Tim Ryan
Proud dad and husband, Ohio native, die-hard Browns fan.
294,330
Followers
2,132
Following
11,445
Tweets
2,541.4
Avg Engagement
1,504
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TimRyan'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:2012-01-17
- Verification:No
- Location:Warren, Ohio
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:1,991.0
- Avg Retweets per Tweet:550.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,249 tweetsTim Ryan's tweets typically receive high engagement, with an average of 71,280 likes and 15,356 retweets per post. This indicates a strong and active community interacting with his content.
1,991.0
Avg Likes/Tweet
550.4
Avg Retweets/Tweet
6,468,611
Total Likes
1,788,389
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
502
Median Likes
146
Median Retweets
1,759
75th Percentile
173,411
Top Tweet
8.63
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
67.6%
Original
21.4%
Replies
3.7%
Retweets
7.3%
Quotes
0.0%
Threads
0.0%
With Media
71.0%
With Links
8.2%
With #Tags
18.7%
With @Mentions
9.0%
With Emojis
192
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.32
Reply/Original Ratio
1.97
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
82.9%
Weekday Posts
17.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 121 retweets (4% 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 3,249 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 followersHis audience primarily consists of Ohio residents and political supporters interested in local and national issues. The engagement suggests a mix of supporters and critics, with a notable presence of political discourse.
Average
Audience Quality
22.1%
Suspicion Index
25.4%
Low-Quality %
69
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.7%
Empty Bio
14.7%
<10 Tweets
18.5%
Mass Following (>2K)
0.0%
New (<90 days)
45.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.8%
No URL
9.0%
<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.
82,090,566
Total Potential Reach
69
Median Follower Reach
294
75th Percentile Reach
10.7%
>1K followers
1.2%
>10K followers
0.3%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
69.2%
Creators
34,576 accounts
16.1%
Consumers
8,066 accounts
14.7%
Dormant
7,358 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):
1,352
Verified Followers
1.35% of total
10,494
Protected Accounts
10.49% of total
7 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 |
|---|---|---|---|
| @JohnCena | 14,103,256 | Wrestler | Wrestling, Motivation, Self-promotion |
| @johnlegend | 13,620,604 | Singer | Music, Family, Wine |
| @AOC | 13,429,270 | Politician | politics, social justice, equality |
| @jimmykimmel | 11,648,728 | Comedian | Comedy, TV, Bowling |
| @MarkHamill | 5,285,936 | Actor | Star Wars, Believe, Humor |
| @itsgabrielleu | 4,437,382 | Actress | fashion, beauty, fitness |
| @JimGaffigan | 3,106,796 | Comedian | Comedy, Touring, Family |
| @kumailn | 3,013,791 | Comedian | comedy, acting, writing |
| @ProjectLincoln | 2,743,120 | Political Strategist | Politics, Activism, Leadership |
| @robreiner | 2,225,883 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
61,578
Followers With Bio
38,422
Followers Without Bio
61.58%
% With Bio
38.42%
% 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 3,249 analyzed557,975
Combined Engagement
466,035
Total Likes
91,940
Total Retweets
111,595
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
0%
With @Mentions
60%
With Links
Topical Analysis:
We left it all on the field. https://t.co/1B9t539jz5
I hope I made you proud tonight. RT if you’re ready to beat JD Vance and flip Ohio blue.
I’m going to beat JD Vance in November. RT if you’re with me.
You know what I haven’t done? I didn’t start a fake non-profit pretending I was going to help people with addiction like JD Vance did. #OHSenDebate https://t.co/WhyUMQBKCJ
Yikes. #OHSenDebate https://t.co/Mo9N6U2L06
Key Insights & Takeaways
His tweets often highlight personal values and community service, reflecting his identity as a dad and husband. He frequently engages in political debates, particularly with figures like JD Vance, showing a strategic focus on key races. His use of hashtags and calls to action suggests an effort to mobilize support and drive political engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 294,330
- + 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 @TimRyan reveals an exceptionally influential Twitter presence with 294,330 followers. The account demonstrates a content-creator strategy, averaging 2,541.4 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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