I'd like to gather some ideas:
Imagine a website with frequently added new content (e.g. content pages, or download items). Added content typically persists over a long period. Some content is used quite frequently, other content is a long tail.
I'm thinking about creating a report that shows "recently trending" content (i.e. dimension items). "Recently" would need to be defined as a period. "Trending" content could be
How would you do that?
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@JoernFa Firstly, it is worth identifying metric (s) that will help you measure performance over time. Assuming the trend analysis is based on traffic volume, i.e, page visits. In this scenario, I will consider creating a report that captures time over time comparison.
Attached is an example of how I have setup something similar
I wonder if you could create a dimension that tracks something like "days since added"....
So let's say that content was posted on Aug 1
On Aug 1, the value would be 0
On Aug 2, the value would be 1
On Aug 3, the value would be 2
...
On Aug 21, the value would be 20
etc.
Then you could use a classification to group items by this "days since added" value, as in, items between 1 and 3 are "new", and 8 - X is "recent", X+1 - Y" is "aging", "Y+1 and over" is "old"
Using your interaction metric with this recency dimension would allow you to see interactions by "new" or "old" content as a whole.
If you notice a growing trend of "old content" getting more and more accessed, you can break it down by the actual content identifiers to see if specific items are driving the traffic, or if it's distributed.
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