9/10/2023 0 Comments Nielsen videoscan![]() I illustrate the second point using the Quickflix and Rhapsody data, and the first using the Nielsen VideoScan and SoundScan data. Second, compared with heavy users, light users have a disproportionately strong preference for the more popular offerings, while both groups appreciate hit products more than they like those in the tail. First, the tail is long but extremely flat–and, as online retailers expand their assortments, increasingly so. However, I argue the data reveal two other important patterns. I agree with that assessment, and have not claimed the opposite. radio station plays in a given year, and when translated into album terms, equal to the entire music inventory of a typical Wal-Mart store.īased on the Rhapsody and Quickflix data, Anderson again makes the argument that online markets exhibit a long tail. One percent of a million is still 10,000 – far more than the number of titles a U.S. Pause for a moment, though, to reflect on those numbers. The top 10% of titles accounted for 78% of all plays, and the top 1% of titles for 32% of all plays. Astute readers will have noticed that this is exactly the position I advocate in my discussion of the customer transactions data for Rhapsody, when I state: In his response, “ Debating the Long Tail,” Chris Anderson certainly makes a valid point about the need to look at the long-tail phenomenon both in a relative and an absolute sense. Chris Anderson, “Debating the Long Tail”.Anita Elberse, “Should You Invest in the Long Tail?“.
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