Rank | Influencer | Location | Followers | Engagement | Monthly Growth | Score |
---|---|---|---|---|---|---|
1 | Kamala Harris @kamalaharris Wife, Momala, Auntie. She/her. 107 Days available for pre-order now ↓ | San Francisco, United States of America | 9.4M Follower | 18.20% Engagement | +3.2%(+290.0K) | 8.3 |
2 | Stephen Curry @stephencurry30 Did not, in fact, show up three days ago. | San Francisco, United States of America | 8.3M Follower | 10.16% Engagement | +1.3%(+109.1K) | 7.5 |
3 | Charlie Puth @charlieputh | San Francisco, United States of America | 22.4M Follower | 12.16% Engagement | +0.5%(+105.6K) | 8.4 |
4 | Narabask @narabask Si ves esto te amo 🌐: narabaska9@gmail.com 🇲🇽: nara@rawtalent.co | San Francisco, United States of America | 3.9M Follower | 10.29% Engagement | +1.8%(+67.3K) | 9.0 |
5 | scottkress @scottkress_ you look lost foIIow me, jk im lost too babe ❤️ 📧 scott@palettemgmt.com | San Francisco, United States of America | 5.7M Follower | 23.65% Engagement | +1.0%(+55.7K) | 9.9 |
6 | Miguel @cooking_with_fire My Recipes plus more ⬇️⬇️⬇️ | San Francisco, United States of America | 2.1M Follower | 5.07% Engagement | +2.4%(+49.4K) | 5.0 |
7 | Ctfit @ctfit Wife & Mom of ✌🏼 teenagers 💌 Inquiries: chrissy_ctfit@yahoo.com | San Francisco, United States of America | 1.6M Follower | 3.61% Engagement | +3.0%(+45.7K) | 5.3 |
8 | Lisbeeeethh @lisbeeeethh__ Hola me encanta hacer videos💋 400K? | San Francisco, United States of America | 345.2K Follower | 11.58% Engagement | +14.5%(+43.8K) | 8.2 |
9 | joshterada @joshterada Man of God & Family Man Text “amen” to (562)444-1700 for weekly texts from me | San Francisco, United States of America | 378.2K Follower | 8.76% Engagement | +8.8%(+30.8K) | 8.5 |
10 | Yoly Pacheco Ventriloquist @yoly.ventrilocua Ventrílocuo / Bilingual Ventriloquist/ FB 👉🏽 YolyVentriloquist | San Francisco, United States of America | 1.3M Follower | 2.19% Engagement | +2.3%(+30.1K) | 5.9 |
11 | Tristan @tristanpvaldez Cosplayer except I never actually do them. | San Francisco, United States of America | 3.0M Follower | 19.62% Engagement | +0.8%(+23.6K) | 9.9 |
12 | Isaac Cervantes @isaaccervantes9 ✉️ Mckenzie@gochuent.com YouTube👇🏼 | San Francisco, United States of America | 5.5M Follower | 5.06% Engagement | +0.4%(+23.5K) | 6.3 |
13 | IsaacandAndreaGames @isaacandandreagames Can we hit 1M? ✉️ Mckenzie@gochuent.com Games!⬇️ | San Francisco, United States of America | 695.0K Follower | 2.72% Engagement | +3.3%(+21.9K) | 4.5 |
14 | Jayla Page @jaylapage_ The official Jayla P ❤️ Twitter: Jaylapage10 IG:Jaylaspaige 1M? | San Francisco, United States of America | 921.5K Follower | 2.98% Engagement | +2.2%(+20.0K) | 5.0 |
15 | Ronnie @ronnie2k Face of NBA 2K 🐐 🏀 | San Francisco, United States of America | 1.1M Follower | 5.75% Engagement | +1.9%(+19.9K) | 5.9 |
16 | Danielle Walter @daniellewalter_ brunette Carrie Bradshaw of San Francisco teamdanielle@linkcreatormgmt.com | San Francisco, United States of America | 780.1K Follower | 5.58% Engagement | +2.6%(+19.6K) | 6.0 |
17 | Jared McCain @jaredmccain | San Francisco, United States of America | 4.8M Follower | 11.73% Engagement | +0.3%(+16.3K) | 7.9 |
18 | Matt & Omar @mattandomar ur fav 🐈⬛/🐕 duo 📧 mattandomar@dulcedo.com 📍SF | San Francisco, United States of America | 1.4M Follower | 14.82% Engagement | +1.1%(+16.1K) | 9.0 |
19 | secret wyatt @wyattissues GAAAAAGGGGGG WyattTeam@redxtalent.com | San Francisco, United States of America | 458.1K Follower | 19.49% Engagement | +3.6%(+15.9K) | 9.8 |
20 | Therealmaxieeeee @therealmaxieeeee I’m a MUVA 🐈 🦝 Collabs📥:Lilmaxiemusic@gmail.com maxie@slogansocial.com | San Francisco, United States of America | 3.1M Follower | 16.61% Engagement | +0.5%(+15.3K) | 9.1 |
Entdecke die einflussreichsten Creator in San Francisco mit unserem Ranking der Top 20 Influencer auf TikTok. Diese datengetriebene Analyse zeigt, wer Diskussionen prägt, Trends setzt und in 2025 die höchsten Engagement‑Raten erzielt.
