Facebook new Pages experience now supported

Facebook has been rolling out the new Pages experience recently, and quintly is now fully compatible with this update.

What is the new Pages experience?

You can read the official article from Facebook here, but in a nutshell, it's a redesigned way on how professional profiles will manage their Facebook pages. There are several changes, including redesign, an updated news feed, and better insights.

What does it mean to you?

From the analytical point of view, the most significant change that this update introduces the transition from Likes to followers and removing the former. To incorporate those changes, we have extended a couple of our data sources.

  1. Facebook - we have added a new column called "followers" beside "fans" to access the followers count. Please note that "fans" are still either the fan count or the follower's count if the page has already switched to the new experience.
  2. Profiles - new column called “hasTransitionedToNewFacebookPageExperience”. This column will serve as a flag when building the metrics, for example, fans or followers count.

The above changes are available, both in-app and via API.

Instagram comments for authenticated accounts

Today we are excited to announce the availability of a new data source holding the comments on posts of your authenticated Instagram accounts. This data set enables completely new insights into the feedback of your users.

What information is available?

With this data source you have access to comments and their replies on posts of your authenticated Instagram accounts.

Instagram supports comment threads to better organize the discussion. Comments nested in a thread below another comment are called replies. Please note that there is no reply to a reply and nesting is limited at the second level. This data source holds both comments (first level) and replies (second level).

You have access to the following information per comment/reply:

  • Publishing time: The date and time this comment/reply was published
  • Post relationship: Identify the post this comment/reply belongs to
  • Comment relationship: If this comment is a reply to another comment, you can identify the comment it belongs to
  • Username: The username of the comment author
  • Account answer: A flag indicating if this comment/reply was made by the author of the post this comment belongs to (helpful for customer care analysis and response time measurement)
  • Text: The text of this comment
  • Mentions: The @mentions within the text
  • Hashtags: The hashtags within the text
  • Hidden: A flag indicating if this comment/reply was hidden by the account owner of the post this comment belongs to
  • Likes: The number of likes this comment/reply got

Please find the complete documentation in our data sources section in quintly.


With this release we have created default metrics for you to start:

You can expect additional default metrics to be available in Discover in the next few days.

Are there any limitations?

As of now this data source includes comments and replies made in an organic context only. Paid context commenting is something we will explore further for a future data source focusing on promoted posts and their comments and replies.

Account owners have several options to moderate the discussion. This includes blocking users from commenting and the ability to delete or hide individual comments and replies. Obviously comments that were deleted will not be returned in this data source. Hidden comments will be listed with the appropriate flag set.

Unveiling LinkedIn short URLs

By default LinkedIn replaces URLs in posts with their own shortened links if the original link exceeds 26 characters. Here is a screenshot of a post on LinkedIn showing a shortened link right before the hashtags are being listed:


To allow for powerful search using our post text filter, we are auto-replacing the LinkedIn short URL with the original URL in quintly:


As a result of this change all URLs - also those longer than 26 characters - will show the original URL in quintly. This allows for powerful filtering using our post text filter.

API endpoint for data source schema


A new API endpoint has been added to return the schema and meta information of our data sources, including detailed descriptions for each column. This endpoint is especially helpful for building integrations into business intelligence software.

🥇 quintly now supports IGTV!

We are happy to announce that quintly has added IGTV to its data source collection. It was especially sought after by a lot of our clients and we are very thrilled to deliver it to you just one day after the official release (as of 16th of March 2021). This update brings both public and private data from IGTV. Let’s dive in 😀.

Data sources

instagramTvPosts - Holding public information about IGTV videos of Instagram Business or Creator Accounts, including interaction rate, comments, likes, and follower counts.

instagramInsightsTvPosts - Holding information about IGTV videos of Instagram Business or Creator Accounts with all their private statistics attached. It includes the above plus reach, engagement, number of times saved, impressions, and more.

Those data sources do not include regular posts (covered extensively by other sets) or Reels (they are not yet available).


As always, we have created some default metrics to get you started. What is important to mention is that no existing metrics are affected by this update, so no review on your side will be required.

This was one of the most requested features/data points by our customers and we are happy to deliver it so quickly (huge thank you to our team 👏👏👏). Happy analyzing!

