Jeff Dickerson
ESPN NFL Nation Chicago Bears reporter, https://espn.com/, ESPN Radio network host (Dickerson & Hood), ABC 7, Loyola TV analyst, ESPN 1000, proud father.
94,323
Followers
712
Following
31,807
Tweets
108.1
Avg Engagement
2,796
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DickersonESPN'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:2009-07-30
- Verification:No
- Location:ÜT: 42.001311,-87.937392
Data Summary
- Tweets Analyzed:3,200
- Avg Likes per Tweet:73.0
- Avg Retweets per Tweet:35.1
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,200 tweetsHis tweets consistently receive high engagement, indicating a loyal and active audience. The average likes and retweets suggest his content is both informative and shareable.
73.0
Avg Likes/Tweet
35.1
Avg Retweets/Tweet
233,618
Total Likes
112,416
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
24
Median Likes
2
Median Retweets
78
75th Percentile
25,966
Top Tweet
1.15
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
72.4%
Original
3.9%
Replies
16.6%
Retweets
7.1%
Quotes
0.0%
Threads
0.2%
With Media
29.0%
With Links
6.3%
With #Tags
29.0%
With @Mentions
1.9%
With Emojis
129
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.05
Reply/Original Ratio
0.42
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
62.7%
Weekday Posts
37.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,200 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 532 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 3,200 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 9,998 followersHis audience primarily consists of NFL fans, especially those interested in the Chicago Bears, and sports media enthusiasts. The content appeals to both casual and dedicated sports fans.
Average
Audience Quality
24.8%
Suspicion Index
31.0%
Low-Quality %
32
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.5%
Empty Bio
23.2%
<10 Tweets
10.8%
Mass Following (>2K)
0.0%
New (<90 days)
55.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.8%
No URL
15.4%
<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.
18,958,031
Total Potential Reach
32
Median Follower Reach
141
75th Percentile Reach
4.4%
>1K followers
0.7%
>10K followers
0.2%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
56.3%
Creators
5,628 accounts
20.5%
Consumers
2,048 accounts
23.2%
Dormant
2,322 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):
80
Verified Followers
0.8% of total
1,079
Protected Accounts
10.79% 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 |
|---|---|---|---|
| @JohnCena | 14,093,304 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Michael_Fabiano | 515,191 | Fantasy Analyst | Fantasy Football, Yankees, Cowboys |
| @ifindkarma | 216,352 | Advocate | compassion, kindness, giving |
| @Schultz_Report | 202,243 | Sports Analyst | Sports, Analysis, Podcasts |
| @espnSteveLevy | 123,435 | Sports Commentator | Sports, Bahamas, Family |
| @BoyEpic | 105,852 | Musician | music, art, NoGoodKids |
| @PabloViruega | 103,235 | Sports Commentator | Jesus, Familia, Trabajo |
| @TheMarsSociety | 98,956 | Advocacy | Exploration, Settlement, Advocacy |
| @STARFORCEHH | 90,684 | TV Personality | History, Travel, Tattoos |
| @MoEgger | 82,895 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,352
Followers With Bio
4,648
Followers Without Bio
53.52%
% With Bio
46.48%
% 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 3,200 analyzed40,306
Combined Engagement
9,963
Total Likes
30,343
Total Retweets
8,061
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
0%
With Links
Topical Analysis:
RT @AdamSchefter: Detroit is dealing QB Matthew Stafford to the Los Angeles Rams in exchange for two future first-round picks, a third-round pick and QB Jared Goff, per sources. Two former No. 1 overall picks trading places in the first blockbuster NFL trade of 2021.
Matt Nagy said the Bears took precious time out of their days during the week to show clips of Saints DB C.J. Gardner-Johnson in order to reinforce that’s he’s a huge instigator and to warn players not to take the bait. Anthony Miller didn’t get the memo.
The Bears have no business playing on Sunday night in Week 16. Sorry, America.
RT @AdamSchefter: Jimmy Graham to the Bears on a two-year, $16 million deal, including $9 million guaranteed, per source.
Bears WR Allen Robinson (free agent) said repeatedly this morning that everything is on the table in terms of his future but added in regards to the Bears, "I personally feel like we had an opportunity to be able to get something done over the past 365 days."
Key Insights & Takeaways
He often provides critical analysis of team strategies and player decisions. He highlights key moments and quotes from NFL insiders and players. He uses his platform to express opinions on team performance and future directions.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 94,323
- + 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 @DickersonESPN reveals an well-established Twitter presence with 94,323 followers. The account demonstrates a content-creator strategy, averaging 108.1 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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