Turkey: Top 5 Cycling Instagram Influencers

As of September 2026, infloo tracks 5 Instagram creators in Turkey in the Cycling category. Their median engagement rate is 2.35% (middle half: 1.13–2.59%), and the median account has 205K followers. Micro-influencers (10K–100K followers): 1 of 5; over 1M followers: 2. Highest engagement: @seatosky_official (2.79%), @toprakrazgatlioglu7 (2.59%), @toprak_tr54 (2.35%).

Creators tracked: 5
Median ER: 2.35%
Middle half of ER: 1.13–2.59%
Median followers: 205K
Data as of: September 2026

#	Instagram Account	Categories	Number of followers	Audience Engagement (ER)	User's Country	User's City	Check Fake Followers
1	1 Toprak Razgatlıoğlu @toprakrazgatlioglu7 Followers: 2,082,465 • ER: 2.59% Alanya Vehicles Cars Motorbikes Bicycles Cycling Mountain Biking Check Fake Followers Get contacts	Vehicles Cars Motorbikes Bicycles Cycling Mountain Biking	Followers 2,082,465	ER 2.59%	Country	City Alanya	Check Fake Followers Get contacts
2	2 Toprak Razgatlıoğlu @toprak_tr54 Followers: 1,757,001 • ER: 2.35% Alanya Vehicles Cars Motorbikes Bicycles Cycling Mountain Biking Check Fake Followers Get contacts	Vehicles Cars Motorbikes Bicycles Cycling Mountain Biking	Followers 1,757,001	ER 2.35%	Country	City Alanya	Check Fake Followers Get contacts
3	3 CFMOTO @cfmotoofficial Followers: 204,633 • ER: 1.04% Beijing Vehicles Cars Electric Cars Motorbikes Bicycles Cycling Check Fake Followers Get contacts	Vehicles Cars Electric Cars Motorbikes Bicycles Cycling	Followers 204,633	ER 1.04%	Country	City Beijing	Check Fake Followers Get contacts
4	4 BMW Motorrad Motorsport @bmwmotorradmotorsport Followers: 166,386 • ER: 1.13% Montmeló Vehicles Cars Electric Cars Motorbikes Bicycles Cycling Check Fake Followers Get contacts	Vehicles Cars Electric Cars Motorbikes Bicycles Cycling	Followers 166,386	ER 1.13%	Country	City Montmeló	Check Fake Followers Get contacts
5	5 Sea to Sky @seatosky_official Followers: 58,324 • ER: 2.79% Antalya Motorbikes Bicycles Cycling Mountain Biking Running Trail Running Check Fake Followers Get contacts	Motorbikes Bicycles Cycling Mountain Biking Running Trail Running	Followers 58,324	ER 2.79%	Country	City Antalya	Check Fake Followers Get contacts

See the TikTok top

Frequently asked questions

Who are the top Cycling Instagram influencers in Turkey?

By followers: @toprakrazgatlioglu7 (2.1M), @toprak_tr54 (1.8M), @cfmotoofficial (205K). By engagement rate: @seatosky_official (2.79%), @toprakrazgatlioglu7 (2.59%), @toprak_tr54 (2.35%). Data: infloo, September 2026.

What is a typical engagement rate for Cycling influencers in Turkey?

The median is 2.35%; half of the 5 creators fall between 1.13% and 2.59%. Data: infloo, September 2026.

How many Cycling influencers in Turkey have under 100K followers?

1 of 5: 0 under 10K and 1 with 10K–100K followers.

How many Cycling Instagram influencers does infloo track in Turkey?

5 as of September 2026. The ranking shows all of them, sorted by followers.

Our blog

Discover new things about Marketing, Trends and another priceless information

Building Long-Term Partnerships with Influencers: What Works and What Doesn’t

Many brands believe long-term influencer collaborations are the holy grail, but success requires careful partner selection, goal alignment, creative freedom and consistent communication. This article explores proven approaches, common pitfalls and real-world experience to help you decide whether long-term partnerships are right for your brand.

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.

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.