Canada
Becky Kim is a Toronto-based fashion and style creator whose TikTok presence, approaching half a million followers, centers on accessible, wearable outfit inspiration.
Total Followers -0.4%
499K
Across TikTok
Primary Platform
TikTok
499K followers · 100% of audience
Engagement
7.2%
vs. 1.5% category median
Sponsorship Tier
Mid
| Platform | Followers | 30d Growth | Engagement | Posts / wk | Last upload |
|---|---|---|---|---|---|
| TikTok | 498,800 | -2K | 7.2% | 0.7 | 8 days ago |
| Window | TikTok | Combined | ||
|---|---|---|---|---|
| Last 7 days | -399 -0.1% | +0 +0.0% | +0 +0.0% | -399 |
| Last 30 days | -1846 -0.4% | +0 +0.0% | +0 +0.0% | -1846 |
| Last 90 days | -3093 -0.6% | +0 +0.0% | +0 +0.0% | -3093 |
| Last 365 days | -3093 -0.6% | +0 +0.0% | +0 +0.0% | -3093 |
Daily follower snapshots from CreatorDB's longitudinal index.
Becky Kim is a Toronto-based fashion and style creator whose TikTok presence, approaching half a million followers, centers on accessible, wearable outfit inspiration. Her content spans seasonal styling — fall denim rotations, late-summer wedding guest looks, concert outfit decisions — delivered with a conversational tone that actively invites audience participation. She also surfaces small businesses and Toronto's vintage shopping scene, lending her feed a local authenticity that rounds out the broader trend-driven fashion content.
Beckykim_ reaches an audience concentrated in Canada primarily through YouTube, and is best activated via TikTok branded content. Their sponsorship history skews toward Fashion / Apparel, a clear signal of fit for brands in those categories. Demonstrated partners include Banana Republic and Madewell. Engagement on YouTube runs around 7.3%, which points to an audience better suited to category-relevant, mid-funnel campaigns than to pure-reach buys. Their YouTube-first format lends itself to integrations that sit inside the creator's usual content rather than running as standalone ads. Because the audience follows fashion content rather than arriving through untargeted reach, sponsorships that match the channel's subject matter tend to convert more efficiently than broad placements. A consistent, on-topic posting focus gives sponsors a predictable, brand-safe environment, lowering placement risk compared with broad, general-interest channels. Campaigns here are best measured on qualified engagement and consideration within the niche rather than on raw impression volume. For Canada-focused brands in Fashion / Apparel and related categories, Beckykim_ offers a defined, creative-fit audience rather than broad, low-intent impressions.
Benchmark estimates for a creator at Beckykim_'s tier (Mid, 499K combined followers, Canada). Pulled from CreatorDB's category benchmarks.
The CreatorDB Agency runs end-to-end influencer campaigns globally — shortlisting, outreach, contracting, and performance reporting. Talk to our team about building a campaign around creators in this niche.
Yes, Beckykim_ has worked with Banana Republic as a paid brand partner, tagging sponsored style content with #bananarepublicpartner. The collaboration aligns naturally with her wearable, polished aesthetic and her audience's interest in accessible everyday fashion.
Yes, Beckykim_ has partnered with Madewell, posting branded content around their fall denim collection under #madewellpartner. The partnership fits seamlessly into her seasonal wardrobe-building content, which spans both casual and elevated everyday looks.
Her TikTok handle is @beckykim_ and her publicly listed professional email — beckyankim@gmail.com — suggests her full name is Becky An Kim or a close variation. She goes by Becky Kim consistently across her social presence.
Beckykim_ is represented by Digital Brand Architects (@digitalbrandarchitects), a talent management agency that works with digital creators on brand partnerships. Her direct professional contact is also listed publicly as beckyankim@gmail.com.
Wedding guest dress content is one of Beckykim_'s most recognizable formats — she actively alerts her audience when specific dresses come back in stock and tags posts with #weddingguestdress and #dressinspo. Her followers regularly turn to her for occasion-dressing inspiration, especially for summer and late-season events.
Beckykim_ is based in Toronto and regularly explores the city's vintage scene, tagging local finds with #torontovintage. These vintage hauls often appear within her broader "shop with me" style content, blending secondhand picks with new brand pieces.
Yes, spotlighting small and independent brands is a recurring theme in Beckykim_'s content — she has featured makers like Knotbag, a beaded bag brand, framing them as "small businesses you should know about." These posts tend to resonate strongly with her community and reflect her interest in niche or under-the-radar fashion finds.
Beckykim_ focuses on wearable, everyday fashion — outfit inspo, shop-with-me hauls, wedding guest looks, fall denim styling, summer dresses, and concert outfit picks. Her content mixes paid brand partnerships with organic personal styling, which keeps the feed feeling grounded rather than overly commercial.
Beckykim_'s engagement runs well above the typical benchmark for fashion creators on TikTok — meaningfully higher than the category median, which brands in the fashion and lifestyle space treat as a strong signal of genuine audience connection. Her comment sections frequently show followers asking for links, sizes, and personal styling opinions rather than just passive scrolling.
Although Beckykim_ is based in Toronto, nearly half of her TikTok audience is located in the United States, with Canada and the United Kingdom making up the next largest shares. That US-dominant reach makes her appealing to brands looking to activate across both the North American and broader English-speaking markets.
Stats (followers, engagement, audience demographics, growth) are pulled live from the CreatorDB API covering YouTube, Instagram and TikTok. Bio and FAQ content is AI-assisted; news items are sourced from cited public press at generation time. Read the full methodology →
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