Zielgruppenanalyse derzeit nicht verfügbar.
For brands and marketers, this ranking provides essential intelligence for:
For content creators, these insights help with:
Our rankings are generated using advanced algorithms that analyze multiple performance indicators:
Data is refreshed weekly to ensure you're always working with the most current information. Last update includes performance data through September 2025.
Aktuell (Stand September 2025) ist Kamala Harris (@kamalaharris) der/die am schnellsten wachsende Creator in San Francisco auf TikTok mit +3.2% monatlichem Wachstum (+290.0K Follower).
Kamala Harris (@kamalaharris) gewann etwa 290.0K Follower (+3.2%) im letzten Monat.
Kamala Harris (@kamalaharris) wuchs stärker als Stephen Curry (@stephencurry30) (290.0K vs. 109.1K).
Stephen Curry (@stephencurry30) wächst aktuell um +1.3% (+109.1K) pro Monat, mit einem Profile Score von 7.5 und einem durchschnittlichen Engagement von 10.16%.
Charlie Puth (@charlieputh) wächst aktuell um +0.5% (+105.6K) pro Monat, mit einem Profile Score von 8.4 und einem durchschnittlichen Engagement von 12.16%.
Narabask (@narabask) wächst aktuell um +1.8% (+67.3K) pro Monat, mit einem Profile Score von 9.0 und einem durchschnittlichen Engagement von 10.29%.
scottkress (@scottkress_) wächst aktuell um +1.0% (+55.7K) pro Monat, mit einem Profile Score von 9.9 und einem durchschnittlichen Engagement von 23.65%.
Stephen Curry (@stephencurry30) liegt vorne (1.3% vs. Charlie Puth (@charlieputh) 0.5%).
Kamala Harris (@kamalaharris) gewann etwa 290.0K Follower (+3.2%) im letzten Monat.
Stephen Curry (@stephencurry30) gewann etwa 109.1K Follower (+1.3%) im letzten Monat.
Charlie Puth (@charlieputh) gewann etwa 105.6K Follower (+0.5%) im letzten Monat.
Narabask (@narabask) gewann etwa 67.3K Follower (+1.8%) im letzten Monat.
scottkress (@scottkress_) gewann etwa 55.7K Follower (+1.0%) im letzten Monat.
Ja – Kamala Harris (@kamalaharris) hat einen Profile Score von 8.3, durchschnittliches Engagement von 18.20% und +3.2% (+290.0K) monatliches Follower‑Wachstum, was für hohe Relevanz spricht.
The average engagement rate for this category is 7.86%. Generally, rates above 9.4% are considered excellent, while rates above 6.3% are good. Engagement rates vary by platform, niche, and follower count - micro-influencers often have higher rates than mega-influencers.
The Profile Score (0-10 scale) is a composite metric that weighs several factors: 40% engagement quality, 25% audience reach, 20% growth momentum, 10% content consistency, and 5% audience authenticity. A score above 7.0 indicates a high-performing influencer, while scores above 8.5 represent elite-tier creators.
Yes! This ranking is designed to help brands, agencies, and marketers identify potential partnership opportunities. The data provides a starting point for campaign planning, competitor analysis, and market research. For detailed campaign analytics and contact information, consider upgrading to our professional tools.
Monthly growth shows the percentage change in followers over the past 30 days. Positive growth (green) indicates gaining followers, while negative growth (red) means losing followers. The number in parentheses shows the absolute follower change. High growth rates often indicate viral content or successful campaigns.
Location-specific influencer tracking is crucial for targeted marketing campaigns. Local influencers often have higher engagement rates within their geographic area, understand cultural nuances, and can drive better ROI for region-specific products or services. They're particularly valuable for retail, hospitality, and location-based businesses.
Focus on these key areas: (1) Increase engagement by creating content that encourages comments and shares, (2) Post consistently to maintain audience interest, (3) Use relevant hashtags to expand reach, (4) Collaborate with other creators in your niche, (5) Respond to comments to build community, and (6) Analyze your best-performing content and create similar pieces.
Note: This ranking represents a snapshot of current tiktok influence based on publicly available data. Rankings can fluctuate based on content performance, platform algorithm changes, and audience behavior. Use this data as one of several factors in your decision-making process.