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Clara's Forgotten Wardrobe

@clarasforgottenwardrobe

Language: EnglishCountry: Germany10 years old

  • Persona: Clara · Expert · Middle-aged
  • Sells · $4.99 ebook (+9 more)
  • 1970s fashion
  • Vintage fashion
  • Fashion history
  • Retro style
  • Vintage clothing
  • 1950s etiquette
  • Nostalgia
  • Mail order catalogs
Subscribers
396
Total views
12.7K
Videos
33

Stats updated Stats from YouTube

Growth

Subscribers · daily totals we stored, UTC days

Show the numbers
Subscribers per UTC day, last 30 days, newest first
Day (UTC)Subscribers
Oct 14, 2026396
Oct 13, 2026394
Oct 12, 2026394

Top videos

Most viewed

What they sell

From the public store pages the channel links to, checked Oct 12, 2026.

How they sell it

  1. 1Video
  2. 2Descriptionstore link in the first line
  3. 3Landing pageGumroad · clarasamericanattic.gumroad.com
  4. 4CheckoutGumroad
  • Store link in 33% of recent descriptions
  • Link in descriptions since Sep 10, 2026
  • Entry points: the About page, the first line of descriptions

Analysis

Our own reading of the channel’s public titles, descriptions and thumbnails, not data from YouTube.

Persona

Clara

Expert · Middle-aged · Female · Cozy living room with old mail-order catalogues, a sewing box and a lamp

Niche

1970s fashion history and why old pieces are back in style

Audience

Adults, mostly women, who remember or are curious about American clothing and manners from the 1950s to the 1970s, and shoppers who want to wear vintage-style pieces now (inferred from titles, the about text and captions; there are no audience statistics).

Avatar
  • Realistic avatar
  • Photorealistic women in 1970s outfits (feathered hair, floral blouses, corduroy, denim) in warm retro rooms; the 1950s etiquette videos use women in period dress. The avatar is a dark-haired woman in a pink cardigan with flags and a map behind her; the banner shows a woman seated in a wood-paneled living room.
Format

One garment or etiquette custom per video, told as history: a hook about the viewer's closet, the host introducing herself with old catalogues, a short plug for her illustrated books, dated facts by section, a 'try this week' task and a question for the comments.

Typical length

Fashion videos 25-30 min (two 7-9 min); etiquette ones mostly 29-56 min

Content pillars
  • 1970s garments and why they are back (wrap dress, denim, corduroy, gaucho)
  • Mail-order catalogue history of everyday clothes
  • 1950s etiquette and unspoken social rules
  • Forgotten customs: letters, thank-you notes, calling cards
  • Styling tips for wearing vintage pieces now
Title patterns
  • Why Everyone Owned a [garment] in [year] (And Why It Is Back)
  • Unspoken Rules Every 1950s [role] Followed
  • Why Everyone [did X] in the [decade]s
  • 25 Church Rules Every American Woman Knew in [year]
  • How to Wear a [garment] Without Looking Dated (The 1970s Way)
Thumbnails

A photorealistic woman in period dress (1970s hair and prints, or 1950s costume) in a warm retro room, often beside a garment. Short all-caps captions (2-4 words) in white or yellow, sometimes on a red banner; etiquette videos use 'FORGOTTEN ETIQUETTE RULES'-style headers.

Why it works
  • 7 of the 10 newest uploads share one title shape: 'Why Everyone [wore X] in [year]', and 5 of those end '(And Why It Is/They Are Back)'
  • 4 of the 5 most viewed videos (527 to 1,426 views) use 'Unspoken Rules Every 1950s [role] Followed', all published in Aug 2026
  • Steady output: 30 dated uploads from 4 Jul to 11 Oct (about 2 a week), most of them 25 to 56 minutes long
  • A named first-person host, Clara, with a repeated sign-off (lamp, tea, sewing box) and a viewer question at the end of both newest transcripts
  • All 10 thumbnails pair a period-dressed woman with a short all-caps caption; the 4 most viewed videos use 'FORGOTTEN ETIQUETTE RULES'-style headers

Similar channels

Same niche or the same kind of persona, from the library.

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Stats from YouTubeLast updated Channel and video data from YouTube (YouTube Terms of Service (opens in a new tab)). The analysis is ours, not data from YouTube.