Danny Kelly
Senior staff writer @Ringer | Co-host the Ringer Fantasy Football Show & Ringer NFL Draft Show
60,121
Followers
1,630
Following
67,118
Tweets
328.4
Avg Engagement
2,009
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DannyBKelly'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: Mid-Tier (10K+)
- Account Age:2016-05-17
- Verification:No
- Location:Seattle, WA
Data Summary
- Tweets Analyzed:3,237
- Avg Likes per Tweet:19.7
- Avg Retweets per Tweet:308.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,237 tweetsHis tweets typically receive a high number of likes, averaging around 1,473, but retweets are relatively low, averaging 95. This suggests a loyal fanbase that engages through likes rather than sharing.
19.7
Avg Likes/Tweet
308.7
Avg Retweets/Tweet
63,829
Total Likes
999,300
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
2
Median Retweets
50
75th Percentile
68,662
Top Tweet
5.46
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
6.0%
Original
38.4%
Replies
48.6%
Retweets
7.0%
Quotes
0.0%
Threads
0.1%
With Media
37.9%
With Links
7.5%
With #Tags
86.5%
With @Mentions
8.6%
With Emojis
120
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
6.37
Reply/Original Ratio
0.14
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
82.8%
Weekday Posts
17.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,237 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 1,574 retweets (49% 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 3,237 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 10,000 followersHis followers are primarily sports enthusiasts, especially those interested in fantasy football and NFL drafts. The audience is likely male, with a strong interest in football strategy and player performance.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
63
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.4%
No URL
100.0%
<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.
27,705,546
Total Potential Reach
63
Median Follower Reach
217
75th Percentile Reach
7.3%
>1K followers
1.7%
>10K followers
0.5%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
1,275
Protected Accounts
12.75% 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 | 14,090,556 | Wrestler | Wrestling, Motivation, Self-promotion |
| @LeBronJames | 926,391 | - | - |
| @AlbertBreer | 613,309 | Sports Journalist | NFL, sports, journalism |
| @ryenarussillo | 560,969 | Podcaster | Sports, Podcasting, Formula 1 |
| @IamMzilikazi | 554,958 | Musician | Pan-African music, Album, Rise |
| @Reflog_18 | 553,926 | - | - |
| @Michael_Fabiano | 512,196 | Fantasy Analyst | Fantasy Football, Yankees, Cowboys |
| @YahooFantasy | 385,732 | Sports Media | Fantasy sports, leagues, fun |
| @NBATopShot | 268,994 | Sports Tech | Basketball, Blockchain, Collectibles |
| @KingJosiah54 | 268,114 | Content Creator | Netflix, Fubo, Wave TV |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,715
Followers With Bio
4,285
Followers Without Bio
57.15%
% With Bio
42.85%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,237 analyzed301,518
Combined Engagement
0
Total Likes
301,518
Total Retweets
60,304
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @atdanwhite: This is why I drive a Toyota. https://t.co/1PA0HskjNc
RT @Tweet_Dec: Happy 6th anniversary to the greatest moment in the history of the internet https://t.co/QYAunxfrUR
RT @HenpeckedHal: My 22 year old cousin met his dream girl at a bar and it's going pretty well https://t.co/ZrHB8rYuoV
RT @HumansNoContext: https://t.co/7O63bGPKJv
RT @BuffaloBills: https://t.co/4Fyd2JZVLb
Key Insights & Takeaways
He often uses humor and pop culture references to make his content relatable and engaging. His tweets frequently highlight player performance and team dynamics, especially in the NFL. He has a knack for making complex sports topics accessible and entertaining to a broad audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 60,121
- + High community engagement through conversations
- + 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 @DannyBKelly reveals an well-established Twitter presence with 60,121 followers. The account demonstrates a conversation-first approach, averaging 328.4 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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