Jeff Darlington
ESPN NFL Reporter. Traveling the country to bring you the stories of sports and the people who play them. Instagram: @jeffdarlington
283,023
Followers
823
Following
26,161
Tweets
525.2
Avg Engagement
4,416
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JeffDarlington'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:2009-03-24
- Verification:No
- Location:Fort Lauderdale
Data Summary
- Tweets Analyzed:3,240
- Avg Likes per Tweet:316.1
- Avg Retweets per Tweet:209.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,240 tweetsDarlington's tweets consistently receive high engagement, indicating a strong connection with his audience. His ability to share emotional and impactful stories contributes significantly to this engagement.
316.1
Avg Likes/Tweet
209.0
Avg Retweets/Tweet
1,024,198
Total Likes
677,305
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
31
Median Likes
4
Median Retweets
158
75th Percentile
81,298
Top Tweet
1.86
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
44.3%
Original
16.8%
Replies
13.9%
Retweets
25.0%
Quotes
0.0%
Threads
0.3%
With Media
47.4%
With Links
4.1%
With #Tags
37.4%
With @Mentions
10.0%
With Emojis
139
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.38
Reply/Original Ratio
1.79
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
61.6%
Weekday Posts
38.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,240 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 451 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 3,240 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 followersHis audience primarily consists of NFL fans and sports enthusiasts who are interested in in-depth stories and behind-the-scenes insights. The content appeals to both casual and dedicated sports followers.
Average
Audience Quality
23.1%
Suspicion Index
27.1%
Low-Quality %
64
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.7%
Empty Bio
17.4%
<10 Tweets
15.4%
Mass Following (>2K)
0.0%
New (<90 days)
51.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.2%
No URL
11.6%
<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.
63,948,990
Total Potential Reach
64
Median Follower Reach
228
75th Percentile Reach
6.6%
>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).
66.4%
Creators
33,189 accounts
16.3%
Consumers
8,132 accounts
17.4%
Dormant
8,679 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):
1,013
Verified Followers
1.0% of total
11,693
Protected Accounts
11.58% 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 |
|---|---|---|---|
| @JohnCena | 14,102,283 | Wrestler | Wrestling, Motivation, Self-promotion |
| @wojespn | 5,895,625 | Sports Journalist | NBA, Insider, Podcasting |
| @PatMcAfeeShow | 2,835,306 | Sports commentator | Sports, Betting, Entertainment |
| @RGIII | 2,206,462 | Athlete | Family, Football, Advocacy |
| @6BillionPeople | 2,035,269 | - | - |
| @thereallisaann | 1,993,213 | Sports Bettor | Fantasy Sports, Sports Betting, Podcast |
| @BarstoolBigCat | 1,644,244 | Sports commentator | Sports, Podcasting, Gambling |
| @Chris_Broussard | 1,437,837 | Sports Analyst | Sports, Media, Activism |
| @SinghLions | 1,334,554 | Restaurateur | Food, Travel, Influencer |
| @RexChapman | 1,254,685 | Commentator | Basketball, Horse racing, Commentary |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
53,430
Followers With Bio
47,569
Followers Without Bio
52.9%
% With Bio
47.1%
% 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 3,240 analyzed275,665
Combined Engagement
141,060
Total Likes
134,605
Total Retweets
55,133
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
Tom Brady just walked over to this little boy with :33 left in the game, handed him his hat and shook his hand… and the boy broke down in tears. Man, that one got me. https://t.co/UC7qA7MRkT
RT @BubbaWallace: Together https://t.co/D4zW3jA5y5
RT @TomBrady: FOREVER A PATRIOT https://t.co/QSBOJBs4uy
Breaking News: I just spoke to wide receiver Deebo Samuel — and he told me that he has asked the 49ers to trade him. He did not want to discuss specific reasons behind his request, but he has indeed let the 49ers know his desire to leave the organization. More to come.
I decided to go super investigatory. Here’s Brian Kelly saying “family” two days ago at Notre Dame… and Brian Kelly saying “family” today at LSU. Some of my best work. https://t.co/JTzuIA2s2n
Key Insights & Takeaways
His tweets often focus on emotional and human-interest stories that highlight the personal side of athletes. He frequently shares breaking news and insider information, which adds value to his audience's experience. His content is well-received, as evidenced by the high average likes and retweets per tweet.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 283,023
- + 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 @JeffDarlington reveals an well-established Twitter presence with 283,023 followers. The account demonstrates a content-creator strategy, averaging 525.2 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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