Authorization is performed using a social media profile. To authorize, click the button with the logo of the desired network. A pop-up window will appear for you to confirm permission for the tool. Once confirmed, the window will automatically close and the authorization process will be complete. The activated (dark-colored) button of the social network with a cross in the upper right corner indicates your authorization status.

If permission for the tool was previously granted, authorization will be completed instantly without any additional confirmation.

Chrome-based browsers may block the pop-up window during authentication via Twitter. In this case, you must allow pop-ups for the Popsters tool and repeat the authorization sequence by clicking on the red cross icon in the browser’s address bar.

To log out of your account in the tool, click the cross in the upper right corner of the social network button. This action will reset your authorization in the tool.

If you wish to log in as a new user but are automatically authorized as an existing user upon clicking the button, you must log out first. Then, log in to the correct social media profile before authorizing in the tool. By default, social networks prompt you to use a profile that you have previously used to access other sites and tools. This may occur if the social network uses an already linked account for third-party applications.

You can view information about your subscription plan and user account by opening the user panel (accessible via the button in the upper right corner).

In the user panel, you will find the profile name, current plan, validity period, number of analyses conducted, and subscription status.

There are three paid full-scale plans and one trial plan, the latter of which has certain restrictions.

The full-scale plans differ not in functionality but in the duration for which the license is valid. The Monthly plan provides access for 30 calendar days. The Half-year plan offers access for 180 days and includes a discount, which is specified in the Pricing section. The Special plan is more flexible, allowing you to manually select and specify any operational period of up to 24 months. As the number of months purchased increases, the percentage of the discount also rises.

Access to the full plans is linked to the social media profiles that you have selected. The total cost will vary depending on the number of added social media accounts. Full access for analysis is provided only for those social networks for which payment has been made.

Similarly, the trial plan is valid for each profile individually. Therefore, when authorizing and working across multiple social networks, there are specific limitations for each account. Manual activation of the trial plan is not required; it is activated automatically when you attempt your first analysis. For example, if a user authorizes both Instagram and Facebook for the first time, they will not receive full access immediately. After the first attempt to analyze something on Instagram, the trial plan for that profile is activated, while the Facebook account remains inactive. If you then attempt to load data on Facebook (or on both networks), the second account will be activated. Each account will have its own separate count towards the limited trial plan based on the network being analyzed.

Each plan includes a ‘Choose Account’ block that displays all the profiles you have activated for the tool. To purchase full access to a specific network (or multiple networks), you need to select the necessary account(s) and then proceed to payment. If the required account is not listed, you must log in to the necessary network on the main page of the tool and then return to the ‘Pricing’ section.

Full access to the tool is unlimited in terms of the number of analyses you can perform and the number of reports you can export.

With full access, you can analyze any public page on social media.

After authorization, the search bar located in the upper left corner becomes accessible. To analyze a page or hashtag, you need to locate the desired page using the tool and select it for analysis.

The search function operates in two modes: page search and post search.

By default, the search bar is set to page search mode. To find a page for analysis, simply enter the link to the page and click the ‘Search’ button. When using link search, you can add up to 10 communities at once, provided they are imported from a document or database. Importing multiple communities will work only if their addresses in the source document are split into separate lines, meaning they are separated by ‘line break’ characters.

To search by name, type the desired text into the search bar and press the ‘Search’ button. As a result, a panel with a list of communities will appear. If you are authorized in multiple social networks, the icons of those networks will appear above the search results, allowing you to switch between the search results from different platforms. For example, you can add a community from Telegram for analysis, then switch to the Facebook tab and add a few pages from there. In this case, the analysis will be conducted across several social media platforms simultaneously.

Hashtag search is available only on certain social networks, such as VK and YouTube. Additionally, for some social media platforms, searches can be conducted not only by hashtags but also by text.

To search exclusively for hashtags, you must precede the keyword with a # symbol. In other cases, the full text will be searched for the specified word.

The ‘Analyze’ button initiates the analysis of the selected pages or hashtags. By default, the analysis covers a one-month period. The calendar icon (located next to the ‘Load’ button) allows you to select a specific timeframe, ensuring that only the records from that period are analyzed.

