question characteristics.
Discover on which day and at what time an account or a group earns the most engagement. If this metric is used for a group of accounts, you will get a sum of all the values of the accounts in the group.
View and Analyze the amount of engagement the own tweets have received per weekday. Engagements count as Retweets, Likes, Replies, URL Clicks, Media Views.
Compare the proportion of followers in percent between accounts. This metric uses a total interval, so follower numbers are based on the end date of the selected time frame.
Compare the number and percentage of followers per account relative to one another.
Analyze and compare the change in total followers between selected accounts.
Analyze and compare the average change in total followers between selected accounts broken down by the day of the week. If you have more than 7 days selected in the Date Selector, the values of each weekday get averaged in one column.
Analyze the relative amount of followers gained or lost per account within the interval. By showing it as a percentage, the values are normalized which allows for comparison among accounts of different sizes.
View the development of followers during the last 3,7 and 30 days in total as well as the change in percentages.
Compare the overall numbers of followers per account.
Analyze and compare the change in the number of accounts each account follows over time.
Analyze the relative change in the total number of accounts each account is following within the selected interval. By showing it as a percentage, the values are normalized which allows for comparison between accounts of different sizes.
Compare the overall number of Twitter accounts each analyzed account is following.
Use this metric to get an overview of all the hashtags that were used in “own tweets” created in the selected time frame by the selected account(s). Own tweets exclude retweeted tweets and replies to users.
Discover on which day and at what time an account or a group earns the most impressions on own tweets. Please note that if this metric is used for a group, you’ll get the added values of all the accounts in the group.
This metrics shows how many impressions were received by the accounts on which weekdays.
Analyze and compare the total engagements and impressions on own tweets published in the selected time frame broken down by both weekday and hour. The larger the bubble, the more impressions or engagements that were earned. If this metric is used for a group
Compare engagement between accounts irrespective of their differing follower counts. The metric takes into account the number of interactions on own tweets, divided by the number of own tweets created within the measured time period and then again divided by the account’s followers to get to a normalized number.
Compare engagement between accounts broken down by the hour irrespective of their differing follower counts. The metric takes into account the number of interactions, divided b the number of tweets created each hour and then divided again by the account’s followers to get to a normalized number. It allows for comparison between smaller and larger accounts alike.
View correlations between the Interaction rate and the number of hashtags used in own tweets published by the selected accounts. The interaction rate takes into account the number of interactions, divided by the number of tweets created in the selected time frame and then divided again by the account’s average followers to get a normalized number.
Compare engagement between accounts broken down by both weekday and hour irrespective of their differing follower counts. The metric takes into account the number of interactions, divided by the number of tweets created each day and hour and then again divided by the account’s followers to get to a normalized number.
Compare engagement between accounts broken down by weekday irrespective of their differing follower counts. The metric takes into account the number of interactions, divided by the number of tweets created each day of the week and then divided again by the account’s followers to get to a normalized number.
Compare the number and percentage of different tweet interactions per account.
Identify the key interacting users and how often those users an account during the selected time frame. When using this metric with more than one account it may show you some overlaps.
Get an overview of the accounts’ key metrics, including Followers, Followers Change, Tweets, Own Tweets, Retweeted Tweets, Replies to Users, All Retweets, Retweets on Own Tweets, Likes on Own Tweets, Replies on Own Tweets, Mentions, Interaction rate, and Response Rate.
Analyze and compare the total number of tweets by users that mention an analyzed account.
Analyze and compare the total number of mentions of each account within the selected time frame broken down by the hour. If you have more than 24 hours selected in the Date Selector, we sum up the values of each hour.
Analyze and compare the total number of mentions of each account in the selected time frame broken down by the hour. If you have more than 24 hours selected in the Date Selector, we sum up the values of each hour.
Analyze and compare the total number of mentions of the selected accounts within the selected time period broken down by day of the week.
See overlaps between mentions of the selected accounts and other accounts. It answers the questions, for example, for if who mentioned account A also mentioned account X, Y and Z. The data in the chart is based on the Twitter mentions. When a user mentions your twitter account we identify the accounts that also have been mentioned by the same unique user. These mentions do not have to occur within the same tweet.
