Cody Garbrandt
https://t.co/mUjd2NHsGM
359,946
Followers
1,949
Following
24,854
Tweets
340.8
Avg Engagement
1,172
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Cody_Nolove'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:2011-07-13
- Verification:No
- Location:Sacramento,California
Data Summary
- Tweets Analyzed:3,041
- Avg Likes per Tweet:243.2
- Avg Retweets per Tweet:97.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,041 tweetsCody_Nolove's tweets consistently receive high engagement, indicating a loyal and active audience. His content resonates well with followers, likely due to its personal and relatable nature.
243.2
Avg Likes/Tweet
97.6
Avg Retweets/Tweet
739,613
Total Likes
296,874
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
1
Median Retweets
10
75th Percentile
100,219
Top Tweet
0.95
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
40.2%
Original
23.5%
Replies
31.8%
Retweets
4.4%
Quotes
0.0%
Threads
1.6%
With Media
27.0%
With Links
25.3%
With #Tags
77.5%
With @Mentions
11.2%
With Emojis
88
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.58
Reply/Original Ratio
0.14
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.7%
Weekday Posts
33.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,041 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 966 retweets (32% 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 3,041 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 MMA fans and followers interested in athlete experiences and sports culture. The engagement suggests a strong connection with fans who appreciate authenticity and transparency.
Average
Audience Quality
34.2%
Suspicion Index
43.7%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
54.1%
Empty Bio
46.2%
<10 Tweets
4.4%
Mass Following (>2K)
0.0%
New (<90 days)
78.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.5%
No URL
33.4%
<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.
25,543,127
Total Potential Reach
7
Median Follower Reach
31
75th Percentile Reach
1.4%
>1K followers
0.2%
>10K followers
0.1%
>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).
30.3%
Creators
15,133 accounts
23.5%
Consumers
11,744 accounts
46.2%
Dormant
23,123 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):
454
Verified Followers
0.45% of total
8,919
Protected Accounts
8.83% of total
4 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 | 14,103,709 | Wrestler | Wrestling, Motivation, Self-promotion |
| @junior_cigano | 1,284,481 | Fighter | Fighting, Advertisements, Publicity |
| @bakermayfield | 844,582 | Athlete | Headbands, Justin Timberlake, Believe |
| @ForrestGriffin | 729,402 | Athlete | MMA, UFC, Comedy |
| @PleasureEllis | 685,939 | Entertainer | Music, Transformation, Celebration |
| @IamMzilikazi | 546,560 | Musician | Pan-African music, Album, Rise |
| @Reflog_18 | 538,013 | - | - |
| @Showtimepettis | 496,899 | MMA Fighter | Fighting, Fatherhood, Business |
| @Retro_Utd | 453,581 | Football Fan | Football, Manchester United, Activism |
| @Moreno | 430,303 | Influencer | Business, Manager, Serious |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
49,615
Followers With Bio
51,383
Followers Without Bio
49.12%
% With Bio
50.88%
% 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 3,041 analyzed218,352
Combined Engagement
74,852
Total Likes
143,500
Total Retweets
43,670
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
60%
With @Mentions
40%
With Links
Topical Analysis:
RT @LaurenLondon: #LONGLIVENIP #TMC
RT @Canelo: 4 X WORLD CHAMPION 🏆🏆🏆🏆 https://t.co/TOOV5nuLDB
All of my losses are from Fighters that have popped for PEDs @ufc @usantidoping I can stand behind this when I say I’ll always be a drug free athlete, #1 reason is the believe I have in myself. #2 I respect the game 💯Twitter rant over y’all have a good day ❤️
Let’s make this clear I’m not saying my losses are a direct result of PED convicted fighters. I also fought like a dumb ass 😂😂
Your whole squad would get fucked up. You beat a guy that can’t box in boxing. Why won’t you come to the cage.? Cause your a pussy so is your whole squad. I’d give up 50 lbs to you and knock that toupee’ off your fuckin head. You’ll be expose soon. https://t.co/Iw2ndNEFvn
Key Insights & Takeaways
Cody_Nolove openly discusses his losses and attributes them to fighters who have used performance-enhancing drugs, highlighting his stance against doping. He emphasizes his commitment to being a drug-free athlete, which aligns with his personal values and public image. His use of humor and self-deprecation helps to connect with his audience on a more personal level.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 359,946
- + 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 @Cody_Nolove reveals an well-established Twitter presence with 359,946 followers. The account demonstrates a content-creator strategy, averaging 340.8 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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