After each analysis, a block displaying the loaded communities appears to the right of the feed, showing the overall statistics for the analyzed period. This block presents totals for all main interactions: likes, shares, comment counts, published posts, views (for YouTube, VK, and Telegram), as well as the average Engagement Rate per post (ERpost) and Engagement Rate per day (ERday) for all loaded posts.

Next to each page in the block, there are three functional buttons: “Show/Hide” – which toggles the visibility of the community in the feed and graphs; “Clear” – which deletes all analyzed data for that page and clears the memory; and “Export” – which exports all loaded posts from that page to an Excel file.

With each new analysis performed, previously loaded communities are automatically hidden from the feed, and their totals are reset (as they only display data for posts currently in the feed). When you click the ‘Show’ button for the previously loaded page, all posts will reappear in the feed and graphs, along with their total metrics displayed.

The tool can be used to filter posts in the feed by type with the ability to sort or add some other filters in the future.

When any of the filters are enabled, the total values in the “Loaded pages” block will be automatically recalculated based on the posts that remain in the feed.

Each filter operates in three modes: enabled, disabled, and excluded. By default, filters are disabled, meaning publications are not filtered. In enabled mode, only posts containing the content of interest (such as photos, links, videos, etc.) will be displayed. In excluded mode, all posts will remain except for the selected format.

Different filters can be combined with one another. For example, photos of interest can be filtered in, while text can be excluded. In this case, only posts consisting of images without accompanying text will remain in the feed.

Corporate profiles allow multiple users to access the tool simultaneously. This feature is ideal for advertising agencies and companies that need several employees to work on the same social networks at once.

Access is granted to a specific email profile, with the option to specify the number of social media accounts required for work, the duration of the subscription, and the number of users for each social media platform. After payment, the plan is assigned to the email address, and the owner can distribute paid access slots to the relevant employee profiles on the respective social media platforms.

To register an account, you must open the user panel (the button appears in the upper right corner after you log in to the tool on any social media platform) and select the ‘Corporate Profile’ section. In the “Registration” tab, you must enter your email address and password. After that, an email containing a confirmation link will be sent to you. Authorization will only be available after you have confirmed your email address.

Corporate plans are available in a special section of the ‘Pricing’ page. There is a link on the right of the main Pricing Plans section. On this page, you can select the required social networks, specify the number of months, and the number of users for each social media platform. Discounts are calculated in the same way as for personal plans, but with additional deductions: the discount increases when access is purchased for a larger number of users and social media platforms.

After obtaining access, data about the access slots acquired for each social network will appear on the corporate profile management page. The accounts attached to the corporate profile are displayed at the bottom of the window. Initially, this section is empty, and the specified social media users must be added.

To add a profile of a social media user to a corporate account, the owner (manager) of the corporate profile must to give the email address and a special secure code to the employee. The code is given in the special window in the ‘Join a corporate account’ section.

To attach a social media user profile to a corporate account, you need to copy the link (located at the top of the Corporate Account settings) and send it to the intended users. They will need to follow the link and click the “Attach” button in the window that opens for all the necessary profiles.

You can connect the corresponding slot to the associated user profile by clicking the “Give Access” button. At this stage, the user can already use the tool without restrictions from the linked profile. The owner of the corporate account has the flexibility to grant access to any profile or revoke this access and transfer it to another profile. Please note that you can transfer access from one profile to another within the same paid slot no more than once every two weeks.

If you have a user profile on a social network with paid access rights, the corporate slot will replace the active plan. Deleting the user from a corporate slot will revert the user to their previous plan. The durations of the corporate and basic plans do not combine. When reverting to the basic plan, the expiration date is set according to the most recently purchased plan.

The metrics provided in Popsters, such as Engagement Rate (ER), Views Rate (VR), Talk Rate (TR), Love Rate (LR), total and average values, and any others, excluding count of video views, likes and comments count, are proprietary metrics developed by Popsters. These metrics are calculated independently using our proprietary algorithms and are not directly derived from YouTube data. As a result, they are exclusive to the Popsters tool and are not part of the official YouTube platform.

