I think this metric is a unique way to gauge long-term engagement among users. Retweets can be likened to quick, instinctive reactions to content, but I think there is value in also providing users with measures that indicate more deliberative reactions (a good way to delineate these user behaviours can be best explained through 'System 1' vs 'System 2' thinking).

For instance, suppose a professor tweets about a recently published academic paper. Whilst retweets provide insight into timely reactions, the academic might want to also keep track of other users who might potentially revisit/avail of their published content in the long-run.

We have built a social media management app that allows our customers to also view insights for their social accounts and posts.

Every midnight we refresh insights for all posts published via our app in the past 7 days.

For Twitter, we're only recording the number of favorites and retweets (returned by the /tweets endpoint), but we would like to gather more metrics, such as impressions, # of replies and video views.

The current rate limit is 15 requests / 15 minutes and 50 Tweets / request.

This basically means we can gather metrics for only 15 customers at a time (up to 50 Tweets per customer), unless we add a 15 minutes wait time between jobs.

This would work if the rate limit was at the user level instead of the app level, similar to elevated POST limit.

I know that the enterprise API is another solution, but we simply cannot afford that at the moment.

We use the Engagement APIs extensively in our product. We currently have to use a combination of the /totals endpoint with the /28hour and /historical endpoints to get "urlclicks." Right now, the new Metrics labs endpoint provides all the great metrics that our customers want in a single endpoint except for "urlclicks."

Without "urlclicks" it would be difficult to transition off of any of the Engagement APIs to a new Tweet Metrics endpoint. If this new endpoint had "urlclicks" we could replace all of our Engagement API usage pretty quickly and have better, more accurate data for our customers.