🤩 Youtube analytics just got super charged!

We are pleased to announce an important update to YouTube metrics. This is the first iteration, focusing on the deep-level metrics on the video level, including a historic development of a single video. The second iteration will soon follow, introducing metrics on the Channel and Playlist level. It is safe to say that thanks to this improvement, we match metrics available on YouTube itself, putting quintly at the forefront of social media analytics tools when it comes to YouTube. Let's dive in.


Working with YouTube analytics on video level always came with caveats. The sheer amount of data that each video contains and the API limitations only allowed us to perform a snapshot analysis (data snap from the time requested). The process also caused occasional timeouts via Youtube API. It was virtually impossible to get data on many videos in a single request due to YouTube’s limitations.

Having all of those challenges on hand, we have decided to completely rethink how we handle the private stats on the video level. We have opted for storing the data in our data layer. This route has completely reshaped how and what kind of data will be accessible to you and at an astonishing speed.


This update has created and updated data sources: 

  • youtubeAnalyticsVideos - private-level aggregated data on videos created within the selected time period.
  • youtubeAnalyticsTopVideos - [UPDATE] private-level data of the top videos within the channel from the selected time period. The update removes any previous limitations of a maximum of 200 videos.
  • youtubeAnalyticsVideosTimeSeries - interval-based private-level data (daily, weekly, monthly) for each video.

Behind each of those, there is a massive volume of organized records that is time-based. Each of those data sources would have different use cases ranging from 10 best performing videos over time to performance of the video for the 30 first days.

What's next

With this update, we have finally closed the gap for historical data for YouTube single videos. There was so much performance work done to handle this sheer amount, so we are confident that our clients will find this in-depth analytics very useful. As mentioned above, the first batch of default metrics has already been delivered, you can find them here and here. The second iteration of this analytics, including Channel and Playlist data, will follow shortly.

We are looking forward to your feedback and your use cases. We are really pleased with this update.

TikTok data now available!

Happy New Year from quintly! We are very excited to announce that Tiktok analytics are now available within our platform! This was one of the biggest requests from you in 2020, so we are happy to deliver it fresh into the new year.

How is Tiktok tracked?
Although Tiktok doesn’t have a public API available to 3rd party users yet, we are able to track public profiles and their posts, as this data is indexable. Once you start tracking a profile on quintly, we will store historic data about that profile starting from this point onwards. Since quintly uses publicly accessible information at the start, you will have access to the 6 latest videos and their information. From this starting point, any new videos will be added respectively, keeping the previously added ones.

What data is tracked?
As mentioned above, quintly tracks indexable data which includes:
- On Profile level: following and followers count, the number of likes and videos. This data is served on a time series basis so you can track changes over time.
- On Posts level: basic information (the thumbnail, link description, and hashtags), length, challenges, and music attached to the video, performance-based (views, likes, comments, and shares) and post tags.

Default metrics
As it is a completely new data source, we have created default metrics. As always, the real power of the metrics would be the use cases that you will create. TikTok is available for post tagging, custom metric builder, and API instantly. This data source sits directly alongside other data from other networks in our data layer, so it can be combined in cross-network reports.

How to get started
Adding a TikTok profile works the same way as any other profile. Paste in a profile URL in the search bar or search for the TikTok account and start tracking it. Since it is publicly available data, there is no need for authentification.

Next steps and precautions
We are very happy to add TikTok to our portfolio of metrics. We are actively monitoring the development of TikTok’s API. Once the API is available, we will implement it. The availability of the public data might change depending on TikTok’s next moves. We will make the necessary adjustments if that happens and since we store your information in our data layer, your historical data will be intact.
We are extremely excited to bring this feature to you, so go ahead and add TikTok to your social media analytics mix!

Major update to Twitter private metrics

With the availability of Twitter's new v2 API endpoints, Twitter has made a lot more metrics available per Tweet. Thanks to this update, Twitter has closed the gap between their native analytics and the data that they pass via API.

We are happy to announce that as soon as this API became available, we have started implementing it and now we can present it to you.