Count of video views, likes, dislikes, comments, and video text are provided by the YouTube Data API and are presented “as is” without any modifications. These data points are directly sourced from YouTube and reflect the information available through the API. Please note that Popsters does not alter or manipulate these metrics in any way. We strive to provide accurate and unadulterated data to our users, ensuring transparency and reliability in our analytics.

Engagement Rate is a metric that shows how much followers were engaged to the published posts. In other words, it displays the percentage of followers who have been active in publications.

The tool calculates six types of ER: ERpost is the user engagement rate for a particular post, ERday is the user engagement rate for all published posts per day, ERview is the engagement rate for a particular post in terms of the number of views (for VK, YouTube, Coub and Flickr). Average ERpost is the average of ERpost for all posts for the analyzed period. Average ERview is the average of the ERview for all posts, Average ERday is the average of ERday for all posts for analyzed period.

ER is calculated using the following formulas:

ERpost = (likes+shares+comments[+dislikes for YouTube])/count of followers * 100%

ERview = (likes+shares+comments[+dislikes for YouTube])/count of views * 100%

ERday= (total likes + total shares + total comments for the day[+total dislikes for YouTube])/count of followers * 100%

Average ERpost = (total likes for analyzed period + total shares for analyzed period + total comments for analyzed period[+total dislikes for analyzed period for YouTube])/count of followers/count of posts for analyzed period * 100%

Average ERview = (total ERview of all posts for analyzed period)/count of posts for analyzed period * 100%

Average ERday = (total likes for analyzed period + total shares for analyzed period + total comments for analyzed period[+total dislikes for analyzed period for YouTube])/count of followers/number of days in analyzed period * 100%

In general, ERpost allows you to measure the efficiency of posts and shows how interesting they are to your followers. ERday only shows engagement on a daily basis and it should be treated more like ‘effective reach’ stat as it displays the percentage of the audience engaged on a particular day. The tool shows ER in several different places. Average values for ERpost and ERday are given in the loaded pages block and in the comparison table. ERpost for a particular post is given in the information about this publication. Daily graphs show ERday for each period. There is also average ERpost for a particular type of post on stats for this type of post.

Calculating ERday, the days are counted based on of the first and last post in the period. This is done so the data reflect actual development: for example, if a community has been posting only in the last month of its 3-year existence, the data will be used only for this last month.

The ER indicators in the loaded pages block recalculate when any filtering is turned on, displaying the average ER only for those posts that remained in the feed.

Love Rate (LR) is a metric that measures the attractiveness of posts. It is similar to Engagement Rate (ER) but focuses solely on the number of likes. This metric helps you assess how appealing your posts are to your audience.

LR is calculated using the following formula:

LR = (total likes)/followers/count of posts for the analyzed period * 100%

The tool calculates LR for each analyzed page and is located in the summary table (the ‘Show table’ button under the loaded pages block )

Talk Rate is a metric that measures sociability. Similar to Engagement Rate (ER), it focuses solely on the number of comments. This metric provides insights into how engaged your audience is in communication.

TR is calculated using the following formula:

TR = (total comments)/followers/count of posts for the analyzed period * 100%

The tool calculates TR for each analyzed page and is located in the summary table (the ‘Show table’ button under the loaded pages block ). Both the LR and TR indicators will help evaluate and measure some activity when planning the community’s strategy.

With each performed analysis, the tool automatically summarizes all the indicators:

The total count of likes, shares, comments, views and dislikes from all analyzed posts.

The data is displayed in the loaded pages block and in the comparison table.

Visibility Rate (VR) — visibility coefficient. This indicator shows how many people in relation to the total number of subscribers have seen the publication(s).

The Visibility Rate for a publication is calculated using the following formula:

VR = sum of views/number of subscribers * 100%

Average VRpost = sum of views/number of subscribers/number of publications for the analyzed period * 100%

Average VRday = sum of views/number of subscribers/number of days in the analyzed period * 100%

VR is calculated only when analyzing social networks that provide a view count, such as VKontakte, Telegram, and YouTube.

