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Cracking The YouTube Algorithm 2020

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We analyzed the data behind 20,000 YouTube Channels and 200,000 YouTube Videos to see what it told us about the YouTube Algorithm.

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Cracking The YouTube Algorithm 2020

  1. 1. CRACKING YOUTUBE 2020: TOPICS
  2. 2. DID YOU KNOW? 3 • Topics is now live in Chrome Extension vidIQ (right below Tags) • Topics all link to Wikipedia articles related to them (links are even in the YouTube API) • Based on Freebase Topic ID (history of it could be interesting for preso)... reinforced in YouTube API documentation: • 6 “Super Topics” are all freebase topics in “Music”, “Gaming”, “Sports”, “Entertainment”, “Society”, “Other”
  3. 3. SUPER TOPICS 4
  4. 4. SUPER TOPICS: VIEWS 5
  5. 5. SUPER TOPICS: AVD 6
  6. 6. SUPER TOPICS: AVG SUBS OF CHANNEL 7
  7. 7. SUPER TOPICS: AVG. LIKES 8
  8. 8. TOPICS & YOUTUBE 9
  9. 9. TOPICS & YOUTUBE: AVD 10
  10. 10. TOPICS & YOUTUBE: WORST AVD 11
  11. 11. TOPICS & YOUTUBE: LIKES 12
  12. 12. TOPICS & YOUTUBE: LEAST LIKED 13
  13. 13. OVERSATURATED TOPICS 14
  14. 14. WHERE ARE THE OPPORTUNITIES? 15
  15. 15. HOW YOUTUBE DETERMINES TOPICS 16 • Metadata • Comments • Transcripts • Video Intelligence
  16. 16. CRACKING YOUTUBE 2020
  17. 17. • 200,000 Videos • 20,000 Channels THE DATA: 18
  18. 18. CHANNEL DATA 19
  19. 19. • Less than 10 videos • 1 or 2 “viral” videos CHANNELS NOT INCLUDED: 20
  20. 20. COUNT OF CHANNELS 21
  21. 21. AVG DAY 1 – 30 VIEWS 22
  22. 22. AVG LENGTH OF VIDEO 23
  23. 23. AVG LENGTH OF VIDEO: VIEW RANGES 24
  24. 24. AVD OF VIDEOS 25
  25. 25. AVD OF VIDEOS: VIEW RANGES 26
  26. 26. % VIEWED 27
  27. 27. # OF CREATOR SUGGESTED VIDEOS 28
  28. 28. # OF TAGS 29
  29. 29. CHARACTERS IN DESCRIPTION 30
  30. 30. % OF VIEWS FROM SEARCH 31
  31. 31. UPLOADS 32
  32. 32. UPLOADS 33
  33. 33. UPLOADS 34
  34. 34. TRAFFIC SOURCES 35
  35. 35. OTHER TRAFFIC SOURCES 36
  36. 36. OTHER TRAFFIC SOURCES 37
  37. 37. VIDEO DATA 38
  38. 38. • Livestreams • Advertised videos • Music Videos • Videos with less than: • 100 first day views • 1,000 seven day views VIDEOS NOT INCLUDED: 39
  39. 39. VIDEOS BY CATEGORY 40
  40. 40. COUNT OF VIDEOS BY LENGTH 41
  41. 41. COUNT OF VIDEOS BY MONTH OF RELEASE 42
  42. 42. YOUTUBE FEATURES 43
  43. 43. YOUR OWN SUGGESTED VIDEOS VS. VIEWS 44
  44. 44. YOUR OWN SUGGESTED VIDEOS VS. VIEWS 45
  45. 45. CTR IS KING 46
  46. 46. CAPTIONS ARE GREAT METADATA 47
  47. 47. LENGTH OF TITLE VS. VIEWS 48
  48. 48. # OF TAGS VS. VIEWS 49
  49. 49. LIKES AS A % VS. VIEWS 50
  50. 50. COMMENTS PER VIEWER 51
  51. 51. LIKES TO DISLIKES RATIO 52
  52. 52. LIKE TO DISLIKE RATIO (2019 ONLY) 53
  53. 53. LENGTH & AVD 54
  54. 54. VIEWS BY LENGTH 55
  55. 55. FIRST SEVEN DAYS VIDEO LENGTHS 56
  56. 56. AVD VS. VIEWS 57
  57. 57. AVD VS. VIEWS (2019 VIDEOS ONLY) 58
  58. 58. AVD VS. VIEWS 59
  59. 59. AVD VS. VIEWS (2019 ONLY) 60
  60. 60. WHY THE SHIFT? 61
  61. 61. DOES % VIEWED MATTER? MAYBE 62
  62. 62. DOES % VIEWED MATTER? MAYBE (2019 ONLY) 63
  63. 63. SUGGESTED & BROWSE 64
  64. 64. % OF VIEWS FROM BROWSE DAY 1 VS. TOTAL VIEWS DAYS 1 - 30 65
  65. 65. % OF VIEWS FROM BROWSE DAY 1 & 2 VS. TOTAL VIEWS DAYS 1 - 30 66
  66. 66. % OF VIEWS FROM SUGGESTED DAY 1 VS. TOTAL VIEWS DAYS 1 - 30 67
  67. 67. % OF VIEWS FROM SUGGESTED DAY 1 & 2 VS. TOTAL VIEWS DAYS 1 - 30 68
  68. 68. SUGGESTED VS. AVD 7 DAYS 69
  69. 69. SUGGESTED V. BROWSE, 7 DAYS, BY AVD 70
  70. 70. SUGGESTED VS. BROWSE BY AVD, WITH TOTAL VIEWS 71
  71. 71. SUGGESTED VS. BROWSE BY AVD, WITH TOTAL VIEWS (2019 ONLY) 72
  72. 72. WHY THE CHANGE IN SUGGESTED AND BROWSE? 73
  73. 73. THANK YOU!

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