I tracked US amazon anime releases from one week before the first release date (Tuesday) of the month to one week after, from March of 2014 to September of 2017. I’m leaving the data here so that people can more easily browse it if they so desire. It seems to be somewhat useful in predicting what has a chance of actually making the US Blu-Ray charts, though it was difficult to nail down what exactly a given rank is worth. I didn’t necessarily track all releases, just those that are on amazon and show up under the anime/coming soon labels when I checked them at the beginning of each month.
Note: There are several releases I have tracked and subsequently seen chart: Dragon Ball Z Season 3 on BD (7472 copies in week 1), Attack on Titan Part 1 (BD/DVD combo pack, 11,748 copies in week 1), Attack on Titan Part 2 (10,677 copies in week 1), One Piece Film Z (6199 copies in week 1 on both BD/DVD combo and DVD-only editions), Dragon Ball Z: Battle of Gods (86,735 copies in week 1, 162,228 over 4 weeks). I also have data for various movies (which came out earlier than I started tracking) and data which suggests that ranking 120,000th place or worse in a given day corresponds to a title selling zero copies on amazon.
Here is my best formula for calculating what a rank is worth:
#10k-#40k: S=10-(R-10000)*(9/30000)
#2k-#10k: S=30-(R-2000)*(20/8000)
#1k-#2k: S=70-(R-1000)*(40/1000)
#500-#1k: S=220-(R-500)*(150/500)
#200-#500: S=250-(R-200)*(30/300)
#150-#200: S=800-(R-150)*(550/50)
#100-#150: S=1000-(R-100)*(200/50)
#50-#100: S=1300-(R-50)*(300/50)
#40-#50: S=1900-(R-40)*(600/10)
Note 2: The Initial Data pages are blog posts containing the full titles and links to the relevant items on amazon. The Final Results pages are google spreadsheets that use abbreviated versions of the release titles.
Note 3: Due to personal circumstances, I was unable to access the internet regularly between May 25 and June 8, 2015, so data between those dates is very incomplete. I apologize very much for any inconvenience this causes, and am looking into ways to automate the system. Similar circumstances affect the datasets for September/October 2016.
Feel free to ask if you have any questions!
03-2014: Initial Data – Final Results
04-2014: Initial Data – Final Results
05-2014: Initial Data – Final Results
06-2014: Initial Data – Final Results
07-2014: Initial Data – Final Results
08-2014: Initial Data – Final Results
09-2014: Initial Data – Final Results
10-2014: Initial Data – Final Results
11-2014: Initial Data – Final Results
12-2014: Initial Data – Final Results
01-2015: Initial Data – Final Results
02-2015: Initial Data – Final Results
03-2015: Initial Data – Final Results
04-2015: Initial Data – Final Results
05-2015*: Initial Data – Final Results
06-2015*: Initial Data – Final Results
07-2015: Initial Data – Final Results
08-2015: Initial Data – Final Results
09-2015: Initial Data – Final Results
10-2015: Initial Data – Final Results
11-2015: Initial Data – Final Results
12-2015: Initial Data – Final Results
01-2016: Initial Data – Final Results
02-2016: Initial Data – Final Results
03-2016: Initial Data – Final Results
04-2016: Initial Data – Final Results
05-2016: Initial Data – Final Results
06-2016: Initial Data – Final Results
07-2016: Initial Data – Final Results
08-2016: Initial Data – Final Results
09-2016*: Initial Data – Final Results
10-2016*: Initial Data – Final Results
11-2016: Initial Data – Final Results
12-2016: Initial Data – Final Results
01-2017: Initial Data – Final Results
02-2017: Initial Data – Final Results
03-2017: Initial Data – Final Results
04-2017: Initial Data – Final Results
05-2017: Initial Data – Final Results
06-2017: Initial Data – Final Results
07-2017: Initial Data – Final Results
08-2017: Initial Data – Final Results
09-2017: Initial Date – Final Results
And that’s a wrap!
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Hi! This is really cool 🙂 I was wondering where/how you get your data
More or less meticulous gathering of available info. First, about a week prior to the first releases of a month (which usually happen on a Tuesday), I check the “anime/coming soon labels” (link in the main post) to see what all is coming out. I get together the list of titles, and copy/paste their amazon title, web url, MSRP, and initial rank into a text document really similar to the “Initial Data” posts linked to in the main post. Then I make the post, transfer the relevant info onto a google spreadsheet.
I check each release’s listing once a day to see how the rank is changing, and update the sheet by recording the relevant number. Some days, it’s in the morning, some days, it’s in the afternoon – it varies, but the rank doesn’t seem change too much within one day, typically (unless it’s a release day, for obvious reasons). If I miss a day, which has happened 5 or 6 times this year, I make a note of it on the sheet.
All actual sales data comes via stuff I was able to get from an OpusData free trial account and the public weekly posts on TheNumbers – both sites are operated by Nash Information Services. I don’t know exactly which stores they get their figures from (possibly amazon and who knows who else).
Thanks a bunch ^-^
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