LanceMcAlister
Host @700WLW Sports Talk, Reds/Bengals shows. Married/dad Casey & Peyton. Butler '88, Carmel '84. Email: [email protected] Instagram lancemcalister
88,541
Followers
383
Following
266,938
Tweets
452.9
Avg Engagement
1,050
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @LanceMcAlister'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:2009-02-20
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:21.4
- Avg Retweets per Tweet:431.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,248 tweetsHis tweets typically receive a high number of likes and some retweets, indicating a strong level of audience interaction. His content often sparks discussion, especially around controversial sports topics.
21.4
Avg Likes/Tweet
431.6
Avg Retweets/Tweet
69,422
Total Likes
1,401,714
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
1
Median Retweets
54
75th Percentile
117,493
Top Tweet
5.12
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
45.3%
Original
13.2%
Replies
33.1%
Retweets
8.4%
Quotes
0.0%
Threads
0.5%
With Media
50.2%
With Links
40.2%
With #Tags
64.2%
With @Mentions
14.2%
With Emojis
127
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.29
Reply/Original Ratio
0.25
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
72.8%
Weekday Posts
27.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 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 1,075 retweets (33% 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 3,248 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 followersHis audience primarily consists of sports enthusiasts in Cincinnati, particularly fans of the Bengals and Reds. They are likely interested in in-depth sports analysis and commentary.
Average
Audience Quality
27.4%
Suspicion Index
39.3%
Low-Quality %
21
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
53.0%
Empty Bio
35.0%
<10 Tweets
8.6%
Mass Following (>2K)
0.0%
New (<90 days)
52.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.5%
No URL
25.7%
<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.
58,136,598
Total Potential Reach
21
Median Follower Reach
123
75th Percentile Reach
4.5%
>1K followers
0.6%
>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).
44.9%
Creators
22,449 accounts
20.1%
Consumers
10,049 accounts
35.0%
Dormant
17,502 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):
576
Verified Followers
0.68% of total
7,896
Protected Accounts
9.34% of total
8 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 | 14,106,891 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,710 | - | - |
| @BeatsByAssassin | 2,267,157 | Multitalented | Actor, Director, Rapper |
| @6BillionPeople | 2,038,781 | - | - |
| @iHeartRadio | 2,026,147 | Media | Music, Stations, Podcasts |
| @JAYVERSACE | 1,648,408 | Entertainer | olorisa, obatalá, afrotunes |
| @Bengals | 1,478,027 | Sports Team | Football, Cincinnati, WHO DEY |
| @soledadobrien | 1,320,570 | Journalist | working, mom, journalist |
| @PFF | 1,237,321 | Sports Analyst | NFL, NCAA, Analytics |
| @DEADLINE | 1,111,928 | Entertainment News | Entertainment, News, Hollywood |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
39,036
Followers With Bio
45,528
Followers Without Bio
46.16%
% With Bio
53.84%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,248 analyzed381,176
Combined Engagement
0
Total Likes
381,176
Total Retweets
76,235
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @TomBrady: Truly grateful on this day. Thank you 🙏🏻❤️ https://t.co/j2s2sezvSS
RT @JoshAllenQB: Please pray for our brother.
RT @MLB: SHOHEI OHTANI STRIKES OUT MIKE TROUT TO WIN THE #WORLDBASEBALLCLASSIC! https://t.co/F7vUtIiRR1
RT @HamlinIsland: GAMETIME!!! @BuffaloBills 💙 https://t.co/PQYClonUHb
RT @jordonr: Update on Damar: His vitals are back to normal and they have put him to sleep to put a breathing tube down his throat. They are currently running tests. We will provide updates as we have them.
Key Insights & Takeaways
He frequently comments on NFL integrity and fan trust, highlighting concerns about the league's operations. His posts often reference Cincinnati teams, showing a deep connection to local sports culture. He uses a casual and conversational tone, which helps build rapport with his followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 88,541
- + 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 @LanceMcAlister reveals an well-established Twitter presence with 88,541 followers. The account demonstrates a content-creator strategy, averaging 452.9 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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