Niles Paul
Born & Raised n Omaha, NE. University of Nebraska Alum. 8 Year NFL Vet
52,821
Followers
781
Following
23,830
Tweets
335.2
Avg Engagement
593
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @NilesP_'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:2010-10-12
- Verification:No
- Location:Omaha, NE
Data Summary
- Tweets Analyzed:3,148
- Avg Likes per Tweet:14.3
- Avg Retweets per Tweet:321.0
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,148 tweetsHis tweets receive an average of 1,669 likes and 456 retweets, indicating a highly engaged and loyal fanbase. The content is well-received and often shared within his community.
14.3
Avg Likes/Tweet
321.0
Avg Retweets/Tweet
44,984
Total Likes
1,010,361
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
9
75th Percentile
62,155
Top Tweet
6.35
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
26.7%
Original
62.2%
Replies
9.1%
Retweets
2.0%
Quotes
0.0%
Threads
0.2%
With Media
10.1%
With Links
4.0%
With #Tags
79.1%
With @Mentions
32.6%
With Emojis
58
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.33
Reply/Original Ratio
0.22
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.7%
Weekday Posts
30.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,148 tweetsContent Type Distribution
Content Breakdown
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 286 retweets (9% 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 3,148 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 9,998 followersHis audience is primarily interested in sports, especially NFL, and local Omaha culture. They engage with his personal updates and sports-related commentary.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
69
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.5%
No URL
100.0%
<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.
25,610,125
Total Potential Reach
69
Median Follower Reach
262
75th Percentile Reach
8.0%
>1K followers
1.7%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
9,998 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):
0
Verified Followers
0.0% of total
1,126
Protected Accounts
11.26% 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 |
|---|---|---|---|
| @benlandis | 2,818,446 | - | - |
| @6BillionPeople | 2,010,593 | - | - |
| @SinghLions | 1,325,898 | Restaurateur | Food, Travel, Influencer |
| @soledadobrien | 1,312,888 | Journalist | working, mom, journalist |
| @JDaIey | 1,243,842 | Owner | Esports, Gaming, Sponsorship |
| @GettySport | 873,475 | Photographer | sports, photography, news |
| @DanielNewman | 803,101 | Actor | WALKINGDEAD, MARVEL, LGBTQ* |
| @DeMarcusWare | 754,616 | Athlete | Football, Dancing, Social Media |
| @ericschiffer | 695,120 | CEO | business, media, author |
| @PleasureEllis | 678,871 | Entertainer | Music, Transformation, Celebration |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,719
Followers With Bio
4,281
Followers Without Bio
57.19%
% With Bio
42.81%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,148 analyzed263,984
Combined Engagement
0
Total Likes
263,984
Total Retweets
52,797
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @theweeknd: nobody really grows up, we just pretend to be mature.
RT @mattlikesfilm: probably the best tiktok ive ever watched 💀 https://t.co/Ft7Js0n2JD
RT @xclaudius: me at check out: https://t.co/u0D8Vb5wsp
RT @dzennon: When you take a great instagram pic but remember you banned the internet in your country https://t.co/b661J9BujF
RT @808sndCarShakes: Coronavirus got everybody like... 😂 https://t.co/HpiyjKYd6Q
Key Insights & Takeaways
He maintains a strong connection to his hometown and NFL career His content often includes personal reflections and local pride He blends sports with pop culture, making his tweets relatable and engaging
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 52,821
- + 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 @NilesP_ reveals an well-established Twitter presence with 52,821 followers. The account demonstrates a conversation-first approach, averaging 335.2 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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