Tom Crabtree
Former Green Bay Packer. Super Bowl XLV Champ. 7th Best Crabtree in NFL history.
121,764
Followers
3,511
Following
33,536
Tweets
477.4
Avg Engagement
1,300
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @itsCrab'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:2010-06-20
- Verification:No
- Location:Florida, USA
Data Summary
- Tweets Analyzed:3,204
- Avg Likes per Tweet:180.5
- Avg Retweets per Tweet:296.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,204 tweetsItsCrab's tweets receive a high number of likes and retweets, indicating strong audience interaction and interest in his content.
180.5
Avg Likes/Tweet
296.9
Avg Retweets/Tweet
578,266
Total Likes
951,188
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
22
Median Likes
1
Median Retweets
127
75th Percentile
116,297
Top Tweet
3.92
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
22.8%
Original
45.0%
Replies
9.1%
Retweets
23.1%
Quotes
0.0%
Threads
0.2%
With Media
53.6%
With Links
9.4%
With #Tags
55.0%
With @Mentions
9.0%
With Emojis
75
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.97
Reply/Original Ratio
2.53
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.1%
Weekday Posts
32.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,204 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 293 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 3,204 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 NFL fans, especially Packers supporters, and those interested in sports nostalgia and humor.
Average
Audience Quality
26.3%
Suspicion Index
35.8%
Low-Quality %
33
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49.0%
Empty Bio
31.1%
<10 Tweets
9.4%
Mass Following (>2K)
0.0%
New (<90 days)
53.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.4%
No URL
22.6%
<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.
131,142,699
Total Potential Reach
33
Median Follower Reach
157
75th Percentile Reach
4.2%
>1K followers
1.0%
>10K followers
0.5%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
52.0%
Creators
25,986 accounts
16.9%
Consumers
8,446 accounts
31.1%
Dormant
15,568 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):
464
Verified Followers
0.46% of total
12,578
Protected Accounts
12.45% of total
10 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 |
|---|---|---|---|
| @SportsCenter | 41,561,564 | Sports News | sports, news, app |
| @NFL | 32,992,491 | Athlete | Football, Tight End, Humor |
| @JohnCena | 14,101,225 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Ninja | 6,674,351 | Gamer | video games, business |
| @ESPNNFL | 3,728,290 | Sports Media | Football, Sports, News |
| @NFLonFOX | 3,696,324 | Sports Media | Football, NFL, Sports |
| @IAmJericho | 3,598,021 | Wrestler | Wrestling, Music, Comedy |
| @foofighters | 3,309,156 | Musician | Rock, New album, Storyteller |
| @joelmchale | 3,202,987 | Actor | Comedy, Acting, Hosting |
| @Variety | 2,912,422 | Entertainment industry | Entertainment, Business, Variety |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
52,006
Followers With Bio
48,991
Followers Without Bio
51.49%
% With Bio
48.51%
% 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 3,204 analyzed380,024
Combined Engagement
0
Total Likes
380,024
Total Retweets
76,005
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @HamlinIsland: Putting love into the world comes back 3xs as much… thankful for everyone who has reached out and prayed. This will make…
RT @sarahcpr: How to person woman man camera tv https://t.co/rcQC4sxmLX
RT @ProjectLincoln: This is art. https://t.co/ZPJxHu20TV
RT @byDavidGardner: "I'm here live. I'm not a cat." A lawyer logged into the 394th Judicial District with a cat filter on and couldn't tur…
RT @RexChapman: This little girl pretending to like mommy’s cooking is the Twitter content I’m here for...🤭🤣😭💀 https://t.co/8R0oRSeMDA
Key Insights & Takeaways
His content often highlights his legacy and relationship with Aaron Rodgers, which drives engagement. He uses humor and personal anecdotes to connect with followers. His tweets frequently reference past events and moments, appealing to nostalgia.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 121,764
- + 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 @itsCrab reveals an well-established Twitter presence with 121,764 followers. The account demonstrates a conversation-first approach, averaging 477.4 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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