What has changed

This update enriches the private-level stats of Tweets. Please find below the list of changes:

- Most metrics are now available as total, organic, and promoted metrics (e.g. total, organic, and promoted impressions).
- Video View Quartiles, defined as the number of users who played through to each quartile in the video included in a Tweet.
- URL Link Clicks, defined as the number of times a user clicks on a URL link or URL preview card in a Tweet.
- User Profile Clicks, defined as the number of times a user clicks the following portions of a Tweet: display name, user name, profile picture.


Further to the above, we have added more meta information regarding the Tweet, e.g. the length (in milliseconds) of a video attached to a Tweet, or whether a Tweet is a Quoted Tweet or not, mentioned users, hashtags, annotations, links, and the language a Tweet is written in.

This update applies to data sources https://app.quintly.com/data-sources/twitterAnalyticsOwnTweets and https://app.quintly.com/data-sources/twitterAnalyticsOwnReplies


With all of those updates to data sources, we have also updated the related default metrics. Below, you can find a few that already utilize the new Twitter data:

Engagements By Time
Average Tweet Engagements Per Weekday
Engagements over Time
Own Tweets Table
Twitter Analytics Table Own Tweets

Other metrics that use the above-mentioned data sources, will also have the new data sets available.

This is one of the biggest updates to Twitter related data sources in a while and we are proud to bring this data in front of you.

Post tagging now available 🚀

We are thrilled to announce a massive update to our platform: Post Tagging and Additional Filters!

How does it work?

Post Tagging allows you to tag and gather posts that you would like to analyze as a whole. You can easily create tags, tag posts, develop metrics, and dashboards to provide an in-depth analysis of the campaign you are running. A significant thing to mention is that you are not limited to only your posts (or the accounts you manage). You can also tag competitors posts, and later run competitive analysis on the campaign level.

In order to start, navigate to an entirely new section on our sidebar menu called "Tags". There are two options there, "Post tags" and "Tag manager". Tags can be created from both of those sections. They both serve a slightly different purpose. For a quick post-filter and tag, quickly find posts, then "Post tags" is your place. For bulk creation and organization of the tags navigate to "Tag manager".

In the "Post tags" section you can either tag single posts or use our additional filters to bulk tag the posts.

Analyzing your tags

Thanks to this release, the wide spectrum of use cases are covered, including campaign management, A/B testing, and even more advanced competitive benchmarking. The tags functionality, sit directly within the data layer, which means that it is open for the customization via custom metrics. The list of data sources that support post tagging can be found below:

Facebook Post: facebookOwnPosts, facebookInsightsOwnPosts, facebookInsightsExpiredPosts
Facebook Video: facebookInsightsOwnVideos
Instagram Post: instagramOwnPosts, instagramInsightsOwnPosts
Instagram Story: instagramInsigthsStories
Twitter Tweet: twitterOwnTweets, twitterOwnReplies, twitterAnalyticsOwnTweets, twitterAnalyticsOwnReplies
YouTube Video: youtubeVideos, youtubeAnalyticsVideos, youtubeAnalyticsTopVideos
LinkedIn Post: linkedInAnalyticsOwnPosts
Snapchat Show Story: snapchatShowInsightsStories

In order to start analyzing posts by tags, navigate to either "Discover" section and choose predefined metrics or dashboards or enhance already created custom metrics by the new filter layer.

Additional Filters

In addition to Post Tagging we are releasing the Additional Filter feature. This update allows users to select ALL or ANY filters meeting specific criteria. It will filter the content within the posts including hashtags.

Filters on the metric level

Both, Post Tagging and Additional Filters are available on the single metric level. It means that each metric within the dashboard can have its own set of filters based on tags, keywords, dates, and profiles. To create a custom filter on the metric level, navigate to the chosen metric, click "Edit settings", scroll down, select "Select custom additional filters for this metric" and click on the "Filter" button. These filters are independent from the global dashboard settings.

Wrap up

We are very happy with this release. It will allow our customers to utilize quintly in a completely new way. Again, thanks to the way this is built, those updates are available for custom metric building, data-push and API. We are very excited to see how you will utilize these new updates.

Further reading

If you would like to read our official product blog article, please click here.
If you would like to read our step by step support article, please visit our knowledge base. You can always reach out to us via our in app chat or sending an email to support@quintly.com.

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