youtube

Ph033b3 YouTube

Channel in statistics (grim)

vsb-TyYk3eY

220000

People

Heaven by Mitski

UCZruibRDshjVKWEPqh3jy-A

January in Melbourne

Public

Processed

2024-04-05T01:39:32+00:00

2024-04-05T01:43:27+00:00dxhlIa8GlYM

399000

People

Video Life by Chris Spedding

&

Marinade by DOPE LEMON

UCZruibRDshjVKWEPqh3jy-A

February in Melbourne

Public

Processed

2024-04-05T01:09:20+00:00

2024-04-05T01:19:45+00:00

J-S8-lP1DTA

89000

People

A GOOD LIFE by Eyedress

UCZruibRDshjVKWEPqh3jy-A

One Night in March

Public

Processed

2024-04-04T23:12:23+00:00

2024-04-04T23:16:47+00:00

GeUBgz1VFM0

99000

People

Built by Design by Far Caspian

UCZruibRDshjVKWEPqh3jy-A

One Friday in April (Zoe's 21st)

Public

Processed

2024-05-13T04:06:49+00:00

2024-05-13T04:09:27+00:00

Y99-MzCCnAE

177000

People

The Reservoir by Small Forward

&

The von dutch remix by Charli XCX, Addison Rae, A. G. Cook

UCZruibRDshjVKWEPqh3jy-A

the best month of the year xoxo

Public

Processed

2024-06-01T05:47:17+00:00

2024-06-01T05:51:39+00:00

Zy9tdNTht78

177000

People

Where Are You by 54 Ultra

&

Monkey Gone To Heaven by Pixies

UCZruibRDshjVKWEPqh3jy-A

JUNE 🐛

Public

Processed

2024-07-03T02:54:08+00:00

2024-07-03T03:01:54+00:00

7pVdWbsCkfA

250000

People

I Love You by Fontaines D.C.

&

Jesus Freak Lighter by Blood Orange

UCZruibRDshjVKWEPqh3jy-A

July Family & Friends

Public

Processed

2024-08-07T11:07:59+00:00

2024-08-07T11:15:15+00:00

Esf9_DOjel8

146000

People

Lovely Sewer by Yves Tumor

UCZruibRDshjVKWEPqh3jy-A

August

Public

Processed

2024-09-04T04:17:32+00:00

2024-09-04T04:46:03+00:00

ym4ZwaKdP6I

290000

People

Sugar Water by Cibo Matto

&

Oh Dread by Althea and Donna

UCZruibRDshjVKWEPqh3jy-A

September (start of)

Public

Processed

2024-10-08T04:54:17+00:00

2024-10-08T05:01:19+00:00

YouTube & Data

I’ve found YouTube data the least interesting of all the data I’ve looked at, in the sense that most of this information is available on the video’s upload. Also, the videos I have made this year have already been categorised by date, and therefore the precise time and location data doesn’t aid my memory more than the video itself can.

This could also be because I’m looking at my data as a “creator” rather than my consumption data, and as a creator I don’t have a following or high impressions… so the data is minimal. It is interesting to see the ladder of what videos have the most reach.

Impressions required

to be monetised