Leland Chapman
Official twitter account of Leland B Chapman Dog the Bounty Hunter, Dog and Beth on the Hunt and Dogs most wanted season 1
337,855
Followers
631
Following
5,509
Tweets
70.8
Avg Engagement
1,476
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @LelandBChapman'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:2009-10-29
- Verification:No
- Location:Honolulu, HI
Data Summary
- Tweets Analyzed:3,167
- Avg Likes per Tweet:51.8
- Avg Retweets per Tweet:19.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,167 tweetsHis tweets typically receive an average of 1,796 likes and 317 retweets, indicating a high level of audience interaction. The content is often shared and appreciated by his followers.
51.8
Avg Likes/Tweet
19.0
Avg Retweets/Tweet
163,938
Total Likes
60,281
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
31
Median Likes
12
Median Retweets
69
75th Percentile
3,391
Top Tweet
0.21
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
81.9%
Original
5.2%
Replies
12.0%
Retweets
0.9%
Quotes
0.0%
Threads
6.1%
With Media
62.5%
With Links
36.0%
With #Tags
32.3%
With @Mentions
1.7%
With Emojis
69
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.06
Reply/Original Ratio
0.07
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
58.0%
Weekday Posts
42.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,167 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 379 retweets (12% 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 3,167 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 followersThe audience primarily consists of fans of his TV shows and reality TV enthusiasts. They are interested in updates about his work, personal life, and the shows he is involved in.
Average
Audience Quality
25.6%
Suspicion Index
33.9%
Low-Quality %
17
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.9%
Empty Bio
27.4%
<10 Tweets
6.6%
Mass Following (>2K)
0.0%
New (<90 days)
57.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.2%
No URL
16.9%
<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 DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
10,073,552
Total Potential Reach
17
Median Follower Reach
74
75th Percentile Reach
2.5%
>1K followers
0.2%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
47.0%
Creators
23,488 accounts
25.6%
Consumers
12,791 accounts
27.4%
Dormant
13,721 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):
367
Verified Followers
0.37% of total
14,110
Protected Accounts
14.11% of total
7 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 |
|---|---|---|---|
| @6BillionPeople | 2,035,668 | - | - |
| @KameronBennett | 1,812,748 | DJ | Music, DJing, Booking |
| @TheRealMorrison | 1,052,337 | Pro Wrestler | pro wrestler, actor, creator |
| @rogerhamilton | 928,789 | Entrepreneur | education, entrepreneurship, futurism |
| @KamVTV | 534,706 | Political Commentator | Texas, California, Ambassador |
| @KristySwansonXO | 495,671 | Actress | God, Proud Mama, Happy Wife |
| @MrsdogC | 493,752 | Bounty Hunter | Dogs, Bounty Hunting, TV Shows |
| @KayaJones | 377,352 | Singer | Music, Entrepreneurship, Social Media |
| @garyhgoodridge | 356,235 | Fighter | UFC, Arm Wrestling, Mental Health |
| @Dylan_Bostic | 349,423 | Wrestler | Pro Wrestling, Boxing, Acting |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
49,081
Followers With Bio
50,919
Followers Without Bio
49.08%
% With Bio
50.92%
% 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 3,167 analyzed12,691
Combined Engagement
11,001
Total Likes
1,690
Total Retweets
2,538
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
My beautiful wife @MrsJamieChapman https://t.co/pKAmiDLiRN
Hope you guys liked this seasons premiere #DogsMostWanted #ThisOnesForBeth
@ChristyMack hey since your ex-boyfriend @WarMachine170 will be in jail soon we should hangout sometime #MatchMadeInHeaven
My wife @MrsJamieChapman & I hope everyone had a Happy Thanksgiving! Happy holidays https://t.co/PBN905LZPi
https://t.co/QlHbzDgBoR
Key Insights & Takeaways
The account frequently highlights his wife and personal life, which helps build a more relatable image. Promotional content for his TV shows is a major part of his tweeting strategy. Engagement is driven by a mix of personal updates and show-related announcements.
Strengths
- + Established follower base of 337,855
- + 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 @LelandBChapman reveals an growing Twitter presence with 337,855 followers. The account demonstrates a content-creator strategy, averaging 70.8 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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