matt

matt

@sponhourm

Co-host of the @stayhotpod. Hornets guy. Panthers guy. Reds guy. University of Cincinnati. Bring back the BCS. looking to marry rich

Cincinnati, OH https://beacons.ai/sponhour Joined 2020-03-02 Date of Analysis: Dec 16, 2025

94,746

Followers

813

Following

10,286

Tweets

812.1

Avg Engagement

100

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @sponhourm'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:2020-03-02
  • Verification:No
  • Location:Cincinnati, OH

Data Summary

  • Tweets Analyzed:3,238
  • Avg Likes per Tweet:629.6
  • Avg Retweets per Tweet:182.5
  • Followers Analyzed:10,000

Engagement Analysis

Based on 3,238 tweets

Their tweets typically receive high engagement, with an average of 19,743 likes and 1,344 retweets, indicating a strong and active community around their posts.

629.6

Avg Likes/Tweet

182.5

Avg Retweets/Tweet

2,038,495

Total Likes

591,009

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

180

Median Likes

1

Median Retweets

750

75th Percentile

100,356

Top Tweet

8.57

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Conversationalist

Highly engaged in discussions

30.3%

Original

55.9%

Replies

7.5%

Retweets

6.3%

Quotes

0.0%

Threads

0.0%

With Media

17.1%

With Links

1.0%

With #Tags

50.2%

With @Mentions

2.6%

With Emojis

80

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.85

Reply/Original Ratio

0.84

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

66.8%

Weekday Posts

33.2%

Weekend Posts

Top Hashtags

#1 (15) #bearcats (4) #2 (3) #dabears (1) #bearsnation (1) #3 (1) #raiders (1) #cincinnati (1) #seniorbowl (1) #nfl (1)

Most Mentioned

@theoashnfl (120) @blaiden (101) @pranavsriraman (72) @elitetakes_ (72) @stayhotpod (65) @light_2610 (56) @armentro1landon (39) @sponhourm (23) @rustybuckets321 (19) @jakeandhoops (19)

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 3,238 tweets

Content Type Distribution

Content Breakdown

Original Tweets 980 (30%)
Replies 1,810 (56%)
Retweets 244 (8%)
Quote Tweets 204 (6%)

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 244 retweets (8% 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 3,238 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 10,000 followers

Their audience likely includes sports fans, particularly those interested in college football and NBA teams. They also attract followers who enjoy witty and opinionated content.

Average

Audience Quality

21.1%

Suspicion Index

29.6%

Low-Quality %

26

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

42.7%

Empty Bio

24.8%

<10 Tweets

4.5%

Mass Following (>2K)

0.0%

New (<90 days)

45.3%

Low Ratio (<0.1)

0.0%

New (<180 days)

91.3%

No URL

16.4%

<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 Detector

Follower Reach & Influence

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

5,328,310

Total Potential Reach

26

Median Follower Reach

112

75th Percentile Reach

2.9%

>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).

52.7%

Creators

5,274 accounts

22.4%

Consumers

2,244 accounts

24.8%

Dormant

2,482 accounts

67

Verified Followers

0.67% of total

2.8%

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):

United States (137) Los Angeles, CA (55) Chicago, IL (54) Charlotte, NC (50) Philadelphia, PA (45) New York, USA (35) New Jersey, USA (34) Houston, TX (33) Atlanta, GA (32) California, USA (28)

67

Verified Followers

0.67% of total

967

Protected Accounts

9.67% 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
@LeBronJames 979,443 - -
@SleepSkee 707,333 Musician Music, Independent, Artist
@Ceice 200,776 Professional Gamer Fortnite, XSET, Gaming
@daltoosh 179,341 Content Creator Gaming, Golfing, Stoking
@BernieKosarQB 158,468 Quarterback Football, Quarterback, Super Bowl
@mattnewts 137,856 - -
@HenryTheBlasian 128,990 Content Creator NBA2k, MyTeam, Content Creation
@AmyTaylorNYC 122,661 - -
@RyanTrahan 115,461 - -
@ButtCrackSports 71,743 Satire Sports Parody, Satire, Sports

Top Keywords in Follower Bios

sports (386) nba (149) football (147) basketball (128) love (126) enthusiast (122) hehim (120) follow (89) account (88) nfl (82)

Top Hashtags in Follower Bios

#keeppounding (55) #lakeshow (47) #1 (35) #bleedgreen (29) #heatculture (25) #letemknow (23) #thunderup (19) #newyorkforever (18) #repbx (18) #mffl (17)

5,729

Followers With Bio

4,271

Followers Without Bio

57.29%

% With Bio

42.71%

% 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 3,238 analyzed

356,537

Combined Engagement

28,116

Total Likes

328,421

Total Retweets

71,307

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

80%

With @Mentions

80%

With Links

Topical Analysis:

Sports Commentary Humor College Football Nba Teams Pop Culture References

Key Insights & Takeaways

They blend humor with sports commentary, often using hyperbolic scenarios like a 7-game series between ham and turkey. They reference popular culture and sports figures like Michael Jordan and LeBron James, suggesting a broad appeal. Their content is engaging and relatable, encouraging interaction and discussion among followers.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 94,746
  • + 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 @sponhourm reveals an well-established Twitter presence with 94,746 followers. The account demonstrates a conversation-first approach, averaging 812.1 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