Rachel Lee𑁤's InstagramEngagement

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rachlzw
Rachel Lee𑁤

@rachlzw · 21.2K followers

0.00%

Top 5% of creators your size

Your audience is 6x more engaged than average

$740-$1K per post

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LowAverageGoodExcellent
1.2K
Median Likes
43
Median Comments
29
Posts Analyzed
$740 – $1Kper sponsored post

Based on 21.2K followers · 6.05% engagement

Next step

Want brands to pay you?

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

Your post rate

$740-$1K

What Snippet does next

Comes next

Find brands

Brands that already pay instagram creators and fit your audience.

Write emails

Use @rachlzw's $740-$1K 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 @rachlzw's instagram audience is a fit and ask for $740-$1K 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

Make Feed Posts the Engagement Anchor

The 6.05% overall ER exceeds the 2.5-5% micro-account benchmark, and feed posts generate 6.48% ER versus 2.92% for Reels; feed posts should be the primary discussion format.

Details

End each caption with one specific question and use the 43-comment median as the minimum performance benchmark.

Move 02

Engineer Reels For Reach And Replies

At 21,230 followers, Rachel Lee𑁤 is below the 50K threshold where benchmarks indicate Reels receive higher reach, so Reels should be kept for discovery even though their 2.92% ER trails the 6.48% post ER.

Details

Add a question in the opening frame and caption, then compare every Reel against the 2.92% ER baseline and 43-comment median.

Move 03

Convert Likes Into More Comments

The 1,241 median likes and 43 median comments create a 244.1:1 like/comment ratio, indicating that the content earns substantially more passive interaction than conversation.

Details

Replace generic captions with forced-choice prompts, then evaluate each post against both the 1,241-like and 43-comment medians.

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