Wyatt Davis

Wyatt Davis

@wyattdavis53

Ohio State University ‘21 #RyseUp

Joined 2014-02-11 Date of Analysis: Dec 16, 2025

16,726

Followers

893

Following

4,707

Tweets

91

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @wyattdavis53'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:2014-02-11
  • Verification:No
  • Location:Not specified

Data Summary

  • Followers Analyzed:16,865

Want This Report as PDF?

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

Register Interest

Audience Demographics

Based on 16,865 followers

The audience appears to be interested in university life, personal development, and community initiatives. Their engagement metrics suggest a low level of interaction, which may indicate a passive or niche following.

Good

Audience Quality

17.7%

Suspicion Index

20.5%

Low-Quality %

132

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

36.0%

Empty Bio

8.7%

<10 Tweets

17.3%

Mass Following (>2K)

0.0%

New (<90 days)

35.9%

Low Ratio (<0.1)

0.0%

New (<180 days)

87.1%

No URL

5.1%

<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.

49,244,965

Total Potential Reach

132

Median Follower Reach

377

75th Percentile Reach

10.3%

>1K followers

2.2%

>10K followers

0.6%

>50K followers

0.4%

>100K followers

Creator vs Consumer Split

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

77.6%

Creators

13,088 accounts

13.7%

Consumers

2,314 accounts

8.7%

Dormant

1,463 accounts

258

Verified Followers

1.53% of total

5.1%

Professional Bios

founder, dev, analyst, etc.

0.16

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):

Columbus, OH (480) Ohio, USA (434) United States (236) Ohio (148) Minnesota, USA (131) Los Angeles, CA (116) Minneapolis, MN (109) Columbus, Ohio (97) Cleveland, OH (93) Cincinnati, OH (91)

258

Verified Followers

1.53% of total

2,092

Protected Accounts

12.4% of total

9 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 14,178,742 Wrestler Wrestling, Motivation, Self-promotion
@6BillionPeople 2,008,454 - -
@CoachUrbanMeyer 1,864,348 Football Coach Football, Championships, Teams
@Vikings 1,545,065 Sports Team Football, Minnesota, NFL
@soledadobrien 1,298,754 Journalist working, mom, journalist
@OhioStateFB 673,765 Football Football, Ohio State, Championships
@PlayersTribune 640,716 Sports Media Sports, Olympics, Athletes
@TayeDiggs 635,813 Actor acting, chocolate, hosting
@Lane_Kiffin 633,474 Coach Football, Coaching, Ole Miss
@CoachSchuman 588,988 Football Coach Football, Recruiting, Motivation

Top Keywords in Follower Bios

ohio (1,221) state (1,078) sports (1,063) football (932) buckeyes (688) love (641) father (627) buckeye (575) vikings (554) husband (549)

Top Hashtags in Follower Bios

#skol (239) #gobucks (226) #buckeyenation (104) #browns (87) #buckeyes (85) #1 (53) #vikings (45) #cbj (44) #letemknow (43) #cavs (34)

10,797

Followers With Bio

6,068

Followers Without Bio

64.02%

% With Bio

35.98%

% 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

Key Insights & Takeaways

The user may be focusing on personal branding or niche content rather than broad engagement. The verified status suggests limited official validation, which could impact credibility or reach. The account may be used for personal reflection or community building rather than high-traffic content.

Strengths

  • + Established follower base of 16,726
  • + 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 @wyattdavis53 reveals an growing Twitter presence with 16,726 followers. The account demonstrates a content-creator strategy, averaging 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