The chart shows the relative activity of an average post that have been published on a particular day of the week. This chart doesn’t display the count of published posts by days of the week. In reality, it shows the average activity of posts that were published on different days of the week, comparing to the post made on other days. Data is given in percent (%) using information for the whole analyzed period.

To calculate the relative activity by the days of the week, the tool takes into all posts published on a particular day of the week, sums up all the activities for each day, then calculates the average count of engagement on these days and calculates their relative percentage.

For example, if Mondays index is 15%, and for Wednesday it is 10%, an average post appearing on Monday was 1.5 times more popular than one published on Wednesday.

This index can be used for planning the best day for publishing of your posts / advertisements.

The chart shows the relative activity of the average post published in a particular moment. This chart doesn’t display the number of published posts by time, but shows instead the average activity of posts that are issued at different hours of the day, comparing to posts that were released at another time.

Data is calculated in percent (%) based on all information for the analyzed period.

To calculate the relative activity by time of day, the tool takes into all posts that have been published at particular time, sums up all the activities for each hour, calculates the average number of engagements at that time and calculates their relative percent.

For example, if the index is 3,5% at 4 pm, and it is 7% at 9 pm, an average post at 9 pm is more than 2 times more popular than one published at 4 pm.

This index can be used for planning the best time for publishing of your posts / advertisements.

The behavior of the audience at different hours of the day and the days of the week differs: for example, a student on weekdays can be busy studying and will not be able to read a long text, but he may be interested in short posts, and on weekends an opposite situation may be observed.

This chart displays the average ERpost for posts that have been published with text of a particular length on different days of the week.

To calculate such data, Popsters categorizes all posts into three types: posts with short text (up to 160 symbols), posts with medium-size texts (from 160 to 1000 symbols), posts with long text (from 1000 symbols). Next, the tool calculates the average ERpost of all posts published on a given day of the week.

Each values ??column can consist of three segments, corresponding to three types of text length.

The chart will help to determine what format of publication on average has gained the most activity in these days of the week.

This chart displays the average ERpost for posts that have been published with a text of a particular length at different times of the day.

To calculate such data, Popsters categorized all posts into three types: posts with short text (up to 160 symbols), posts with medium-size texts (from 160 to 1000 symbols), posts with long text (from 1000 symbols). Next, the tool calculates the average ERpost of all posts published on a given day of the week.

Each values ??column can consist of three segments, corresponding to three types of text length.

The chart will help to determine what format of the posts on average was the most popular at different times of the day.

The chart is similar to ‘ERpost by days of week/Text length’, but it uses percentages in relation to other formats on different days of the week instead of ERpost statistics.

It will be useful in cases when ERpost differs for multiple communities when comparing several pages. It is also applicable when searching and analyzing hashtags from social networks (search for all the hashtags in the networks of interest).

The chart is similar to ‘ERpost by Time of Day/Text Length’, but the final values use percentages in relation to other formats at different times of day instead of ERpost metrics.

It will be useful in cases when ERpost differs for multiple communities when comparing several pages. It is also applicable when searching and analyzing hashtags from social media’s (search for all the hashtags in the social media of interest).

The chart displays the total count of ‘likes’ for all posts publushed on each day in the analyzed period.

The chart can be scaled, it can also be filtered by any value (by clicking on a point on any day): in this case, only the posts for that day will remain in the feed.

When counting ‘likes’, all reactions of the audience in the social networks Facebook and Telegram are considered.

It is useful when the total ‘like’ statistics for a community must be evaluated.

The chart displays the total count of ‘shares’ for all posts published on each day in the analyzed period.

The chart can be scaled, it can also be filtered by any value (by clicking on a point on any date), in this case, only the posts for that day will remain in the feed.

This chart appears only for those social media’s where it is possible to share a post in the user’s feed (not available, for example, for Instagram and YouTube).

It is useful in cases when you want to evaluate the general statistics of the page for reposts in the analyzed period.

