Taylor Gabriel
Official Twitter of Taylor Gabriel Chicago Bears wide receiver #18. https://www.taylorgabriel18.com/
50,405
Followers
649
Following
6,499
Tweets
418.5
Avg Engagement
226
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TGdadon1'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:2010-06-12
- Verification:No
- Location:Dallas , Texas
Data Summary
- Tweets Analyzed:3,161
- Avg Likes per Tweet:242.1
- Avg Retweets per Tweet:176.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,161 tweetsHis tweets receive a high number of likes and retweets, indicating strong support from his followers and the broader fanbase.
242.1
Avg Likes/Tweet
176.4
Avg Retweets/Tweet
765,126
Total Likes
557,688
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
19
Median Likes
4
Median Retweets
200
75th Percentile
113,260
Top Tweet
8.3
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
34.0%
Original
45.9%
Replies
15.0%
Retweets
5.0%
Quotes
0.0%
Threads
0.1%
With Media
31.6%
With Links
28.6%
With #Tags
69.1%
With @Mentions
24.9%
With Emojis
70
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.35
Reply/Original Ratio
0.33
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.9%
Weekday Posts
26.1%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 3,161 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 475 retweets (15% 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 3,161 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 audience primarily consists of Chicago Bears fans and sports enthusiasts who follow his career progression and personal milestones.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
61
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)
88.4%
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.
10,456,366
Total Potential Reach
61
Median Follower Reach
215
75th Percentile Reach
5.6%
>1K followers
0.7%
>10K followers
0.2%
>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).
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
1,054
Protected Accounts
10.54% 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 |
|---|---|---|---|
| @thereallisaann | 2,030,046 | Sports Bettor | Fantasy Sports, Sports Betting, Podcast |
| @EAMaddenNFL | 1,021,830 | Gaming | Gaming, Madden NFL, Tech Support |
| @TayeDiggs | 639,881 | Actor | acting, chocolate, hosting |
| @mkraju | 635,494 | Journalist | Politics, Chicago sports, Wisconsin Badgers |
| @Bridget | 486,654 | Podcaster | Reality TV, Beaches, Paranormal |
| @Moreno | 429,586 | Influencer | Business, Manager, Serious |
| @SarahSpain | 265,166 | Sports Commentator | Sports, Chicago, Cornell |
| @joelpollak | 236,513 | Journalist | Politics, News, Opinion |
| @nflrums | 230,349 | Sports News | NFL, Rumors, News |
| @KloutKiki | 196,798 | Adult entertainer | XBIZ, LA, Modeling |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,351
Followers With Bio
3,649
Followers Without Bio
63.51%
% With Bio
36.49%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,161 analyzed252,301
Combined Engagement
20,917
Total Likes
231,384
Total Retweets
50,460
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
RT @RexChapman: Genesee County Sheriff (Flint, Michigan) Chris Swanson put down his helmet and baton and asked protesters how he could help. The protesters chanted "walk with us" so the Sheriff joined — and walked alongside the protesters in solidarity. Leadership.🌎❤️ https://
RT @PubbyLongway: that boy john done transferred schools on these folks!😂😂😂 https://t.co/elvcbsu6lv
RT @LILCOREY_TRILL: BEEN IN THIS CHAIR FOR 8 YEARS. MY MOTHER IS HAPPY TO SEE ME STAND UP. NO MATTER WHAT I WILL WALK AGAIN. EVERYONE RETWEET IF YOU HAVE FAITH IN ME WALKING AGAIN. MY INSTAGRAM IS COREYBORNER24 https://t.co/PwDrpDNL1T
Thank U Chi-Town https://t.co/cgYdaUIuzI
RT @1RealMir: Just in case 👀 https://t.co/qRNH5MrPNe
Key Insights & Takeaways
He frequently expresses gratitude towards his city and fans, highlighting the importance of community support. He shares personal milestones and career updates, which helps maintain audience interest and connection. His use of hashtags like #Tryout and #Bea indicates a focus on perseverance and team spirit.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 50,405
- + 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 @TGdadon1 reveals an well-established Twitter presence with 50,405 followers. The account demonstrates a conversation-first approach, averaging 418.5 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.
Need Programmatic Access?
We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.
Register Interest for API Access