View the message and the creation time of all the mentions of the analyzed accounts users tweeted in the selected time frame, along with their resulting interactions and response times.
View the message and creation time of all the own tweets and retweeted tweets posted within the selected time frame, along with their resulting interactions and I-rate. It’s important to note that we do show deleted tweets once they’re in our database.
Analyze and compare the total number of own tweets each account posted during the selected time frame. Own tweets are tweets are tweets that are not retweeted or replies to other users. It is original content. Note that we do show deleted posts once they’re in our database.
Analyze and compare the total number of own tweets created by each account broken down by the hour. Please note, that when working with public post data, we do show deleted tweets once they’re in our database.
Analyze and compare the total number of own tweets created in the selected time frame by the selected accounts broken down by both weekday and hour. The bigger the bubble, the more own tweets that were published at that point.
Analyze and compare the total number of own tweets created by each account broken down by weekday. Note that when working with public post data, we do show deleted tweets once they’re in our database.
View the message and creation time of all the own tweets posted in the selected time frame, along with their resulting interactions, Interaction Rate, impressions, engagements & Engagement Rate.
View the message and the creation time of all the questions users asked in the selected time frame, along with their resulting interactions and response times. Not all mentions are considered questions, only ones which meet basic question characteristics, like a question mark.
Analyze how the replies to users change over time.
View correlations between the number of user questions the selected accounts received within the selected time period and their response rate. The response rate shows the share of user questions the account responded to.
View the response time of accounts to every question. This is calculated as the time difference between the creation of a mention of the account that includes a question and the first answer of the account owner to that question. The possible intervals are: 0h - 2h, 2h - 8h, 8h - 24h, and 24h+.
Compare the response times relative to the total number of questions the account received within the selected time frame. The response time is the time difference between the creation time of a mention of the account that includes a question and the first answer of the account owner to this question. Not all mentions are considered questions, only ones which meet basic question characteristics, like a question mark. The possible intervals are: 0h - 2h, 2h - 8h, 8h - 24h, and 24h+.
Analyze and compare the absolute change of retweeted tweets. Retweeted tweets are tweets accounts retweet from other accounts, meaning that it is not original content.
Analyze and compare the total number of retweets earned on own tweets plus retweets earned on replies to users posted by each account during the selected time frame.
The Twitter handles illustrated in this metric are the sources used by the selected profiles in their retweets. The amount of retweets per source is taken into account for the the retweets published during the selected time period.
Compare the total number of interactions that accounts’ own tweets published in the selected time period earned. This is based on the creation time of the interacted-with tweet and not the time the interaction occurred at.
Compare the number and percentage of own and retweeted tweets per account. This metric uses a total interval, meaning we show all tweets which were posted in the selected time frame.
Analyze and compare the total number of tweets each account posted during the selected time frame. It’s important to note that we do show deleted tweets once they’re in our database.
Compare the overall number of tweets per account.
Analyze and compare the total number of tweets published in the selected time frame and their I-Rates broken down by both weekday and hour. The bigger the bubble, the more tweets or the higher Interaction Rate that occurred at that point.
View the average interaction rate and engagement rate over a period of time as well as the number of followers at the end of said period. We also view the total retweets, faves, replies, impressions, and engagements of the twitter handle over that period of time.
Analyze and compare the number of questions accounts received by users in the selected interval. Questions are a subset of the mentions of an account. Not all mentions are considered questions, only ones which meet basic question characteristics, like a question mark.
Analyze and compare the number of questions created by users in the selected time frame fo reach account broken down by weekday. Questions are a subset of the mentions of an account. Not all mentions are considered questions, only ones which meet basic question characteristics, like a question mark.
Compare the response times relative to the total number of questions the account received within the selected time frame. The response time is the time difference between the creation of a mention and the answer of the account owner to this tweet. The possible intervals are: 0h - 2h, 2h - 8h, 8h - 24h, and 24h+. Questions are a subset of the mentions of an account. Not all mentions are considered questions, only ones which meet basic question characteristics, like a question mark.
View the message and creation time of all questions of the analyzed accounts users asked in the selected time frame, along with their resulting interactions and response times. Questions are a subset of the mentions of an account. Not all mentions are considered questions, only ones which meet basic question characteristics, like a question mark.