The chart displays the total count of comments for all posts published for each day in the analyzed period.

The chart can be scaled, it can also be filtered by any value (by clicking on a point on any date), in this case, only the posts for that day will remain in the feed.

Comments are counted only for those social media’s where commenting is possible (comments are disabled on Twitter).

It is useful when you need to measure the total statistics of comments in a page for the analyzed period.

The chart shows the total count of views for all posts that appeared on each day in the analyzed period.

The chart can be scaled, it can also be filtered by any value (by clicking on a point on any date), in this case, only the posts for that day will remain in the feed.

Views are only given for those social media’s where they are counted: YouTube, Telegram and VK.

It is useful when you need to evaluate the total statistics of views in a community for a certain period.

The chart displays the total ER (ERday for each date) for all posts published on each day in the analyzed period.

The chart can be scaled, it can also be filtered by any value (by clicking on a point on any date), in this case, only the posts for that day will remain in the feed.

When counting ‘likes’, all reactions of the audience in Facebook and Telegram are considered.

It is useful when you need to evaluate the size of engagement audience for each date in analyzed period.

The chart shows the number of posts published on each date in the analyzed period.

The chart can be scaled, it can also be filtered by any value (by clicking on a point on any date), in this case, only the posts for that day will remain in the feed.

It is useful when you need to evaluate the count of posts in a page for an analyzed period.

Displays the total number of posts with texts of a certain length that have been published in the analyzed period.

To calculate such data, Popsters categorizes all posts into three types: posts with short text (up to 160 symbols), posts with medium-size texts (from 160 to 1000 symbols), posts with long text (from 1000 symbols).

Demonstrates the average ER (engagement) in posts with text of a particular length in general.

To calculate such data, Popsters categorizes all posts into three types: posts with short text (up to 160 symbols), posts with medium-size texts (from 160 to 1000 symbols), posts with long text (from 1000 symbols). Next, the tool calculates ERpost for every post and gives the average ERpost for them.

It is useful to understand the most popular format of posts.

Displays the total number of posts with a particular type of content. Different types of attachments (photo and video, for example) in one post are considered here as different units.

It shows the total number of posts with videos, images, links or text.

It allows you to calculate count of published records for different types of content.

It demonstrates the average ER (engagement) of posts with a particular type of content. It helps to understand the kind of posts that are more attractive for the audience.

The chart is similar to ‘ERpost by type of content’ but the percentage of activity to other posts is shown instead of ERpost indexes.

It is useful if ERpost for multiple pages is radically different. It can also be used for searching and analyzing hashtags or searching all instances when a particular hashtag was used.

It demonstrates the count of posts with a particular hashtag for all analyzed posts.

It will help calculate the statistics of using certain hashtags in posts.

It shows the average ERpost of all posts with a particular hashtag.

It will help to evaluate the activity of posts in response to a particular hashtag. It is useful for calculating the efficient of the ad tags, chosen categories or competitive analysis.

Shows the activity of an average publication with a particular hashtag in relation to posts with other hashtags.

It is useful if ERpost for multiple communities is radically different. It can also be used for searching and analyzing hashtags or searching all instances when a particular hashtag was used.

Shows the number of posts that use certain words.

The tool looks through the text of each publication and counts the most commonly used words.

It will help you to learn the vocabulary used, its frequency, and it also determines the topics used in the content if hashtag are not used to tag the posts.

Shows the average ERpost of posts containing a particular word.

The tool calculates the average efficiency (by ERpost) of posts where a particular word was used.

It help assess the impact of using different topics on the popularity of posts.

The chart displays the total VR (VRday for each date) for all posts published on each date within the analyzed period.

The chart can be scaled, and filtering can be applied to any value (by clicking on a point for any date): in this case, only the posts from that day will remain in the feed.

It shows the average VRpost of posts containing a specific word.

The tool calculates the average visibility metric (by VRpost) of publications that mention a specific word.

This will help assess the impact of using different themes on the visibility of publications.

It shows the average VRpost of all publications with a specific hashtag.

