Chris Bradley
Weather geek! I am chief meteorologist at WBNS-10TV, Central Ohio's News Leader.
92,568
Followers
3,524
Following
16,799
Tweets
36.2
Avg Engagement
254
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Chris10TV'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:2009-01-06
- Verification:No
- Location:Columbus, Ohio, USA
Data Summary
- Tweets Analyzed:3,179
- Avg Likes per Tweet:30.7
- Avg Retweets per Tweet:5.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,179 tweetsHis tweets receive high engagement with likes and retweets, indicating a loyal and active audience. The personal health updates resonate well with followers.
30.7
Avg Likes/Tweet
5.5
Avg Retweets/Tweet
97,702
Total Likes
17,351
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
7
Median Likes
1
Median Retweets
16
75th Percentile
7,327
Top Tweet
0.39
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
71.0%
Original
9.4%
Replies
7.2%
Retweets
12.4%
Quotes
0.0%
Threads
2.9%
With Media
81.2%
With Links
68.7%
With #Tags
21.3%
With @Mentions
1.6%
With Emojis
108
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.13
Reply/Original Ratio
1.72
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.6%
Weekday Posts
22.4%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 3,179 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 229 retweets (7% 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 3,179 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 are likely interested in weather news and personal stories. The audience seems to value both professional expertise and emotional support.
Below Average
Audience Quality
39.6%
Suspicion Index
63.7%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
72.2%
Empty Bio
64.6%
<10 Tweets
3.7%
Mass Following (>2K)
0.0%
New (<90 days)
72.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.0%
No URL
55.2%
<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.
4,185,401
Total Potential Reach
2
Median Follower Reach
18
75th Percentile Reach
1.8%
>1K followers
0.2%
>10K followers
0.1%
>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).
21.4%
Creators
2,141 accounts
14.0%
Consumers
1,397 accounts
64.6%
Dormant
6,462 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):
20
Verified Followers
0.2% of total
763
Protected Accounts
7.63% of total
7 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 |
|---|---|---|---|
| @6BillionPeople | 2,024,971 | - | - |
| @TheRichardLewis | 239,603 | Journalist | Comedy, Esports, Politics |
| @HarryGoaz | 234,459 | - | - |
| @DispatchAlerts | 209,719 | News outlet | OhioState, Buckeye, news |
| @DrEricGrabowsky | 159,902 | Academic | Rhetorical Studies, Freelance Journalism, Communication Consulting |
| @michaelrulli | 118,171 | - | - |
| @DeepakNandaVC | 77,976 | Venture Capitalist | Tech, Entrepreneur |
| @Alzheimerebook | 52,529 | Advocacy | Alzheimer's, Fear, Stigmas |
| @DNABARCODE | 42,835 | Biotech | RNA analysis, disease detection, health monitoring |
| @dannyoconnor1 | 33,387 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
2,785
Followers With Bio
7,215
Followers Without Bio
27.85%
% With Bio
72.15%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,179 analyzed27,180
Combined Engagement
25,502
Total Likes
1,678
Total Retweets
5,436
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
0%
With @Mentions
80%
With Links
Topical Analysis:
Sad news --- Chris Bradley's family wishes for peace as he'll be moving to hospice soon. Thank you for all your love and support
Closer to remission! My leukemia numbers have dropped from 90% to 7% in two months. Feeling blessed! #10TV https://t.co/bZKv2XFU5f
Good news to share! My leukemia numbers dropped from 43% to 20% in June. Praise God and thank you for your prayers #10TV #BradleyStrong https://t.co/GofJ5rZAqj
Miracles are real! My leukemia numbers are down by 2/3rds! A bone marrow transplant is likely this Spring. Thank your for all the prayers and support. #10tv https://t.co/S928AbLMBk
Asking for prayers ahead of Thursday's bone marrow biopsy. If the leukemia numbers fall--I'll be one step closer to a transplant. No one fights alone! #10TV https://t.co/paVdHQ8gqz
Key Insights & Takeaways
High engagement suggests a loyal and supportive audience. Personal health updates are a significant part of his content and drive engagement. Professional weather updates are a core part of his identity and audience interest.
Strengths
- + Established follower base of 92,568
- + 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 @Chris10TV reveals an growing Twitter presence with 92,568 followers. The account demonstrates a content-creator strategy, averaging 36.2 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.
Need Programmatic Access?
We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.
Register Interest for API Access