YouTubeGet an overview of the channels’ key metrics including Subscribers, Total, and Total Views. Please note that data access is limited to the last 30 days.
Get an overview of the channels’ key metrics including Subscribers, Total, and Total Views. This is limited to the last 30 days.
View the top 45 countries and their respective metrics per channel within the selected time frame.
View the device and respective metrics per channel within the selected time frame.
Get an overview of the channels’ metrics based on private-level statistics, including Subscribers Gained, Subscribers Lost, Video Views, Likes, Dislikes, Comments, Shares, Estimated Minutes Watched, Average View Duration (in seconds) and Average View Percentage.
View the playback location and respective metrics by channel within the selected time frame.
View all the playlists that are currently online, along with their key metrics.
Analyze the top ten videos’ key metrics. Note that this table doesn’t show a video’s overall performance, but instead shows its performance within the selected time period.
This metric shows a table that compares the metrics by channel and traffic source.
Analyze and compare the number of times videos were viewed by channel during the selected time period.
With this metric, you can view all videos published in the selected time period, along with their metrics from YouTube Analytics (private level statistics).
Compare the total number of subscribers per channel over time. Note that this is limited to last 30 days.
Compare the total number of video views per channel. This is limited to last 30 days. Please note that this count is an aggregated total view count on channel level as provided by YouTube.
Compare the total number of videos per channel. This is limited to last 30 days. Please note, that the total number of videos can decrease if videos are deleted.
View all videos published during the selected time period, along with their resulting interactions and number of total views. Note, that if a video’s privacy setting is not public, the video won’t be listed here.
LinkedInAnalyze the performance of each account’s updates based on the average comments they earn. This sums the comments on all the updates within the interval and divides it by the number of updates that were posted during the interval.
Analyze the performance of each page’s updates based on the average interactions they earn. This sums the interactions on all the updates within the interval and divides it by the number of updates that were posted during the interval.
Analyze the performance of each page’s updates based on the average likes they earn. This sums the likes on all the updates within the interval and divides it by the number of updates that were posted in the interval.
Compare the proportion of followers in percentages between accounts.
Compare the number and percentage of followers per account relative to one another.
Analyze and compare the change in total followers between selected accounts.
Analyze and compare the average change in total followers between selected accounts broken down by day of the week.
Analyze the relative amount of followers gained or lost per account within the interval. By showing it in percentages the values are normalized which allows for comparison among accounts of different sizes.
View the development of followers during the last 3, 7, and 30 days in total numbers as well as the change in percentages.
Compare the overall number of followers per account.
Get an overview of all the hashtags that were used in updates created in the selected time frame by the selected pages.
Use this metric to compare engagement between pages irrespective of their differing follower counts. This index takes into account the number of interactions, divided by the number of updates created in the selected time period, and then again divided by the page’s followers to get to a normalized number. This allows for comparison between pages of any size.
Compare engagement between pages broken down by the hour irrespective of their different follower counts. The indey takes into account the amount of interactions, divided by the number of updates created each hour and then divided again by the page’s followers to get to a normalized number. This allows for comparison between smaller and larger pages alike.
Compare engagement between pages broken down by both weekday and hour irrespective of their different follower counts. The index takes into account the number of interactions divided by the number of updates created each day and hour and then divided again by the page’s followers to get a normalized number. This, in turn, allows for comparison between different sized pages.
Compare engagement between pages broken down by the different update types irrespective of their differing follower counts. The index takes into account the number of interactions, divided by the number of updates of each type created in the selected time frame and then divided again by the page’s followers to get to a normalized number.
Compare engagement between pages broken down by weekday irrespective of their differnt follower counts. The index takes into account the number of interactions, divided by the number of updates created each day of the week and then divided again by the page’s followers to get a normalized number. This allows for comparison between smaller and larger pages alike.
Compare the number and percentage of likes and comments on updates per page.
Get an overview of the pages’ key metrics, including Followers, Followers Change Rate, Updates, Interactions & Interaction Rate.
Get an overview of the pages’ key metrics, including Followers, Followers Change, Updates, Likes, Comments, and Interaction Rate.
