outfit finder!

About outfit finder!

Outfit Finder! (@outfitfinderitsy) is a YouTube-based creator operating within the fashion identification niche. The channel focuses on sourcing and documenting the specific apparel worn by prominent influencers and public figures, providing viewers with direct information on where to purchase these items. The content strategy is high-frequency, characterized by a publishing schedule of three to five YouTube Shorts daily, supplemented by one long-form video per week. The creator, known as Itsy, maintains a community-driven approach by soliciting requests from the audience regarding which influencers' wardrobes to analyze next. All pricing information provided in the channel's content is standardized to USD. The channel also serves as a platform for affiliate partnerships, notably featuring a discount code for the jewelry brand Evry Jewels. While the channel aggregates visual content from various sources, it explicitly notes that all background video content remains the property of the respective original owners. With 87,100 subscribers and a total view count of 142,767,575 across 3,241 published videos, the channel has established a consistent presence in the fashion-discovery space. The creator's operational transparency includes tracking subscriber milestones, which indicates a rapid growth trajectory between August 2023 and June 2024. The channel is currently positioned as a micro-influencer entity, focusing on the intersection of celebrity culture and consumer fashion accessibility.

outfit finder!'s estimated sponsorship rates

The estimated market rate for a brand integration on the @outfitfinderitsy YouTube channel ranges from $210 to $360 per video, with a typical valuation of $270. These figures are calculated based on a niche CPM band of $14 to $24, anchored at $18. Several factors influence this pricing structure relative to peers in the fashion category. Primarily, the channel’s high volume of content—specifically the daily output of YouTube Shorts—creates a consistent stream of impressions that appeals to brands seeking high-frequency exposure. While the audience tier is classified as micro, the total view count of 142,767,575 suggests a high level of historical engagement and content longevity. The pricing is further adjusted by the specific nature of the fashion-discovery niche, which often commands higher conversion rates for affiliate-linked products like jewelry or apparel. Because the channel utilizes a subscriber-fallback model for view-count estimation (14,981 views) due to the lack of recent 30-day average data, the rates reflect a conservative baseline. As the channel continues to scale toward its 90,000-subscriber goal, these estimates are subject to adjustment based on verified real-time engagement metrics. For a comprehensive explanation of how these variables interact to determine the final valuation, please refer to our methodology page.

Who should partner with outfit finder!?

The audience for Outfit Finder! is primarily composed of consumers interested in influencer-led fashion trends and accessible style replication. Given the nature of the content—identifying specific garments worn by public figures—the audience demographic likely skews toward individuals who engage with celebrity culture and social media trends. This audience is highly receptive to brand integrations involving apparel, accessories, and jewelry, as evidenced by the channel's existing partnership with Evry Jewels. The channel’s content strategy, which emphasizes finding specific items in USD, suggests a primary consumer base located in regions where US-based e-commerce is the standard. When comparing the channel to peer creators such as HOW ABOUT OOTD (83,200 subscribers) and TAKATO / タカト (94,700 subscribers), it is evident that the fashion-discovery niche maintains a dedicated, niche-specific following. Unlike broader fashion vloggers, the audience of @outfitfinderitsy is specifically motivated by the utility of the content—the ability to locate and purchase items seen on influencers. This intent-driven behavior makes the audience particularly valuable for brands in the fashion, beauty, and lifestyle sectors. While we do not yet have granular demographic data regarding age or geographic distribution, the consistency of the subscriber growth milestones suggests a loyal and recurring viewership that returns for daily updates on influencer fashion choices.

outfit finder!'s growth and performance

The growth history of @outfitfinderitsy demonstrates a rapid expansion phase during the 2023-2024 period. According to the channel’s self-reported milestones, the creator reached 100 subscribers on August 14, 2023, and scaled to 10,000 subscribers by September 28, 2023, representing a significant acceleration in the first two months of operation. By June 21, 2024, the channel had surpassed 30,000 subscribers, with a stated goal of reaching 90,000 subscribers. Current data from our latest snapshot on October 4, 2026, confirms the channel has reached 87,100 subscribers. The snapshot indicates a stable period with no change in the subscriber count over the most recent 24-hour tracking interval. While we do not yet have a long-term view-count history or a 30-day average for recent video performance, the total repository of 3,241 videos provides a substantial archive that continues to contribute to the channel's total lifetime view count of 142,767,575.

How our pricing estimate works for outfit finder!

The valuation and audience metrics presented for @outfitfinderitsy are derived from a proprietary algorithmic model designed to provide standardized insights across the creator economy. Our estimates for video integrations are calculated by multiplying the creator's subscriber count and historical view data by a niche-specific Cost Per Mille (CPM) range. For this profile, we utilized a CPM band of $14 to $24, which reflects the current market value for fashion-focused content on YouTube. In instances where recent 30-day average view data is unavailable, our system employs a subscriber-fallback model to ensure a baseline estimate is provided. This methodology accounts for platform-specific multipliers and format variations, such as the difference in value between long-form content and YouTube Shorts. For a detailed breakdown of the variables, data weighting, and the mathematical formulas used to determine these figures, please visit our methodology page.