This will help assess the visibility of posts that include a specific hashtag. It will be useful for evaluating the effectiveness of categorization, selected themes, or competitive analysis.

This chart displays the average VRpost of publications that were released with text of varying lengths on different days of the week.

To calculate this data, Popsters categorizes all posts into three types: short text posts (up to 160 characters), medium-length text posts (from 160 to 1000 characters), and long text posts (over 1000 characters). The tool then calculates the arithmetic mean of the VRpost for all publications released on each day of the week.

Each bar in the chart can consist of three segments, corresponding to the three types of text length.

The diagram will help determine which format of publication was viewed the most on average on those days of the week.

This chart displays the average VRpost of publications that were released with text of varying lengths at different times of the day.

To calculate this data, Popsters categorizes all posts into three types: short text posts (up to 160 characters), medium-length text posts (from 160 to 1000 characters), and long text posts (over 1000 characters). The tool then calculates the arithmetic mean of the VRpost for all publications released at different times of the day.

Each bar in the chart can consist of three segments, corresponding to the three types of text length.

The diagram will help determine which format of publication was viewed the most on average at different times of the day.

This shows the average VR (visibility) of publications with text of varying lengths overall.

To calculate this data, Popsters categorizes all posts into three types: short text posts (up to 160 characters), medium-length text posts (from 160 to 1000 characters), and long text posts (over 1000 characters). The VRpost of each published post is then taken into account, and the arithmetic mean is calculated.

This will help understand which format of posts is viewed more overall.

The diagram is similar to “ERpost by text length,” but in the final values, it uses the percentage of engagement relative to posts containing other content instead of ERpost metrics.

This will be useful in cases where the ERpost of different communities differs significantly when comparing several pages.

This shows the average VR (visibility) of publications with different types of content. It will help understand which types of content in posts overall attract more audience attention and how effective publications with links (potentially promotional) are.

The tool does not store analyzed publications on its server. All retrieved data is stored in the browser’s temporary memory and is cleared immediately upon page refresh. This approach helps prevent additional server load and allows us to keep our plans unlimited.

Unfortunately, this is not possible with the current tool. Popsters analyzes only posts and does not continuously track metrics. Implementing such a feature would necessitate a pricing model based on each analyzed page rather than the entire social network as it operates now.

The tool obtains data from social networks through this authorization method. This functionality enables the analysis of closed pages on platforms like VKontakte and Odnoklassniki, where possible, as well as access to regional data on Facebook using the same display parameters set within the network itself.

Our tool offers unlimited tariffs, and email authorization would restrict our ability to provide unrestricted analytical capabilities.

Moreover, in many cases, social media authorization is more convenient, requiring only a single click on the social network icon.

Since all data is analyzed and collected directly in the browser, performance limitations may arise when handling a larger number of pages.

You can analyze more than 10 pages sequentially; however, it’s not possible to display them simultaneously in the feed and on the graphs.

Paid access does not simply disappear. If you encounter any issues, there are two possible reasons:?

1. You may have accidentally paid for access to the wrong social network. You can check this by reviewing the receipt sent to your email (if you provided one during payment) or by accessing the user panel, where all authorized profiles and active access will be listed. If this is the case, please reach out to our technical support email with the details of the payment and the desired transfer of access, and we will assist you.?

2. Access might have been paid for a different profile on the social network. This can occur if you initially paid for access and later logged in with a different profile. In this situation, please contact our support email with the exact date and time of your payment (or attach the receipt), and we will help you identify which profile has active access.

Analysis of pages within the tool is only possible after authorization through social network accounts. Popsters utilizes OAuth 2.0 authorization for all networks except Telegram. This protocol ensures a completely secure authorization process, as it does not transmit sensitive information such as email addresses or passwords to the tool. The tool only receives the necessary permissions required for its functionality, effectively eliminating the risk of hacking or unauthorized access.

For Telegram, authorization is conducted using a unique code, similar to the process in the messenger itself. This code is valid for one-time use only for authorizing in the tool and cannot be utilized in other applications or contexts.