Compare the total number of interactions that pages’ updates published in the selected time frame earned. This is based on the creation time of the interacted-with update and not the time that the interaction occurred at.
Analyze and compare the total number of updates each page posted during the selected time frame. It’s important to note that we do show deleted updates once they’re in our database.
Analyze and compare the total number of updates created by each account broken down by the hour. It’s important to note that when working with public post data, we do show deleted updates once they’re in our database.
Analyze and compare the total number of updates created in the selected time frame by the selected pages broken down by both weekday and hour. The bigger the bubble, the more updates that were published at that time.
Analyze and compare the total number of updates created by each page broken down by weekday.
View the message and creation time of all the updates created during the measured time period, along with their resulting interactions and I-Rate and the type of update.
Compare the number and percentage of different types of updates per page.
Analyze and compare the total number of updates published during the selected time frame and their I-Rates broken down by weekday and hour. The bigger the bubble, the more updates or the higher Interaction Rate that occurred at that point.
InstagramAnalyze the performance of each account’s posts based on the average comments they earn. This sums up all the comments on all of the posts within the interval and divides it by the number of posts that were posted during the interval.
Analyze the performance of each account’s posts based on the average interactions they earn. This sums all interactions on all the posts within the interval and divides it by the number of posts that were posted during the interval.
Analyze the performance of each account’s posts based on the average interactions they earn. This sums all the interactions on all the posts during the interval and divides it by the number of posts that were posted in the interval.
View correlations between the average Interaction Rate and the number of posts published by the selected accounts. The average Interaction Rate takes into account the number of interactions of each post, divided by the number of the account’s followers on the day that the post was created to get a normalized number.
Get an overview of all the hashtags that were used in posts created in the selected time frame.
Analyze and compare the average engagements per post of each account broken down by weekday.
Compare the proportion of followers in percentages between accounts.
Compare the number and percentages of followers per account relative to one another.
Analyze anc compare the change in total followers between selected pages.
Analyze and compare the average change in total followers between selected accounts broken down by day of the week.
Analyze the relative amount of followers gained or lost per account within the interval- By showing it as a percentage, the values are normalized which allows comparison among accounts of different sizes.
View the development of followers during the last 3, 7, and 30 days in total numbers as well as the change in percentages.
Compare the overall number of followers per account.
Get an overview of all the hashtags that were used in posts created during the selected time period by the selected accounts.
Compare the number and percentage of different image filters used per account. This metric uses a total interval, meaning that we show all images that were posted in the selected time frame.
View how many times content was viewed by users. This is not a unique value, meaning that for example if a person sees the same post by an account twice, they will be counted 2 times.
Compare engagement between accounts irrespective of their differing follower counts. This index takes into account the number of interactions, divided by the number of posts created during the selected time period and then divided again by the account’s followers to get to a normalized number. This allows for comparison between smaller and bigger accounts alike.
Compare engagement between accounts broken down by the hour irrespective of their different follower counts. This index takes into account the number of interactions, divided by the number of posts created each hour and then divided again by the account’s followers to get to a normalized number. This allows for comparison between different sized accounts.
View correlations between the interaction rate and the number of hashtags used in posts published by selected accounts. The interaction rate takes into account the number of interactions, divided by the number of posts created in the selected time frame and then divided again by the account’s average followers to get to a normalized number.
Compare engagement between accounts broken down by images, videos, and carrousels irrespective of their different follower counts. This index takes into account the number of interactions, divided by the number of posts of each type created in the selected time period and then divided again by the account’s followers to get to a normalized number. This allows for comparison between smaller and larger pages alike.
Compare engagement between accounts broken down by both weekday and hour irrespective of their different follower counts. This index takes into account the number of interactions, divided by the number of posts created each day and hour and then divided again by the account’s followers to get to a normalized number, which allows for comparison between different sized accounts.
Compare engagement between accounts broken down by weekday irrespective of their follower counts. This index takes into account the number of interactions, divided by the number of posts created each day of the week and then divided again by the account’s followers to get to a normalized number.
Compare the number and percentage of different post interactions per account.
Get an overview of the accounts’ key metrics, including Followers, Followers Change Rate, Images, Videos, Carousels, Posts, Likes, Comments & Interaction Rate.
