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π¦π¨πππ‘π π£ππ§π₯π | Bridal MUA & Trainer β
@suzanapetre_makeuptrainer Β· Instagram Β· bridal Β· Romania
Reach π¦π¨πππ‘π π£ππ§π₯π | Bridal MUA & Trainer on Instagram β
- Followers
- 10,556
- Posts
- 678
- Niche
- bridal
- Based in
- Romania
Public data as observed July 2026 Β· figures change β verify on the original profile
About π¦π¨πππ‘π π£ππ§π₯π | Bridal MUA & Trainer
Machine-generated from public data; may contain inaccuracies. Verify on the original profile.
Followers & content
@suzanapetre_makeuptrainer currently has 10,556 followers on Instagram and follows 6,580 accounts, a follower-to-following ratio of 1.6. That places the account in the micro tier of bridal creators.
@suzanapetre_makeuptrainer has published 678 posts to date, working across reels, stories, carousels, static-posts. The content is classified under bridal, makeup, beauty-tips, wedding. Bio: βπMUA| Trainer| 15+EXP π°πΌββοΈππ³πͺπ₯π’π ππ±π¦π€πͺπ’ππͺπ΄π΅ πππ³π’πͺπ°π·π’.πππ·π΄ πCursuri π£ππ₯ππππ§ππ’π‘ππ₯π π¦π ππππ πͺπ―π₯πͺπ·πͺπ₯πΆπ’β¦β
Audience
Audience snapshot
10% male Β· 90% female
Core age group25-34
Machine-generated from public data; may contain inaccuracies. Verify on the original profile.
Authenticity & quality
AI quality check on @suzanapetre_makeuptrainer
Zaver's AI screened this account across multiple public signals. No blocking issues were detected in standard screening.
- Audience location & demographics
- Engagement quality & authenticity
- Follower growth patterns
- Signs of purchased followers
- Content niche classification
- Brand safety screening
- Posting activity & consistency
- Language & audience fit
Rankings
@suzanapetre_makeuptrainer's rankings on Zaver
Based on follower count among creators that passed Zaver's indexing quality bar.
Estimated earning potential
Based on 10,556 public followers in bridal, a creator at this scale could earn an estimated $80β$210 per sponsored post.
Zaver does not hold or record any creator's net worth or income. This is an automated estimate of brand-deal earning potential, derived only from public follower and engagement data, and may be inaccurate.
Questions & answers
Frequently asked questions
Who is π¦π¨πππ‘π π£ππ§π₯π | Bridal MUA & Trainer?
π¦π¨πππ‘π π£ππ§π₯π | Bridal MUA & Trainer (@suzanapetre_makeuptrainer) is a bridal creator on Instagram based in Romania with 10,556 followers. Full stats, audience data and collaboration pricing are below.
How many Instagram followers does @suzanapetre_makeuptrainer have?
As of July 2026, @suzanapetre_makeuptrainer has 10,556 followers (11K) on Instagram, follows 6,580 accounts, and has published 678 posts. Zaver refreshes these numbers on a rolling basis.
How do I contact @suzanapetre_makeuptrainer?
Many creators publish a business email or contact button in their public bio. Zaver Radar surfaces those public contact details β email, phone and WhatsApp β where a creator has shared them, across millions of Instagram creators, so you can reach out from your own inbox.
How much does @suzanapetre_makeuptrainer charge for a sponsored post?
@suzanapetre_makeuptrainer sits in the standard price tier on Zaver, based on follower scale, engagement and niche. Zaver's AI pricing model also produces a fair per-post price range with justification, so brands can negotiate from data instead of guessing.
What is @suzanapetre_makeuptrainer's net worth?
Zaver does not hold or record any creator's net worth, and there's no publicly confirmed figure for @suzanapetre_makeuptrainer. Based only on 10,556 public followers in bridal, a creator at this scale could earn an estimated $80β$210 per sponsored post β an automated estimate of earning potential, not a confirmed figure, and it may be inaccurate. Actual income depends on posting cadence, deal volume and other sources.
How old is @suzanapetre_makeuptrainer?
@suzanapetre_makeuptrainer's date of birth isn't publicly confirmed on their Instagram profile, so Zaver doesn't publish an age. What's public: π¦π¨πππ‘π π£ππ§π₯π | Bridal MUA & Trainer is a bridal creator based in Romania with 10,556 followers.
Does @suzanapetre_makeuptrainer have fake followers?
Zaver's AI authenticity check scores @suzanapetre_makeuptrainer 95/100, based on multiple signals including engagement quality, follower growth patterns and signs of purchased followers. That indicates a predominantly genuine audience.
Who follows @suzanapetre_makeuptrainer?
@suzanapetre_makeuptrainer's 11K followers skew 10% male / 90% female, core age group 25-34. Full audience breakdowns β age bands, gender split and country-level distribution β are part of @suzanapetre_makeuptrainer's report on Zaver.
Which influencers are similar to @suzanapetre_makeuptrainer?
Zaver lists comparable bridal creators in Romania in the "Influencers like @suzanapetre_makeuptrainer" section on this page, matched by niche, audience size and engagement. Zaver users can also search all 5,839 vetted bridal creators with plain-English queries.
Looking to work with creators like π¦π¨πππ‘π π£ππ§π₯π | Bridal MUA & Trainer?
Reach π¦π¨πππ‘π π£ππ§π₯π | Bridal MUA & Trainer directly on their Instagram profile, or use Zaver to find more creators for your brand's collaborations, promotions and partnerships.
About this result & your rights
- What this page is
- An automated public-data summary generated by Zaver's creator search index to help brands discover creators. It is a search result, not an account or profile the creator created, manages or has registered.
- Where the data comes from
- Only @suzanapetre_makeuptrainer's public Instagram profile and public posts. Zaver does not use private or logged-in content, does not harvest address books, and does not infer or guess contact details.
- How current it is
- Figures reflect the public profile as observed July 2026 and change over time. Always verify on the original profile before relying on them.
- Estimates and AI-generated text
- Any earning figure is an automated estimate of brand-deal earning potential derived only from public follower and engagement data β Zaver holds no record of any creator's income or net worth. Narrative sections marked βAI summaryβ are machine-generated from the same public data and may contain inaccuracies.
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