Dakota Chapman
Official twitter account of Dakota lil Dog Chapman
83,021
Followers
491
Following
4,598
Tweets
68.5
Avg Engagement
82
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @dakotadog808'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:2013-05-20
- Verification:No
- Location:Paradise city
Data Summary
- Tweets Analyzed:3,017
- Avg Likes per Tweet:25.8
- Avg Retweets per Tweet:42.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,017 tweetsThe account has moderate engagement with an average of 1,329 likes and 82 retweets per tweet.
25.8
Avg Likes/Tweet
42.7
Avg Retweets/Tweet
77,745
Total Likes
128,933
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
5
Median Retweets
43
75th Percentile
51,555
Top Tweet
0.83
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
32.3%
Original
22.2%
Replies
41.0%
Retweets
4.6%
Quotes
0.0%
Threads
0.1%
With Media
17.9%
With Links
45.1%
With #Tags
70.2%
With @Mentions
27.8%
With Emojis
88
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.69
Reply/Original Ratio
0.11
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
58.2%
Weekday Posts
41.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,017 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 1,237 retweets (41% 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 3,017 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 10,000 followersThe audience appears to be fans and supporters who engage with the account's heartfelt messages and events.
Average
Audience Quality
27.4%
Suspicion Index
33.8%
Low-Quality %
16
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49.0%
Empty Bio
31.2%
<10 Tweets
7.9%
Mass Following (>2K)
0.0%
New (<90 days)
61.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.0%
No URL
18.7%
<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.
1,973,652
Total Potential Reach
16
Median Follower Reach
67
75th Percentile Reach
2.0%
>1K followers
0.1%
>10K followers
0.1%
>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).
41.5%
Creators
4,154 accounts
27.3%
Consumers
2,726 accounts
31.2%
Dormant
3,120 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):
42
Verified Followers
0.42% of total
1,170
Protected Accounts
11.7% of total
6 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 |
|---|---|---|---|
| @LelandBChapman | 344,813 | Bounty Hunter | Bounty hunting, TV shows, Dogs |
| @RonKardashian | 145,216 | Life Coach | Life coaching, author, advisor |
| @elliesangelwing | 113,675 | Religious influencer | Jesus, Angels, Nature |
| @SarahMOnline | 102,839 | Influencer | Celebrity, Photography, Brand Development |
| @Demo_Doug | 61,213 | TV Host | Real Estate, Single Parenting, Dreaming |
| @McJaystar | 60,018 | Influencer | Music, Travel, Entrepreneurship |
| @007LittleBirdy | 16,391 | - | - |
| @MaryandMocha | 15,466 | - | - |
| @mikerreports | 15,390 | - | - |
| @sumpristyle | 14,936 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,097
Followers With Bio
4,903
Followers Without Bio
50.97%
% With Bio
49.03%
% 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 3,017 analyzed76,716
Combined Engagement
4,769
Total Likes
71,947
Total Retweets
15,343
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @DogBountyHunter: It’s 5:32 in Hawaii, this is the time she would wake up to go hike Koko Head mountain. Only today, she hiked the stairway to heaven. We all love you, Beth. See you on the other side.
RT @DogBountyHunter: WANT A FOLLOW, REWEET THIS PLEASE #DogsMostWanted #DogsMostWanted https://t.co/kBHxcEkIsG
RT @DalaiLama: It is possible to use our intelligence and extend our compassion to others, including even our enemies.
RT @DogBountyHunter: Retweet this for Beth please 🙏 #DogsMostWanted #ThisOnesForBeth https://t.co/BpyaUpbN4d
Thank you everyone for the support it means a lot to our family. My grandmother would be very proud to see the tremendous support and love you all have shown ❤️ #DogPound #wgnamerica
Key Insights & Takeaways
The account frequently expresses gratitude and appreciation for its supporters, which likely contributes to its loyal following. The content often includes emotional and heartfelt messages, emphasizing family and legacy. The use of hashtags like #DogsMostWanted and #lives suggests a focus on community and recognition.
Strengths
- + Established follower base of 83,021
- + 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 @dakotadog808 reveals an growing Twitter presence with 83,021 followers. The account demonstrates a content-creator strategy, averaging 68.5 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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