Get an overview of the accounts’ posts key metrics including Total Posts, Likes, Comments Saves, Impressions & Reach.
Compare the number and percentage of average organic engagements per post type per account.
Analyze and compare the total engagements and impressions on posts published during the selected time frame broken down by both weekday and hour. The bigger the bubble, the more impressions or engagements that were earned.
Compare post reach between accounts broken down by the different post types.
Analyze and compare the organic reach per post of each account broken down by weekday.
Analyze and compare the total number of posts each account posted during the selected time frame. Please note that we do show deleted posts once they’re in our database.
Analyze and compare the total number of posts created by each account broken down by the hour. Note when working with public data we do show deleted posts once they’re in our database.
Analyze and compare the total number of posts created in the selected time frame by the selected accounts broken down by both weekday and hour. The bigger the bubble, the more posts that were published at that exact point.
Analyze and compare the total number of posts created by each account broken down by weekday. Note that when working with public post data we do show deleted posts once they’re in our database.
View the message and creation time of all the posts created in the selected time frame, along with their resulting engagements (likes, comments, and saves), impressions and reach, as well as a post type. Unlike public data, Insights data is live data, meaning that if a post is deleted then it will no longer be shown in the metric.
Compare the number and percentage of images, video and carousel posts per account. This metric uses a total interval, meaning we show all posts that were posted during the selected time frame.
Analyze and compare the total number of posts published in the selected time frame and their I-Rates broken down by both weekday and hour. The bigger the bubble, the more posts or the higher interaction Rate that occurred at that time.
View how much content was reached by users. This metric counts unique users, meaning for example if a person sees the same post twice or even 2 different posts by the same account during the selected time frame, the user would only be counted once.
Compare the total number of Impressions, Exits, Reach and Replies of all stories over time per page and day of creation.
Get an overview of the accounts’ key metrics, including Followers, Followers Change, Images, Videos, Carousels, Posts, Likes, Comments & Interaction Rate.
View the caption and creation time of all the stories that are currently active in the selected accounts, along with their resulting impressions, reach, replies, exits, taps forward & taps back.
Compare the total number of Forward and Back Taps of all stories over time per page and day of creation.
Compare the number and percentage of different types of stories per account. Instagram Stories data does not rely on the date selector. This metric will include all currently active stories of the selected accounts. Stories are live for 24 hours and once they expire, they’ll no longer be included in this metric.
Compare the total number of interactions that accounts’ posts published in the selected time frame earned. This is based on the creation time of the interacted-with post and not the time the interaction occurred at.
Compare the number and percentage of different video filters used per account. This metric uses a total interval, meaning that we show all the videos which were posted in the selected time frame.
View the message and creation time of all the videos posted in the selected time frame, along with their resulting view counts, engagement, impressions, and videos views count in relation to their number of impressions.
Cross-networkView the message and creation time of all the posts across Facebook, Twitter, LinkedIn, and Instagram created in the selected time frame, along with their resulting interactions and I-Rate.
Compare the average number of interactions per post between networks irrespective of their different audience sizes. This index takes into account the number of interactions, divided by the number of posts created in the selected time frame. This allows for comparison between smaller and larger pages alike.
See a list of profiles followed by the account along with their network and a link to them.
Get an overview of the networks’ average key metrics, including Audience Change, Posted Content, Interactions, Interactions per Posted Content and Interaction Rate.
Compare the overall size of each audience’s network.
Analyze and compare the change in audience size between networks.
Analyze the relative audience gained or lost per network within the interval. By showing it in percentages, the values are normalized which allows for comparison among networks of different sizes.
Compare the number and percentage of audience per network relative to one another.
Compare engagement between networks irrespective of their different audience sizes. This index takes into account the number of interactions, divided by the number of posts created in the selected time frame and then again divided by the network’s average audience size to get to a normalized number. This then allows for a comparison between smaller and larger networks alike.
Analyze and compare the total amount of content each network posted during the selected time frame.
Compare the network profiles’ Audience Change, Posted Content, Total Interactions/Posted Content.
We hope you found this overview helpful! Get in touch with us Facebook, Instagram or Twitter if you have any questions regarding our metrics.
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