Takeo Spikes, M.B.A

Takeo Spikes, M.B.A

@TakeoSpikes51

15-year NFL vet. Public Speaker, @SECNetwork Analyst, Executive Producer/Host @thebtmpodcast. Bringing You The Entertaining Truth IG: @TakeoSpikes51 #WDE 🦅

Atlanta, NYC https://www.thebtmpodcast.com/home Joined 2009-05-29 Date of Analysis: Dec 16, 2025

302,328

Followers

1,335

Following

18,114

Tweets

173.4

Avg Engagement

2,287

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @TakeoSpikes51'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:2009-05-29
  • Verification:No
  • Location:Atlanta, NYC

Data Summary

  • Tweets Analyzed:3,246
  • Avg Likes per Tweet:22.6
  • Avg Retweets per Tweet:150.8
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,246 tweets

TakeoSpikes51's tweets typically receive around 2,000 likes and 150 retweets on average, indicating a highly engaged and loyal fan base. His content often sparks conversations and shares, especially around sports events and personal milestones.

22.6

Avg Likes/Tweet

150.8

Avg Retweets/Tweet

73,328

Total Likes

489,656

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

2

Median Likes

1

Median Retweets

16

75th Percentile

67,136

Top Tweet

0.57

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

33.1%

Original

25.5%

Replies

26.9%

Retweets

14.4%

Quotes

0.0%

Threads

0.3%

With Media

50.3%

With Links

36.5%

With #Tags

80.5%

With @Mentions

37.9%

With Emojis

132

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.77

Reply/Original Ratio

0.54

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

72.7%

Weekday Posts

27.3%

Weekend Posts

Top Hashtags

#nfl (297) #49ers (40) #superbowl (37) #billsmafia (37) #nba (36) #behindthemaskpodcast (32) #wareagle (32) #behindthemaskmoment (31) #whodey (30) #nflplayoffs (29)

Most Mentioned

@thebtmpodcast (775) @tutanreyes (519) @takeospikes51 (189) @troyvincentsr (172) @nfl (138) @49ers (74) @nfllegends (59) @georgefoster72 (56) @troyvincent23 (51) @auburnfootball (50)

Want This Report as PDF?

We're building PDF export for these analytics reports. Register your interest to get early access.

Register Interest

Content Strategy Analysis

Based on 3,246 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,075 (33%)
Replies 828 (26%)
Retweets 874 (27%)
Quote Tweets 469 (14%)

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 874 retweets (27% 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 3,246 tweets

Engagement 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 followers

His audience includes NFL fans, sports enthusiasts, and followers of college football, particularly those connected to Auburn University. The audience also appreciates his mix of humor, nostalgia, and public speaking insights.

Average

Audience Quality

20.8%

Suspicion Index

24.9%

Low-Quality %

83

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

40.9%

Empty Bio

15.5%

<10 Tweets

15.5%

Mass Following (>2K)

0.0%

New (<90 days)

42.4%

Low Ratio (<0.1)

0.0%

New (<180 days)

83.9%

No URL

8.8%

<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 Detector

Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

218,329,845

Total Potential Reach

83

Median Follower Reach

259

75th Percentile Reach

7.9%

>1K followers

2.1%

>10K followers

0.8%

>50K followers

0.5%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

64.6%

Creators

32,317 accounts

19.9%

Consumers

9,937 accounts

15.5%

Dormant

7,746 accounts

1,143

Verified Followers

2.29% of total

6.6%

Professional Bios

founder, dev, analyst, etc.

0.12

Median Follow Ratio

follower/following

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):

Atlanta, GA (517) United States (429) Auburn, AL (373) Buffalo, NY (353) San Diego, CA (332) Birmingham, AL (257) Alabama, USA (232) San Diego (201) Los Angeles, CA (201) Georgia, USA (158)

1,486

Verified Followers

1.47% of total

12,069

Protected Accounts

11.95% of total

12 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
@NFL 32,957,810 Athlete Football, Tight End, Humor
@TwitterSports 14,741,568 - -
@JohnCena 14,102,332 Wrestler Wrestling, Motivation, Self-promotion
@funnyordie 12,887,019 Comedy Comedy, Entertainment, Humor
@jessicaalba 8,492,358 Actress Mom, Founder, Chef
@channingtatum 7,553,637 Actor Adventure, Movies, Fitness
@TomCruise 6,996,704 Actor Movies, Running, Acting
@nflnetwork 4,944,195 Sports Media Football, Television, Sports
@ESPNNFL 3,720,954 Sports Media Football, Sports, News
@NASCAR 3,637,863 Racing racing, NASCAR, champion

Top Keywords in Follower Bios

sports (5,377) love (4,854) life (3,693) football (3,014) father (2,293) auburn (2,145) husband (1,989) follow (1,738) god (1,614) family (1,578)

Top Hashtags in Follower Bios

#billsmafia (714) #wareagle (276) #1 (200) #teamfollowback (148) #wde (140) #team (137) #49ers (134) #nfl (118) #fttb (92) #boltup (89)

55,634

Followers With Bio

45,361

Followers Without Bio

55.09%

% With Bio

44.91%

% 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 $15

Buy Tweet Data

Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.

Buy Tweets - from $15

Viral Tweets

Top 5 by likes+RTs from 3,246 analyzed

257,291

Combined Engagement

0

Total Likes

257,291

Total Retweets

51,458

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

20%

With Links

Topical Analysis:

Nfl College Football Public Speaking Humor Community Engagement Sports Analysis Personal Milestones

Key Insights & Takeaways

He frequently shares personal and professional milestones, such as birthdays and career achievements, which resonate with his audience. He uses humor and relatable moments to connect with followers, making his content more engaging and shareable. He actively promotes college football and NFL teams, which aligns with his brand and strengthens his community ties.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 302,328
  • + 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 @TakeoSpikes51 reveals an well-established Twitter presence with 302,328 followers. The account demonstrates a content-creator strategy, averaging 173.4 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

About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025