Channel 3 News
The region’s original news station. Vermont’s Own. WCAX Channel 3 – VT-NY-NH
64,403
Followers
664
Following
158,155
Tweets
1.7
Avg Engagement
742
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @wcax'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:2007-10-23
- Verification:No
- Location:Burlington, VT
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:1.5
- Avg Retweets per Tweet:0.2
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,250 tweetsOn average, tweets receive around 107 likes and 12 retweets, indicating moderate engagement. The account's content is likely shared by followers interested in current events and local news.
1.5
Avg Likes/Tweet
0.2
Avg Retweets/Tweet
4,730
Total Likes
682
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
2
75th Percentile
381
Top Tweet
0.03
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
99.2%
Original
0.6%
Replies
0.1%
Retweets
0.1%
Quotes
0.0%
Threads
0.2%
With Media
99.9%
With Links
55.4%
With #Tags
22.1%
With @Mentions
0.0%
With Emojis
120
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.01
Reply/Original Ratio
0.5
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
89.1%
Weekday Posts
10.9%
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 4 retweets (0% 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 9,998 followersThe audience is likely residents of Vermont, New York, and New Hampshire, interested in local and regional news. They may include educators, community leaders, and individuals following state and national politics.
Below Average
Audience Quality
35.7%
Suspicion Index
54.2%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
60.2%
Empty Bio
57.8%
<10 Tweets
7.3%
Mass Following (>2K)
0.0%
New (<90 days)
63.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.3%
No URL
48.2%
<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.
18,883,685
Total Potential Reach
3
Median Follower Reach
36
75th Percentile Reach
3.2%
>1K followers
0.5%
>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).
26.4%
Creators
2,637 accounts
15.8%
Consumers
1,581 accounts
57.8%
Dormant
5,780 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):
60
Verified Followers
0.6% of total
824
Protected Accounts
8.24% of total
4 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 | 14,074,989 | Wrestler | Wrestling, Motivation, Self-promotion |
| @zoecello | 897,211 | Cellist | music, cello, charismatic |
| @JenniferJJacobs | 367,586 | Journalist | Biden admin, Reporting, Iowa |
| @davenewworld_2 | 289,171 | Reporter | Racism, Reporting, Media |
| @KimMangone | 249,557 | Engineer | Single Mom, USAF Vet, Engineer |
| @schadjoe | 234,985 | Sports Journalist | Miami Dolphins, Journalist, Sports |
| @StevenTDennis | 170,468 | Journalist | Politics, Journalism, Real Estate |
| @SufianSamarrai | 139,661 | Journalist | Politics, Journalism, Opinion |
| @MattPutorti | 119,886 | Lawyer | Politics, Law, Community |
| @WTEN | 90,126 | News Reporter | News, Local, Leader |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
3,983
Followers With Bio
6,017
Followers Without Bio
39.83%
% With Bio
60.17%
% 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 3,250 analyzed974
Combined Engagement
882
Total Likes
92
Total Retweets
195
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
Mass. middle schoolers destroyed Pride decor, chanted ‘my pronouns are USA,’ officials say https://t.co/KPhtKElfak https://t.co/C73V2gTkSz
Meghan to receive Ms. Foundation’s Women of Vision Award https://t.co/SGcV6b1qX9 https://t.co/6nDPO4DwgM
Scott vetoes clean heat bill #VT https://t.co/WacCdhq5yB https://t.co/jO8f7PIyDx
#Vt celebrates 55th anniversary of billboard ban https://t.co/Jq0LIIPoBE https://t.co/DiHEaonqXe
Vermont Congresswoman @RepBeccaB has introduced a resolution to expel Republican Rep. George Santos from the U.S. House. #Vt https://t.co/17WkpfI62P
Key Insights & Takeaways
The account frequently covers local and state-level news, including political actions and community events. It shares links to detailed articles, suggesting a focus on in-depth reporting. The content often reflects regional issues, such as education and public policy.
Strengths
- + Established follower base of 64,403
- + 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 @wcax reveals an growing Twitter presence with 64,403 followers. The account demonstrates a content-creator strategy, averaging 1.7 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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