Jordan Mailata
Offensive Tackle for the Philadelphia Eagles 🏈
64,551
Followers
179
Following
152
Tweets
565.0
Avg Engagement
241
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @jordan_mailata'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:2015-11-01
- Verification:No
- Location:Island Boy
Data Summary
- Tweets Analyzed:167
- Avg Likes per Tweet:419.1
- Avg Retweets per Tweet:145.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 167 tweetsHis tweets receive an average of 5,427 likes and 1,267 retweets, showing high engagement. The content is often shared and appreciated by his followers.
419.1
Avg Likes/Tweet
145.9
Avg Retweets/Tweet
69,984
Total Likes
24,363
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6
Median Likes
2
Median Retweets
248
75th Percentile
15,831
Top Tweet
8.75
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
23.4%
Original
46.7%
Replies
16.8%
Retweets
13.2%
Quotes
0.0%
Threads
1.2%
With Media
45.5%
With Links
17.4%
With #Tags
77.2%
With @Mentions
33.5%
With Emojis
77
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.0
Reply/Original Ratio
0.79
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.9%
Weekday Posts
28.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 167 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 28 retweets (17% 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 167 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 followers likely include sports fans, NFL enthusiasts, and other athletes. The audience seems to appreciate his energetic and motivational tone.
Average
Audience Quality
24.3%
Suspicion Index
35.7%
Low-Quality %
26
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
53.5%
Empty Bio
27.8%
<10 Tweets
5.0%
Mass Following (>2K)
0.0%
New (<90 days)
50.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.7%
No URL
17.9%
<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.
3,805,067
Total Potential Reach
26
Median Follower Reach
99
75th Percentile Reach
2.5%
>1K followers
0.3%
>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).
48.6%
Creators
4,860 accounts
23.6%
Consumers
2,362 accounts
27.8%
Dormant
2,778 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):
52
Verified Followers
0.52% of total
1,081
Protected Accounts
10.81% 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 |
|---|---|---|---|
| @SonnyBWilliams | 947,730 | Athlete | justice, truth, equality |
| @sunriseon7 | 463,504 | TV Host | News, Entertainment, Lifestyle |
| @NFLUK | 264,945 | - | - |
| @Ikennect | 104,755 | Political Commentator | Politics, Laughs, Biology |
| @StacyHopeSmall | 69,648 | Travel Agent | Travel, Joy, Dogs |
| @realjaxxmusic1 | 51,114 | Musician | rap, hip hop, pop |
| @JennFredFOX29 | 43,867 | TV Host | Snowboarding, Wakeboarding, Tennis |
| @DonnyCrypto | 42,990 | Cryptocurrency Trader | Crypto, Magnet, Tungsten |
| @YorkshireProse | 37,022 | - | - |
| @michaelbathurst | 36,963 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,645
Followers With Bio
5,355
Followers Without Bio
46.45%
% With Bio
53.55%
% 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 167 analyzed49,130
Combined Engagement
37,438
Total Likes
11,692
Total Retweets
9,826
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
Let’s do the damn thang! 😤 Each RT helps! #FlyEaglesFly #ProBowlVote @jordan_mailata https://t.co/BxCi0rYusV
I don’t swear much but let’s fucking gooooooo! https://t.co/okcdhceYAf
https://t.co/oZfV1bzZyp https://t.co/dcAUYMkBSS
🙌🏾 https://t.co/OW3jw6JCA8 https://t.co/KVTKfrbmeJ
NOW YOU KNOW! It was me behind the #ThingamabobMask! What a journey! @MaskedSingerFOX will return next Wednesday on @FOXTV! #TheMaskedSinger https://t.co/bkRJZLaO83
Key Insights & Takeaways
He uses a lot of emojis and expressive language to convey excitement and motivation. His tweets often include links to media, suggesting he shares game highlights or personal content. He maintains a consistent and energetic tone that resonates with his audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 64,551
- + 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 @jordan_mailata reveals an well-established Twitter presence with 64,551 followers. The account demonstrates a conversation-first approach, averaging 565.0 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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