ryan kelley
Smile. It's not so bad..
435,484
Followers
228
Following
3,969
Tweets
902.4
Avg Engagement
703
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @the_ryan_kelley's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.
Account Classification
- Account Size: Macro Influencer (100K+)
- Account Age:2010-08-20
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:3,165
- Avg Likes per Tweet:672.9
- Avg Retweets per Tweet:229.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,165 tweetsTheir tweets receive high engagement, with an average of 2,826 retweets, suggesting a highly interactive and loyal fan base.
672.9
Avg Likes/Tweet
229.5
Avg Retweets/Tweet
2,129,678
Total Likes
726,260
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
229
Median Likes
71
Median Retweets
1,168
75th Percentile
22,463
Top Tweet
2.07
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
56.3%
Original
32.2%
Replies
10.9%
Retweets
0.5%
Quotes
0.0%
Threads
1.8%
With Media
49.2%
With Links
40.7%
With #Tags
53.9%
With @Mentions
12.6%
With Emojis
71
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.57
Reply/Original Ratio
0.05
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.0%
Weekday Posts
27.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,165 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 346 retweets (11% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.
Posting Patterns & Optimal Timing
Based on 3,165 tweetsEngagement by Hour (UTC)
Posting Frequency Over Time
Timing Insights
Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.
Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.
Audience Demographics
Based on 50,000 followersThe audience appears to be young and interested in pop culture, particularly teen-oriented content and humor.
Below Average
Audience Quality
36.0%
Suspicion Index
46.4%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
47.6%
Empty Bio
58.2%
<10 Tweets
3.0%
Mass Following (>2K)
0.0%
New (<90 days)
78.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.8%
No URL
45.3%
<3 Tweets
Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
7,182,246
Total Potential Reach
2
Median Follower Reach
14
75th Percentile Reach
1.2%
>1K followers
0.1%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
22.8%
Creators
11,386 accounts
19.0%
Consumers
9,506 accounts
58.2%
Dormant
29,108 accounts
Follower Influence Distribution
How many followers do their followers have?
Follower Account Age
How long have followers been on Twitter?
Geographic Distribution
Top locations where followers are based (from those who share location data):
59
Verified Followers
0.06% of total
10,755
Protected Accounts
10.76% of total
3 years
Avg Account Age
of their followers
Notable Followers (By Influence)
Top accounts following this user, sorted by their follower count:
| Username | Followers | Profession | Interests |
|---|---|---|---|
| @ColtonLHaynes | 1,805,071 | Actor | acting, fashion, activism |
| @THE_THEO_FORD | 469,580 | - | - |
| @paramountplus | 361,020 | Streaming | Live Sports, Breaking News, Entertainment |
| @KimMangone | 251,826 | Engineer | Single Mom, USAF Vet, Engineer |
| @darcydonavan | 240,457 | Actress | Acting, Music, Producing |
| @AlertTrade | 224,070 | Trading | Trade Alerts, Trade Ideas, Crypto |
| @michaelrosenbum | 184,409 | Actor | Superman, Podcasting, Music |
| @MatthewLush | 160,769 | Entrepreneur | entrepreneur, romantic, love |
| @Chicago_History | 120,525 | Historian | Chicago, History, Beer |
| @balmace | 119,182 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
53,267
Followers With Bio
46,733
Followers Without Bio
53.27%
% With Bio
46.73%
% Without Bio
Why Audience Demographics Matter
Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.
Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.
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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,165 analyzed80,001
Combined Engagement
36,640
Total Likes
43,361
Total Retweets
16,000
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
Oh M Gee..He touched me! I'm never taking a shower!!! https://t.co/GI8QW7U503
RT @MTVteenwolf: New time, new night. January 5th at 9/8c. Don't miss it. #TeenWolf https://t.co/GLX9i2ar87
It all ends tomorrow.. woah https://t.co/s5WeGI9Tie
Getting ready for tonight #TeenWolf https://t.co/MC6WJPd2NA
RT @chrisjenko: Reload speed of a musket, the gun used when the 2nd Amendment was written. 1 shot every 15-20secs. Think on it. #mandalay…
Key Insights & Takeaways
The user frequently shares personal and humorous experiences, which likely contribute to their high engagement. Their content often includes links to media, indicating a focus on entertainment and relatability. They use hashtags and trending topics, which helps in increasing visibility and reach.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 435,484
- + Strong original content creation
- + Active presence with consistent posting
Opportunities
- ~ Optimize posting times for peak engagement windows
- ~ Analyze top-performing content for replicable patterns
- ~ Leverage geographic concentration for targeted content
- ~ Explore collaboration potential with followed accounts
Summary
This analysis of @the_ryan_kelley reveals an well-established Twitter presence with 435,484 followers. The account demonstrates a content-creator strategy, averaging 902.4 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.
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