Understanding: Billboard BB200 vs US Album Sales

Scales

I) Establishing Key Formulas

E) Fixing The Factor

The first four sections of this article are interesting but it still remains obscure. It is so because of one element missing – the factor. We know how the market evolved, we know how sales are scaled over a ranking, we know how to elude traps from the RIAA and from atypical rankings. We don’t know how to convert the scale and the market into a formula factor.

It happens to be fairly easy to set. It requires entering all elements into the sheet and then try various factors until finding the one that fits with RIAA awards for all albums, which means our conversion makes sense. The one that came out is 5,200 for 1973.

For example, we scaled positions 101-200 with 1. It means that in 1973, when 388 million albums were sold, albums charting between 101-200 were averaging 5,200 sales a week. The factor for every year is automatically calculated as per the market evolution as listed below:

14 thoughts on “Understanding: Billboard BB200 vs US Album Sales”

    1. Hi Gus!

      Obviously you are correct, I always think about Kenny G when talking about Michael Bolton and vice versa, don’t ask me why! Now fixed 😉

  1. Hello dear MJD it’s really a very interesting article on RIAA certifications.
    From this article it is evident that some artists such as U2 or Michael Jackson were massively inflated.
    This fact will affect on global sales ? For example the U2 in last year’s article have sold about 192.400.000 equivalent album sales with 12x platinum for The Joshua Tree, 8x platinum for Achtung Baby, 5x platinum for Rattle and Hum and War etc..
    Based on this new article for example their US album sales and their world album sales will be lower ?

    1. Hi Anthony,

      No, it doesn’t impact RIAA certifications. Their awards were achieved thanks to catalog sales and CSPC articles took that into consideration already!

  2. Great job man! Are we getting the 2nd part of your Understanding article about download sales vs. streaming? This is the one I’m most excited about, haha.

  3. Hey MJD,
    You’ve done a lot of work on 90’s and 2000’s artists and I think you should consider looking at Ashanti’s discography. She came out with a strong debut and had hit songs in her time

    1. Hi Luca!

      The factor can be easily calculated for post-1990 years using US Sales Database. I avoided it on purpose for two reasons:
      – Soundscan reflects better ups and downs, runs are much less linear, which corrupts the grouping of positions logic. In the past, a standard run was 152-81-55-38-33-32-33-39-60-121-155-187-out. Now you can have 10-39-101-199-out, which would give a much better result than 11-41-101-out.
      – Internet/pre-orders: they massively frontloaded sales which means now a #1 can sell 30k or 1m. This completely corrupts every possible calculation!

  4. Hi MJD!

    Forgive me for being quite ignorant, but I’ve re-read your article a thousand times, and I still don’t know how you input the Xmas factor in your calculations. I know how to calculate without the Xmas factor, but how do you add in the Xmas factor? Does it depends on which positions it charted during December?

  5. Hi MJD!

    Forgive me for being ignorant, but I still don’t know how you add in the Xmas factor in your calculations. Could you elaborate on how to do that?

    1. Hi Raffi!

      You are two that did this comment (with someone at SHF) so I suppose this part is unclear, I’ll amend the text! In the meantime, here is the answer I made to the other comment:
      The Xmas factor ais roughly the same scale as the chart overall, just slightly lower. Here is the weight you should give to an album depending on its average ranking in December:
      At #1 = weight 15 to 20 (depending on how big it was / how long it remained at 1)
      Charting 2-5 = weight 12
      Charting 6-10 = weight 8
      Charting 11-20 = weight 6
      Charting 21-40 = weight 4
      Charting 41-100 =weight 2
      Charting 101-200 = weight 1

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