Kristina Jashi's InstagramEngagement

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kristtaj
Kristina Jashi

@kristtaj · 9.6K followers

0.00%

Top 20% of creators your size

Your audience is 2x more engaged than average

$40-$66 per post

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We will start with this profile.

LowAverageGoodExcellent
229
Median Likes
10
Median Comments
21
Posts Analyzed
$40$66per sponsored post

Based on 9.6K followers · 2.48% engagement

Next step

Want brands to pay you?

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

Your post rate

$40-$66

What Snippet does next

Comes next

Find brands

Brands that already pay instagram creators and fit your audience.

Write emails

Use @kristtaj's $40-$66 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 @kristtaj's instagram audience is a fit and ask for $40-$66 per post.

Want Snippet to find brands and send the emails?

Close deals for me

No charge today

Next steps

What to fix next

Simple fixes that can help brands take you more seriously.

Move 01

Turn Likes Into More Comments

Posts have a 14.8:1 like-to-comment ratio, with median results of 229 likes and 10 comments.

Details

Add a direct either-or question to every Instagram caption and actively reply to comments to improve interaction beyond the current 10-comment median while building on the 2.69% post ER.

Move 02

Push Engagement Toward Nano Benchmarks

The 2.48% overall engagement rate is below the 3.5-8% benchmark for nano creators.

Details

Test recurring carousel posts with a clear first-slide promise and a final slide asking for a comment, since carousels benchmark at 0.55% ER versus 0.45% for static images.

Move 03

Rebuild Reels Around Reach

Reels ER is 0.03%, compared with 2.69% for posts, so the format should be revised rather than simply publishing more Reels.

Details

Because Reels receive higher reach for accounts under 50K and Kristina Jashi has 9,648 followers, each Reel should open with the outcome, add on-screen context, and end with a question while targeting performance closer to the 2.69% post ER.

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