Jason McCourty
Husband & Father__13yr NFL Vet__Super Bowl Champ__ @GMFB on @NFLNetwork __ Double Coverage Podcast w/ the McCourty Twins __Tackle Sickle Cell! IG:@McCourtyTwins
25,757
Followers
748
Following
5,719
Tweets
95.7
Avg Engagement
349
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JasonMcCourty'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:2009-12-05
- Verification:No
- Location:New Jersey, USA
Data Summary
- Tweets Analyzed:3,222
- Avg Likes per Tweet:45.6
- Avg Retweets per Tweet:50.1
- Followers Analyzed:21,662
Engagement Analysis
Based on 3,222 tweetsHis tweets typically receive around 5,008 likes and 346 retweets on average, indicating strong support from his followers. The high engagement suggests a loyal and active fan base.
45.6
Avg Likes/Tweet
50.1
Avg Retweets/Tweet
147,077
Total Likes
161,371
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
7
75th Percentile
50,106
Top Tweet
3.72
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
55.1%
Original
20.4%
Replies
14.2%
Retweets
10.3%
Quotes
0.0%
Threads
0.2%
With Media
25.4%
With Links
9.2%
With #Tags
75.1%
With @Mentions
7.1%
With Emojis
95
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.37
Reply/Original Ratio
0.72
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.0%
Weekday Posts
25.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,222 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 459 retweets (14% 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 3,222 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 21,662 followersHis audience includes NFL fans, fellow athletes, and families interested in his personal life and advocacy work. The content appeals to both sports enthusiasts and those interested in community impact.
Good
Audience Quality
19.3%
Suspicion Index
22.9%
Low-Quality %
87
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.4%
Empty Bio
11.9%
<10 Tweets
15.0%
Mass Following (>2K)
0.0%
New (<90 days)
41.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.8%
No URL
7.4%
<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.
131,113,849
Total Potential Reach
87
Median Follower Reach
283
75th Percentile Reach
8.7%
>1K followers
2.4%
>10K followers
1.0%
>50K followers
0.6%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
72.8%
Creators
15,770 accounts
15.3%
Consumers
3,308 accounts
11.9%
Dormant
2,584 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):
512
Verified Followers
2.36% of total
2,612
Protected Accounts
12.06% of total
9 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 |
|---|---|---|---|
| @NFL | 32,900,543 | Athlete | Football, Tight End, Humor |
| @JohnCena | 14,106,836 | Wrestler | Wrestling, Motivation, Self-promotion |
| @nflnetwork | 4,939,526 | Sports Media | Football, Television, Sports |
| @verified | 4,201,602 | - | - |
| @ESPNNFL | 3,713,351 | Sports Media | Football, Sports, News |
| @BeatsByAssassin | 2,267,148 | Multitalented | Actor, Director, Rapper |
| @mortreport | 2,219,572 | Sports Journalist | Jesus, Family, Cancer |
| @RSherman_25 | 2,040,527 | Football Player | Football, Stanford, Confidence |
| @FirstTake | 1,783,365 | Sports Commentators | Sports, Debate, Analysis |
| @KirkHerbstreit | 1,657,578 | Sports Analyst | College Football, Ohio State, Sports Broadcasting |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
13,334
Followers With Bio
8,328
Followers Without Bio
61.55%
% With Bio
38.45%
% 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 3,222 analyzed120,703
Combined Engagement
15,044
Total Likes
105,659
Total Retweets
24,141
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @BuffaloBills: https://t.co/4Fyd2JZVLb
RT @NBAonTNT: KENNY LAUNCHED SHAQ INTO THE TREE 🎄💀 https://t.co/WBltT8jflx
RT @TomBrady: If I don’t slip that’s Randy over the top for 6… https://t.co/HzATNjIW8A
The type of brother I have… He FaceTimes me after his win in Cleveland from the locker room so I could see what it’s like to win a game in Cleveland One hell of a guy he is huh…
RT @TomPelissero: Chris Jones just became the first player in NFL history called for roughing the passer while holding the ball.
Key Insights & Takeaways
He emphasizes family values and personal connections, such as sharing moments with his brother after a game. He highlights team news and locker room dynamics, showing his connection to the Patriots organization. He uses his platform to raise awareness about sickle cell disease, reflecting his commitment to social advocacy.
Strengths
- + Established follower base of 25,757
- + 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 @JasonMcCourty reveals an growing Twitter presence with 25,757 followers. The account demonstrates a content-creator strategy, averaging 95.7 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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