Benjamin Allbright
Host, reporter at the Broncos flagship. Broncos insider @KOAColorado Inquiries: [email protected]
179,418
Followers
1,872
Following
143,503
Tweets
182.8
Avg Engagement
2,502
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @AllbrightNFL'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:2010-08-27
- Verification:No
- Location:Denver, Colorado
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:37.6
- Avg Retweets per Tweet:145.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,248 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction and interest in his content.
37.6
Avg Likes/Tweet
145.1
Avg Retweets/Tweet
122,267
Total Likes
471,358
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
56
75th Percentile
108,339
Top Tweet
1.02
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
4.2%
Original
58.4%
Replies
23.8%
Retweets
13.5%
Quotes
0.0%
Threads
0.1%
With Media
19.9%
With Links
7.3%
With #Tags
83.3%
With @Mentions
2.0%
With Emojis
118
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
13.75
Reply/Original Ratio
0.57
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
78.8%
Weekday Posts
21.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 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 773 retweets (24% 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 3,248 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 NFL fans, particularly those interested in the Broncos and other major teams.
Average
Audience Quality
25.3%
Suspicion Index
31.7%
Low-Quality %
30
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.2%
Empty Bio
31.7%
<10 Tweets
9.6%
Mass Following (>2K)
0.0%
New (<90 days)
51.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.4%
No URL
21.2%
<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.
41,093,198
Total Potential Reach
30
Median Follower Reach
146
75th Percentile Reach
4.8%
>1K followers
0.6%
>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).
46.9%
Creators
23,460 accounts
21.4%
Consumers
10,695 accounts
31.7%
Dormant
15,845 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):
1,141
Verified Followers
1.13% of total
9,305
Protected Accounts
9.21% of total
5 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 | 14,100,769 | Wrestler | Wrestling, Motivation, Self-promotion |
| @RapSheet | 4,035,923 | Sports Journalist | NFL, Insider, Husband |
| @laurenboebert | 2,420,687 | Politician | Congress, Shooters Grill, Guns |
| @RexChapman | 1,254,363 | Commentator | Basketball, Horse racing, Commentary |
| @WhistleBlitz | 1,153,903 | - | - |
| @kilmeade | 806,612 | Journalist | News, Politics, History |
| @chefsymon | 691,337 | Chef | cooking, grilling, sports |
| @PleasureEllis | 685,209 | Entertainer | Music, Transformation, Celebration |
| @AliVelshi | 679,734 | Journalist | News, Politics, Journalism |
| @MySportsUpdate | 657,373 | Sports Reporter | Football, NFL, Coverage |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
62,117
Followers With Bio
38,877
Followers Without Bio
61.51%
% With Bio
38.49%
% 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 3,248 analyzed202,311
Combined Engagement
0
Total Likes
202,311
Total Retweets
40,462
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @Brieyonce: Allow me to introduce you to the most ridiculous yet amazing thing you will see this week. https://t.co/MHlGmz9Ph2
RT @ScottSeiss: “Here’s what you need to know before you see Cocaine Bear” https://t.co/bt512SX0Fs
RT @TuckerCarlson: The bitches set me up.
RT @CarterCenter: https://t.co/1auzIG0yqy https://t.co/JJQMWgg8DW
RT @KingJames: Welp guess my blue ✔️ will be gone soon cause if you know me I ain’t paying the 5. 🤷🏾♂️
Key Insights & Takeaways
He often highlights controversial or humorous takes on NFL topics, such as the absurdity of certain team actions. He provides balanced commentary on game outcomes, acknowledging both sides of a situation. He frequently engages with fans and industry insiders, offering behind-the-scenes perspectives.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 179,418
- + 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 @AllbrightNFL reveals an well-established Twitter presence with 179,418 followers. The account demonstrates a conversation-first approach, averaging 182.8 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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