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- @fashionfeedweb111.2K
@fashionfeedweb India English
inimcootok.f@kt
View fashionfeedweb’s contactsInstagram Stats & Analytics for Akshita Vohra | Fashion Influencer (@fashionfeedweb)
Followers
111.2KEngagement Rate
0.57%Clothing & Outfits
Beauty
Fashion
~your next door girl 🎀
𝘌𝘭𝘦𝘷𝘢𝘵𝘦𝘥 𝘊𝘢𝘴𝘶𝘢𝘭 𝘚𝘵𝘺𝘭𝘦
Fashion | Beauty | Luxury | Travel
Work: akshitavohra@tistmedia.in
📍IXC , India
This data may be out of dateUpdate
- Worldwide#535,491
- India#71,851
- Clothing & Outfits#849
Instagram Analytics for Akshita Vohra | Fashion Influencer
Here’re Instagram account statistics for fashionfeedweb. The audience size of fashionfeedweb is 111.2K followers. The account gained 2K new followers in the four last weeks. The Engagement Rate is 0.57%. The average number of likes and comments per Instagram post created by Akshita Vohra | Fashion Influencer is 592 and 90 respectively. fashionfeedweb publishes content mostly about Clothing & Outfits, Beauty, Fashion.
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Audience Demographics
- Audience countries, cities and states
- Languages of audience
- Full audience age-gender split
- Influencers true reach
Audience Interests
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Instagram Follower Growth for Akshita Vohra | Fashion Influencer
+2,000 followers last 4 weeks
+1.83%
- Follow/unfollow patterns analysis
- Following graph
- Organic growth check
Instagram Account Activity
Avg Likes
592Avg Comments
90- Engagement analysis
- Engagement authenticity check
- Comment pods check
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Instagram Audience Demographic
Check @fashionfeedweb audience demographics. Full report shows percentage for top-5 countries, top-5 cities, states breakdown for US, core gender, and top-5 languages.
@fashionfeedweb audience quality analytics
Get in-depth analysis of the quality of audience and find fake or ghost followers numbers. The report will show the number of real people and influencers, the percentage of mass followers and suspicious accounts.
Audience age and gender
Evaluate the percentage of target age group and gender among @fashionfeedweb audience. The report will show the percent of each age-gender group and overall split.