Log in Sign up
EN
English flag EN
Deutsch flag
DE AI
Español flag
ES AI
Português flag
PT AI
Română flag RO
Русский flag RU
Log in Sign up

Florence: Top 1 Beauty Instagram Influencers

As of September 2026, infloo tracks 1 Instagram creator in Florence in the Beauty category.

Creators tracked
1
Data as of
September 2026
Select country
Select city
Select category
# Instagram
Account		 Categories Number of
followers		 Audience
Engagement (ER)		 User's
Country		 User's
City		 Check Fake
Followers
1
Beauty Photography
Followers
15,658
ER
1.48%
Country
it
City
Florence
Check Fake Followers Get contacts
See the TikTok top Average Instagram engagement rate in Italy Check any Instagram creator for fake followers — free How we build the rankings and measure creators

See also in the cities:

Our blog

Discover new things about Marketing, Trends and another priceless information

More posts
How Do You Find and Vet Instagram Influencers in Brazil? A Stage-by-Stage Guide
How Do You Find and Vet Instagram Influencers in Brazil? A Stage-by-Stage Guide

Brazil's 50 largest Instagram accounts median 0.29% engagement—11th of 14 countries sampled. Platform choice is the largest lever: Brazil's biggest TikTok accounts median 8.98%, roughly 31x higher. Here's how to build a shortlist that survives review.

Read more
Should a Brand Partner With @usykaa? A Teardown of Ukraine's 3.6M-Follower Instagram Account
Should a Brand Partner With @usykaa? A Teardown of Ukraine's 3.6M-Follower Instagram Account

@usykaa's 7.69% engagement rate is a genuine outlier—roughly 13 times Ukraine's median—but 53.8% of the 3.6M followers are estimated real, cutting the practical reach to 1.96M. Here's how to price the partnership.

Read more
What Engagement Rate Should You Require From an Influencer? A Step-by-Step Way to Set Your Own Benchmark
What Engagement Rate Should You Require From an Influencer? A Step-by-Step Way to Set Your Own Benchmark

Cross-platform benchmarks don't work—Instagram's median is 0.51% while TikTok's is 9.05%. Learn how to build platform-specific, country-adjusted, category-specific thresholds that actually predict performance.

Read more