The Value of Reordering Lists

Two classic problems in sales and marketing are simply applications of reordered lists: ranking sales leads and triaging churn risk.

The most recent post on Locally Optimistic does an interesting reframe on recommender / scoring algorithms, essentially thinking of all such algorithms as "reordering lists". This is an interesting framing in itself, and there are many interesting insights that the post teases out from it. I particularly liked this one:

Merely presenting items in a list may not indicate whether a highly-ranked item is one that has a high likelihood of an outcome (movie you will rank highly; customer who will churn), or one that has a high propensity to benefit from some sort of interaction. These are not the same thing.


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