Sam Monson
Irish NFL Analyst 🇮🇪 @PFF's Lead NFL Analyst Prematurely predicting decline Best IAFL DB in PFF History Co-host of @PFFNFLPod
118,496
Followers
2,573
Following
123,098
Tweets
111.1
Avg Engagement
3,054
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @PFF_Sam'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:2009-03-31
- Verification:No
- Location:Email: [email protected]
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:52.9
- Avg Retweets per Tweet:58.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,249 tweetsHis tweets typically receive high engagement, with an average of 3,651 likes and 292 retweets per tweet. The content is well-received and widely shared within the sports community.
52.9
Avg Likes/Tweet
58.2
Avg Retweets/Tweet
171,960
Total Likes
189,100
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
0
Median Retweets
46
75th Percentile
58,139
Top Tweet
0.94
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
15.2%
Original
54.0%
Replies
17.6%
Retweets
13.2%
Quotes
0.0%
Threads
0.6%
With Media
38.7%
With Links
4.2%
With #Tags
70.0%
With @Mentions
6.2%
With Emojis
122
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.55
Reply/Original Ratio
0.75
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
84.1%
Weekday Posts
15.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 571 retweets (18% 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 3,249 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 followersHis audience includes NFL fans, analysts, and sports enthusiasts interested in detailed game breakdowns and predictions. The content appeals to both casual and dedicated sports fans.
Average
Audience Quality
24.7%
Suspicion Index
31.6%
Low-Quality %
42
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.0%
Empty Bio
24.9%
<10 Tweets
11.6%
Mass Following (>2K)
0.0%
New (<90 days)
52.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.7%
No URL
17.2%
<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.
21,941,830
Total Potential Reach
42
Median Follower Reach
167
75th Percentile Reach
5.4%
>1K followers
1.1%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
54.3%
Creators
5,430 accounts
20.8%
Consumers
2,076 accounts
24.9%
Dormant
2,494 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):
197
Verified Followers
1.97% of total
880
Protected Accounts
8.8% of total
5 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 | 14,093,325 | Wrestler | Wrestling, Motivation, Self-promotion |
| @zammit_marc | 386,524 | Filmmaker | Film, Acting, Producing |
| @Jon_Anik | 347,550 | Sports Commentator | UFC, Father, Podcast |
| @JYorkFootball | 318,083 | Musician | Music, Pittsburgh, Entertainment |
| @C_C_Krebs | 278,667 | Cybersecurity | - |
| @twobigboysblog | 221,829 | Food Blogger | Food, Las Vegas, Guide |
| @EmmaVigeland | 206,831 | Political commentator | NY sports, politics, media |
| @iamSauceGardner | 177,750 | Spiritual Leader | God, Empath, SAUCE |
| @dpbrugler | 146,237 | NFL Draft Analyst | NFL Draft, BBQ, Family |
| @NFL_Stats | 142,778 | Sports Analyst | Football, Statistics, News |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,395
Followers With Bio
4,605
Followers Without Bio
53.95%
% With Bio
46.05%
% 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 3,249 analyzed123,356
Combined Engagement
16,480
Total Likes
106,876
Total Retweets
24,671
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
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.
RT @TroyAikman: iCYMI: Talk to me when when he has 33% of my Super Bowl Titles https://t.co/Ba8kjPRnDs
The idea that Buffalo hosts Cincinnati because 13-3 > 12-4 when the extra game that was abandoned was literally BUF playing CIN with a chance to actually resolve that seeding question is absurd imo. This game should be at a neutral site as well.
RT @stephenasmith: Twitter right now https://t.co/okRgSC9y95
RT @HamlinIsland: If you get a chance to show some love today do it! It won’t cost you nothing. ❤️
Key Insights & Takeaways
He often highlights standout performances and key statistics, such as Sauce Gardner's impressive metrics. He provides unique perspectives on game outcomes and team dynamics, such as the Buffalo vs. Cincinnati scenario. His analysis is data-driven and focuses on player performance and game strategy.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 118,496
- + 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 @PFF_Sam reveals an well-established Twitter presence with 118,496 followers. The account demonstrates a conversation-first approach, averaging 111.1 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.
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