New: Visualization filters

As our default metrics section, "Discover", continues to grow, reaching over 650 metrics across multiple networks and use cases, we have added another way to filter them quickly. You can now refine your results by using a visualization filter.

 Visualization filters 

Where to find it?

Navigate to the discover section, select "metrics", and choose which visualization type you are interested in in the filter sidebar. We currently support Table, Line chart, Bar chart, Column chart, Big number, Gauge chart, Area chart, Bubble chart, Map chart, Scatter chart, Radar chart, Funnel chart, Pyramid chart, Pie, and Waterfall chart.

You can combine the visualization filter with "social network" and "use case" filters to narrow your searches.

It is worth mentioning that the icons introduced with this update are also used in the "Analytics" section to quickly identify the type of the chart in your "Favorites" or "Top 10" lists.

This improvement should help you quickly identify the right metric for you or even discover a completely new one.

Post detail view now available

We have just added a default post detail view to all of the table-based metrics. You can now view specific post's information within the quintly platform instead of being redirected to the particular network. This addition is important as it creates the foundation for any new changes on the post level. 

 Post Detailed view 

How to view a single post?

To access a particular post, navigate to any table metric and click on "view details". A large popup with post information will show up in the center of the screen. The view will contain a large thumbnail, post details (including likes, shares, and comment counts), and associated tags. It is important to add that you can very quickly tag it on the spot, without the necessity of visiting the Tags section.

Why is this change necessary?

As mentioned initially, we will be in the future releases bringing more post-specific metrics, and we needed to find a better, more robust visual system to represent them. Those could be network/post-type-specific metrics, comments, more advanced information if private metrics. We believe that this is a perfect place to accommodate those upcoming changes. Finally, this update is available for both in-app dashboards and shareable links.

Custom notes now available on the metric level

Thanks to this update, you are now able to create custom notes on a single metric level. It becomes convenient if you share your dashboards with other people.


How to create a custom note

To add a custom note to any metric, head to "Edit Settings" and scroll down to the "Custom notes" section. Type in your message, and click on Apply. 

It is worth mentioning that only basic HTML formatting is supported (i.e., "<p>", "<b>", "<br>", "<i>", "<big>"). 

Once saved, you can view your notes as a tooltip right next to the metric name, as a separate section in the metric detailed view, or in the exported report underneath the metric itself.


We added custom notes on the metric level as a natural evolution of the report's notes, which are available for some time. In this case, instead of focusing on a dashboard level, we have added more granular access to notes. Each metric custom note will be available for shared dashboards, reports, exports, and export links. 

This update will allow you to share information on a more granular and focused level so that your team, managers, or clients don't miss important insights.


Excel and CSV formats added to automated reports


Our customers use automated reports to update the right people within their organization or their clients about ongoing performance, new insights or specific campaigns.

So far, automated reports have been sent by email in PDF format. We have listened to our customers’ feedback and today we are very happy to introduce Excel and CSV formats for automated reports, in addition to PDF. 

This improvement will remove extra steps from our users' workflows, so they can pick up their work right from the data attached to the report email.

To change the format for existing reports, simply go to the related dashboard, click "Manage report" and then change the format from PDF to Excel or CSV.

Automate post tagging


A couple months ago we released post tagging to support the analysis of your campaigns in quintly. So far posts could be tagged manually. Today we are enabling you to automate that process based on simple rules.

To get started, log into quintly, go to Tags > Tag Manager and click into the tag you would like to automate. Click "New rule", then specify what profiles should be considered and when to tag a post based on its publishing time and the words within the post text. You can configure the automation to include any future post by setting the end date to forever.

Once set up, the system will first tag all matching posts from the past and then continuously apply the rule whenever new posts come in or existing ones update.

To have full transparency into when a post got tagged you can find the most recently tagged posts on the tag detail page and when hovering a tag within the Post tags section.

We are excited to have this feature released. Let us know about feedback by reaching out to our support at

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.

🤩 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.

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