ΞLIKRYPTO's TwitterEngagement

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elikrypt
ΞLIKRYPTO

@Elikrypt · 40.1K followers

0.00%

Average for creators your size

$125-$500 per post

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LowAverageGoodExcellent
27
Median Likes
10
Median Retweets
99
Tweets Analyzed
$125$500per sponsored post

Based on 40.1K followers · 0.37% engagement

Next step

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

Your post rate

$125-$500

What Snippet does next

Comes next

Find brands

Brands that already pay twitter creators and fit your audience.

Write emails

Use @elikrypt's $125-$500 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 @elikrypt's twitter audience is a fit and ask for $125-$500 per post.

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Next steps

What to fix next

Simple fixes that can help brands take you more seriously.

Move 01

Convert Replies Into Likes With Threads

Their median replies (113.0) vastly outpace their median likes (27.0) and retweets (10.0), signaling that their content sparks conversation but fails to convert passive readers into active engagers.

Details

Restructure their highest-reply tweets into multi-part threads to force scroll-through behavior and accumulate likes at each node — this directly targets their 0.37% ER, which sits below the 1-3% micro-tier benchmark. Thread formats also command 2-3x standard sponsorship rates, pushing their current $125-$500 per post deal value significantly higher.

Move 02

Leverage Your Reply Volume For Brand Pitches

Since 73% of brands prioritize engagement rate over follower count, their below-benchmark 0.37% ER is their biggest liability in sponsorship negotiations — but their median reply count of 113.0 is a concrete counter-narrative that proves genuine audience conversation.

Details

When pitching brands, lead with reply volume as a proxy for community depth rather than their raw 40,143 follower count or overall ER. Target B2B, tech, and finance brands specifically, as X is identified as the strongest platform for those niches, making their conversational audience more monetizable in those verticals.

Move 03

Optimize Like-To-Retweet Ratio For Algorithmic Reach

Their like-to-retweet ratio of 1.2:1 means their content is being reshared almost as often as it is liked, which indicates their audience finds it share-worthy but not personally resonant enough to double-tap without redistributing.

Details

To close this gap and push their ER toward the 1-3% micro-tier benchmark, end each tweet with a direct, opinion-soliciting question or a bold declarative statement that rewards a like as a signal of agreement rather than just a retweet for sharing. Increasing median likes from 27.0 closer to their median reply count of 113.0 would materially lift their overall engagement rate across their analyzed 99 tweets.

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ΞLIKRYPTO's Twitter/X Engagement Rate: 0.37%