Tone Digs
All seriousness aside. Covid Cowboy. Enjoy bad QB play. @HammerDahn M-F 4PM Youtube, Pat McAfee Show from 12-3 M-F YouTube
203,829
Followers
1,894
Following
40,436
Tweets
584.3
Avg Engagement
517
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ToneDigz'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:2010-02-18
- Verification:No
- Location:Pittsburgh - Indy
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:239.1
- Avg Retweets per Tweet:345.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,249 tweetsHis tweets typically receive a high number of likes and retweets, indicating a strong and active audience. The engagement suggests that his content resonates well with followers and encourages interaction.
239.1
Avg Likes/Tweet
345.2
Avg Retweets/Tweet
776,864
Total Likes
1,121,683
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
13
Median Retweets
396
75th Percentile
275,555
Top Tweet
2.87
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
27.8%
Original
16.6%
Replies
45.3%
Retweets
10.3%
Quotes
0.0%
Threads
0.1%
With Media
46.0%
With Links
20.6%
With #Tags
63.5%
With @Mentions
21.2%
With Emojis
88
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.6
Reply/Original Ratio
0.23
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.5%
Weekday Posts
29.5%
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 1,473 retweets (45% 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 includes sports fans, especially those interested in football and the NFL, as well as individuals who appreciate humor and personal storytelling. The audience is likely male, given the sports-centric nature of his content.
Average
Audience Quality
23.1%
Suspicion Index
32.4%
Low-Quality %
27
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.9%
Empty Bio
24.4%
<10 Tweets
6.1%
Mass Following (>2K)
0.0%
New (<90 days)
50.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.1%
No URL
16.0%
<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.
37,516,670
Total Potential Reach
27
Median Follower Reach
138
75th Percentile Reach
2.7%
>1K followers
0.4%
>10K followers
0.1%
>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).
53.9%
Creators
26,961 accounts
21.7%
Consumers
10,856 accounts
24.4%
Dormant
12,183 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):
735
Verified Followers
0.73% of total
10,600
Protected Accounts
10.5% of total
6 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 | 14,100,323 | Wrestler | Wrestling, Motivation, Self-promotion |
| @mortreport | 2,214,603 | Sports Journalist | Jesus, Family, Cancer |
| @MichelleDBeadle | 1,362,991 | Sports Commentator | Sports, Entertainment, Pop Culture |
| @MatthewBerryTMR | 1,159,034 | Fantasy Analyst | Fantasy Football, Author, Avengers |
| @LeBronJames | 1,000,964 | - | - |
| @wingoz | 991,976 | Sports Analyst | Sports, Podcasting, Quarterbacks |
| @MichaelCole | 814,513 | Wrestling Commentator | WWE, Smackdown, CBS |
| @Pirates | 800,328 | Sports Team | Baseball, Pittsburgh, Social media |
| @JOEL9ONE | 638,514 | Podcaster | Football, Podcasting, Hydration |
| @heykayadams | 585,662 | Sports Analyst | sports, football, fantasy sports |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
54,068
Followers With Bio
46,931
Followers Without Bio
53.53%
% With Bio
46.47%
% 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 3,249 analyzed402,884
Combined Engagement
0
Total Likes
402,884
Total Retweets
80,577
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @VancityReynolds: Hard keeping my mouth sewn shut about this one. ⚔️ https://t.co/OdV7JmAkEu
RT @1kalwaysopen_: First off congratulations. Y’all deserve it .This is lame. You was on the way out the league before mahomes resurrected…
RT @elonmusk: Twitter added 1.6M daily active users this past week, another all-time high https://t.co/Si3cRYnvyD
RT @HamlinIsland: From The Heart ♥️. -Sincerely 3💕🫶🏾! Full video: https://t.co/cmLCEZwRA4 https://t.co/6zvTDg7h1W
RT @PatMcAfeeShow: He’s a College Football National Champion A Super Bowl Champion A Ryder Cup Champion A Covid Survivor AND NOW… @Officia…
Key Insights & Takeaways
He often shares personal and emotional reflections on sports experiences, which creates a deep connection with his audience. His content includes a mix of humor and sincerity, making it relatable and engaging. He frequently interacts with other sports personalities and fans, which helps maintain a sense of community.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 203,829
- + 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 @ToneDigz reveals an well-established Twitter presence with 203,829 followers. The account demonstrates a content-creator strategy, averaging 584.3 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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