Dr. Divya Sharma MD | Dermatologist in Bangalore's InstagramEngagement

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dr.divya_sharma
Dr. Divya Sharma MD | Dermatologist in Bangalore

@dr.divya_sharma · 16.1K followers

0.00%

Below average for your follower size

Niche relevance and content quality matter more than raw numbers

$18-$29 per post

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LowAverageGoodExcellent
26
Median Likes
0
Median Comments
20
Posts Analyzed
$18$29per sponsored post

Based on 16.1K followers · 0.16% engagement

Next step

Want brands to pay you?

Snippet can use this instagram result for @dr.divya_sharma to find brands, write emails, and help you close deals.

Your post rate

$18-$29

What Snippet does next

Comes next

Find brands

Brands that already pay instagram creators and fit your audience.

Write emails

Use @dr.divya_sharma's $18-$29 post rate so brands know what to pay.

Follow up

If a brand replies, Snippet keeps the deal moving.

First message

I'd show brands why @dr.divya_sharma's instagram audience is a fit and ask for $18-$29 per post.

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Next steps

What to fix next

Simple fixes that can help brands take you more seriously.

Move 01

Prioritize Carousel Education

The current posts ER is 0.17%, compared with the 0.55% benchmark for carousels and 0.45% for static images.

Details

Dr. Divya Sharma MD | Dermatologist in Bangalore should publish educational Instagram carousels that address one specific audience problem, then end each with a question designed to generate comments.

Move 02

Rework Reels For Interaction

Reels currently produce a 0.09% ER, below the 0.17% posts ER, but Reels generally receive higher reach for accounts below 50,000 followers; the account has 16,150 followers.

Details

Use a clear opening problem, a concise solution, and a direct comment prompt, then compare future Reel results against the 0.09% baseline.

Move 03

Turn Likes Into Comments

The median comments are 0.0 and the like/comment ratio is 19.6:1, indicating that likes are not translating into conversation.

Details

Add one specific question to every caption and invite responses tied to the post topic, with the goal of moving comment performance above the current 0.0 median.

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