B/R Gridiron
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856,544
Followers
1,381
Following
88,235
Tweets
1,278.6
Avg Engagement
4,446
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @brgridiron'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:2009-04-27
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:945.5
- Avg Retweets per Tweet:333.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account consistently receives high engagement, with an average of 22,701 likes and 1,796 retweets per tweet. This indicates a strong and loyal fan base interested in football content.
945.5
Avg Likes/Tweet
333.0
Avg Retweets/Tweet
3,072,998
Total Likes
1,082,388
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
259
Median Likes
103
Median Retweets
1,389
75th Percentile
51,398
Top Tweet
1.49
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
56.0%
Original
2.1%
Replies
40.2%
Retweets
1.8%
Quotes
0.0%
Threads
0.1%
With Media
88.5%
With Links
0.8%
With #Tags
66.9%
With @Mentions
50.3%
With Emojis
101
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.04
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
69.4%
Weekday Posts
30.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 1,307 retweets (40% 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 3,250 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 is likely sports enthusiasts, especially football fans, given the content focus. The account's engagement suggests a dedicated and active following.
Average
Audience Quality
34.6%
Suspicion Index
50.0%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
59.7%
Empty Bio
52.6%
<10 Tweets
4.0%
Mass Following (>2K)
0.0%
New (<90 days)
69.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.5%
No URL
40.3%
<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.
9,121,484
Total Potential Reach
7
Median Follower Reach
36
75th Percentile Reach
1.5%
>1K followers
0.2%
>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).
26.2%
Creators
13,123 accounts
21.2%
Consumers
10,601 accounts
52.6%
Dormant
26,276 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):
614
Verified Followers
0.61% of total
9,098
Protected Accounts
9.01% 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 |
|---|---|---|---|
| @SinghLions | 1,335,096 | Restaurateur | Food, Travel, Influencer |
| @Colts | 1,226,141 | Sports Team | Football, Indianapolis, Fan |
| @WhistleBlitz | 1,156,485 | - | - |
| @ClemsonFB | 1,037,566 | Football Team | Football, National Champs, Tigers |
| @Ky1eLong | 353,702 | Athlete | Sim Racing, PC Gaming, Mountain Appreciation |
| @DilfersDimes | 332,616 | Football Coach | Football, Coaching, Leadership |
| @WhaleCoinTalk | 318,906 | - | - |
| @NejireeKun | 254,201 | Gamer | apex, anime, Lisa BP |
| @_Lolobe4 | 194,315 | Influencer | Fashion, Fitness, Travel |
| @ClutchPointsApp | 166,650 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
41,600
Followers With Bio
59,396
Followers Without Bio
41.19%
% With Bio
58.81%
% 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 3,250 analyzed152,383
Combined Engagement
141,918
Total Likes
10,465
Total Retweets
30,477
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
Todd Gurley, a 2-time All-Pro RB, announced his retirement from football after six seasons in the NFL https://t.co/OduQoqlyxL
Who's hungry? 😅😳 https://t.co/5Zw9beqrpy
OL appreciation post: KC's offensive line just pitched a shutout against the best pass rush in the NFL. 0 sacks allowed 👏 https://t.co/x1zgXUl9nC
Giants and Jets' MetLife Stadium will replace its current turf with artificial grass in 2023, per @JordanRaanan https://t.co/Zj5AIbVDVS
Justin Jefferson did not hold back 😮 https://t.co/m3ZrSj39Yb
Key Insights & Takeaways
The account frequently shares news about NFL players and teams, indicating a focus on current events and player updates. It uses humor and casual language in some tweets, which may help in building a relatable and engaging audience. The account highlights key moments and achievements, such as game performances and player retirements, which can drive interest and interaction.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 856,544
- + 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 @brgridiron reveals an exceptionally influential Twitter presence with 856,544 followers. The account demonstrates a content-creator strategy, averaging 1,278.6 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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