Bobby Wagner

Bobby Wagner

@Bwagz

Tackle Everything In Life || Business inquiries - business@bwagz.team

https://www.vmfh.org/sports/seahawks Joined 2009-05-08 Date of Analysis: Dec 16, 2025

470,200

Followers

600

Following

1,436

Tweets

3,842.3

Avg Engagement

1,196

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @Bwagz'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:2009-05-08
  • Verification:No
  • Location:Not specified

Data Summary

  • Tweets Analyzed:1,213
  • Avg Likes per Tweet:1,030.2
  • Avg Retweets per Tweet:2,812.1
  • Followers Analyzed:50,000

Engagement Analysis

Based on 1,213 tweets

Bwagz's tweets receive a high number of likes and retweets, indicating strong audience interaction. Their content is well-received and often shared, suggesting a loyal and engaged following.

1,030.2

Avg Likes/Tweet

2,812.1

Avg Retweets/Tweet

1,249,634

Total Likes

3,411,020

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

32

Median Likes

46

Median Retweets

1,340

75th Percentile

495,115

Top Tweet

8.17

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Curator

Amplifies others content frequently

15.2%

Original

32.0%

Replies

40.1%

Retweets

12.8%

Quotes

0.0%

Threads

0.6%

With Media

43.9%

With Links

18.7%

With #Tags

76.3%

With @Mentions

37.0%

With Emojis

79

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

2.11

Reply/Original Ratio

0.32

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

78.8%

Weekday Posts

21.2%

Weekend Posts

Top Hashtags

#wpmoychallenge (104) #probowlvote (42) #gohawks (13) #seahawks (9) #nfltop100 (7) #aggiesalltheway (6) #superiorhydration (5) #tde (5) #probowl (3) #teambodyarmor (3)

Most Mentioned

@bwagz (139) @seahawks (133) @qdiggs6 (51) @rsherman_25 (38) @ramsnfl (35) @dangerusswilson (32) @nfl (30) @tdlockett12 (24) @kj_wright34 (20) @dkm14 (20)

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 1,213 tweets

Content Type Distribution

Content Breakdown

Original Tweets 184 (15%)
Replies 388 (32%)
Retweets 486 (40%)
Quote Tweets 155 (13%)

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 486 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 1,213 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

Bwagz's audience likely includes fans of their personal journey, business professionals, and followers of prominent figures they mention. Their content appeals to those interested in personal growth and business opportunities.

Average

Audience Quality

25.5%

Suspicion Index

31.3%

Low-Quality %

26

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

43.6%

Empty Bio

27.9%

<10 Tweets

9.7%

Mass Following (>2K)

0.0%

New (<90 days)

56.7%

Low Ratio (<0.1)

0.0%

New (<180 days)

90.2%

No URL

18.9%

<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.

33,289,761

Total Potential Reach

26

Median Follower Reach

133

75th Percentile Reach

4.1%

>1K followers

0.5%

>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).

51.2%

Creators

25,587 accounts

20.9%

Consumers

10,466 accounts

27.9%

Dormant

13,947 accounts

598

Verified Followers

1.2% of total

3.8%

Professional Bios

founder, dev, analyst, etc.

0.08

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):

Seattle, WA (797) United States (528) Los Angeles, CA (526) Washington, USA (281) California, USA (253) Seattle (139) Dallas, TX (137) Houston, TX (136) Texas, USA (136) Chicago, IL (121)

920

Verified Followers

0.91% of total

9,374

Protected Accounts

9.28% of total

5 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 14,104,698 Wrestler Wrestling, Motivation, Self-promotion
@DangeRussWilson 5,594,196 Athlete Faith, Love, Jesus
@DezBryant 3,499,150 Athlete Athlete, Founder, #ThrowUpTheX
@PatMcAfeeShow 2,835,286 Sports commentator Sports, Betting, Entertainment
@MikeTrout 2,575,519 Baseball Player Baseball, Angels, Jess Tara
@CBSSports 1,378,404 Sports Media Sports, News, Updates
@SinghLions 1,334,851 Restaurateur Food, Travel, Influencer
@BaronDavis 1,030,829 Entrepreneur Investor, Finesser, Creator
@ZachBoychuk 829,741 Hockey Player Hockey, Meme/NFT Trading, Ethereum
@chamillionaire 710,309 Rapper Venture, Raptivist, Booking

Top Keywords in Follower Bios

sports (3,462) football (3,351) love (3,120) life (2,303) seahawks (2,120) high (1,652) god (1,587) school (1,542) class (1,461) gpa (1,434)

Top Hashtags in Follower Bios

#seahawks (463) #ramshouse (318) #lakeshow (258) #gohawks (240) #ravensflock (216) #1 (203) #seausrise (140) #blm (119) #raidernation (112) #billsmafia (106)

57,674

Followers With Bio

43,325

Followers Without Bio

57.1%

% With Bio

42.9%

% 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 1,213 analyzed

1,631,372

Combined Engagement

0

Total Likes

1,631,372

Total Retweets

326,274

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

60%

With Hashtags

100%

With @Mentions

80%

With Links

Topical Analysis:

Gratitude Loyalty Personal Journey Business Public Figures Engagement

Key Insights & Takeaways

Bwagz's top tweets highlight personal and emotional connections, which drive engagement. Their content often includes gratitude and loyalty, which resonate with their audience. They strategically mention public figures, which can boost visibility and engagement.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 470,200
  • + 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 @Bwagz reveals an exceptionally influential Twitter presence with 470,200 followers. The account demonstrates a conversation-first approach, averaging 3,842.3 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