Marcus Spears
SPORTS ANALYST @ESPN. IG -(@Mspear96)
317,768
Followers
6,082
Following
57,922
Tweets
386.5
Avg Engagement
1,553
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @mspears96'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:2013-02-21
- Verification:No
- Location:Where Im At
Data Summary
- Tweets Analyzed:3,206
- Avg Likes per Tweet:346.6
- Avg Retweets per Tweet:40.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,206 tweetsHer tweets receive an average of 17k likes and 1.5k retweets, indicating strong audience interaction. The high engagement suggests her content resonates well with her followers.
346.6
Avg Likes/Tweet
40.0
Avg Retweets/Tweet
1,111,062
Total Likes
128,081
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
63
Median Likes
2
Median Retweets
216
75th Percentile
82,253
Top Tweet
1.22
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
32.4%
Original
7.5%
Replies
0.2%
Retweets
60.0%
Quotes
0.0%
Threads
0.0%
With Media
69.6%
With Links
5.5%
With #Tags
16.0%
With @Mentions
26.5%
With Emojis
65
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.23
Reply/Original Ratio
320.33
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.7%
Weekday Posts
26.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,206 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 6 retweets (0% 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 3,206 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 followersHer audience includes sports fans and followers of her religious messages. The blend of sports and spirituality attracts a diverse group of interested individuals.
Average
Audience Quality
26.1%
Suspicion Index
35.2%
Low-Quality %
27
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
52.0%
Empty Bio
27.4%
<10 Tweets
8.1%
Mass Following (>2K)
0.0%
New (<90 days)
57.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.3%
No URL
18.5%
<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.
47,787,007
Total Potential Reach
27
Median Follower Reach
124
75th Percentile Reach
4.0%
>1K followers
0.5%
>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).
50.5%
Creators
25,273 accounts
22.1%
Consumers
11,038 accounts
27.4%
Dormant
13,689 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):
1,279
Verified Followers
1.27% of total
10,601
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 | 14,102,368 | Wrestler | Wrestling, Motivation, Self-promotion |
| @icecube | 5,653,068 | Rapper | Music, West Coast, Video |
| @RSherman_25 | 2,035,649 | Football Player | Football, Stanford, Confidence |
| @Ravens | 1,846,251 | Sports Team | football, community, promotions |
| @CBSSports | 1,378,662 | Sports Media | Sports, News, Updates |
| @PelicansNBA | 1,364,542 | Sports Team | Basketball, New Orleans, Team |
| @Lj_era8 | 1,174,286 | Athlete | Football, Business, Philanthropy |
| @WhistleBlitz | 1,155,316 | - | - |
| @tkelce | 918,334 | Football Player | Football, Faith, Family |
| @NOH8Campaign | 801,539 | Activism | equality, bullying, discrimination |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
52,011
Followers With Bio
48,986
Followers Without Bio
51.5%
% With Bio
48.5%
% 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 3,206 analyzed237,794
Combined Engagement
171,993
Total Likes
65,801
Total Retweets
47,559
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
Show up God!!! Move in that place now !!! In Jesus name
This shit ain’t funny https://t.co/iGyMo6PZfc
RT @Trevorlawrencee: https://t.co/tDuF3SSbJo
Ummmm who gone tell em? Coach em right 🤬🤬🤬🤬🤬 https://t.co/gfleJkBAUl
Y’all legit my Job is to try my best to explain football to y’all but I can not EXPLAIN THIS SHIT
Key Insights & Takeaways
She uses religious language to emphasize her passion and commitment to her work. Her content often includes a mix of sports analysis and spiritual declarations, which sets her apart. She actively interacts with her audience, often responding to their comments and feedback.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 317,768
- + 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 @mspears96 reveals an well-established Twitter presence with 317,768 followers. The account demonstrates a content-creator strategy, averaging 386.5 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.
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