Facelift Data Studio: Product news

Major update to Twitter private metrics - quintly - Product changes

Written by Hubert Grzesiek | Dec 9, 2020 11:00:00 PM

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.

Data

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

Metrics

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.