Chris Fedor
Cavs/NBA Reporter for @clevelanddotcom and The Plain Dealer - Host at 92.3 The Fan - [email protected] - Get it before Twitter via text: 216-584-9861
62,117
Followers
592
Following
98,332
Tweets
153.6
Avg Engagement
1,317
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ChrisFedor'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:2010-03-17
- Verification:No
- Location:Cleveland, OH
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:139.3
- Avg Retweets per Tweet:14.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,250 tweetsFedor's tweets typically receive a high number of likes and retweets, indicating strong audience interaction. His content is both informative and engaging, encouraging further discussion.
139.3
Avg Likes/Tweet
14.2
Avg Retweets/Tweet
452,882
Total Likes
46,268
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
58
Median Likes
3
Median Retweets
140
75th Percentile
67,621
Top Tweet
2.47
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
71.1%
Original
5.9%
Replies
4.6%
Retweets
18.3%
Quotes
0.0%
Threads
0.1%
With Media
48.4%
With Links
60.1%
With #Tags
15.2%
With @Mentions
1.0%
With Emojis
147
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.08
Reply/Original Ratio
3.93
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
72.4%
Weekday Posts
27.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 151 retweets (5% 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 3,250 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 audience primarily consists of NBA and Cavs fans, as well as sports enthusiasts. The content is tailored to provide insights and updates on the team and its players.
Average
Audience Quality
24.3%
Suspicion Index
33.8%
Low-Quality %
38
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
47.2%
Empty Bio
28.3%
<10 Tweets
9.9%
Mass Following (>2K)
0.0%
New (<90 days)
47.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.5%
No URL
20.3%
<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.
23,941,185
Total Potential Reach
38
Median Follower Reach
163
75th Percentile Reach
5.0%
>1K followers
0.8%
>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).
52.3%
Creators
5,232 accounts
19.3%
Consumers
1,934 accounts
28.3%
Dormant
2,834 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):
113
Verified Followers
1.13% of total
1,016
Protected Accounts
10.16% of total
5 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 | 14,075,852 | Wrestler | Wrestling, Motivation, Self-promotion |
| @rickyrubio9 | 2,802,095 | Basketball Player | Basketball, Family, Fashion |
| @ZachLowe_NBA | 978,027 | Sports Journalist | NBA, Basketball, Analysis |
| @totalfratmove | 897,129 | Entertainment | fraternity, college, humor |
| @JenniferJJacobs | 367,534 | Journalist | Biden admin, Reporting, Iowa |
| @laurentbaheux | 246,819 | Photographe | Animaux sauvages, Photographie, Engagement |
| @estebanlamothe | 216,712 | Actor | Actor, Argentina, Cine |
| @MaryPatrux | 158,800 | Journaliste | Sport, Journalism, Paris2024 |
| @AmyTaylorNYC | 125,007 | - | - |
| @NickFriedell | 120,318 | Sports Journalist | NBA, reporter, ESPN |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,277
Followers With Bio
4,723
Followers Without Bio
52.77%
% With Bio
47.23%
% 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 3,250 analyzed89,310
Combined Engagement
73,037
Total Likes
16,273
Total Retweets
17,862
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
20%
With @Mentions
0%
With Links
Topical Analysis:
One of the most underrated great moments of covering the 4 straight Finals years was walking into the locker room, listening to music blaring from LeBron's speaker at his locker and hearing commercials play in between because he wouldn't pay to upgrade to commercial-free Pandora
RT @wojespn: BREAKING: Los Angeles Lakers star LeBron James has agreed on a two-year, $97.1 million contract extension – including a player option for the 2024-2025 season, @KlutchSports CEO Rich Paul tells ESPN. James had been entering final year of deal worth $44.5M.
#Cavs Jarrett Allen on whether he knew, when he left Philly the other night, that Kevin Love wanted a buyout: "I did not. I was told he was going for milk and cigarettes and he just never came back."
#Cavs Donovan Mitchell ended his press conference tonight with prayers out to Buffalo Bills player Damar Hamlin.
#Cavs coach J.B. Bickerstaff admitted postgame that he knew how close Kevin Love was to a triple-double. The two had a conversation about keeping Love on the court a little longer but Love told him to do right by the game and take him out to give the other guys a chance.
Key Insights & Takeaways
Fedor's tweets often include behind-the-scenes moments and player interviews, which add depth to his coverage. He frequently shares personal reflections and insights from his reporting experience, which resonate with his audience. His use of hashtags and direct engagement with followers helps to build a sense of community around his content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 62,117
- + 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 @ChrisFedor reveals an well-established Twitter presence with 62,117 followers. The account demonstrates a content-creator strategy, averaging 153.6 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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