CBC
The official CBC Twitter. Bringing you the best of Canada 🎨🏅📺🇨🇦📱📚🎶
734,770
Followers
73,135
Following
151,937
Tweets
29.2
Avg Engagement
3,793
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CBC'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:2008-08-28
- Verification:Yes
- Location:Canada
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:11.3
- Avg Retweets per Tweet:17.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsCBC's tweets receive moderate engagement with an average of 534 likes and 84 retweets per tweet. The account uses a mix of promotional and celebratory content to drive interaction.
11.3
Avg Likes/Tweet
17.8
Avg Retweets/Tweet
36,776
Total Likes
57,974
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
5
Median Retweets
27
75th Percentile
3,090
Top Tweet
0.04
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
57.8%
Original
1.4%
Replies
40.3%
Retweets
0.4%
Quotes
0.0%
Threads
0.9%
With Media
69.2%
With Links
8.7%
With #Tags
97.6%
With @Mentions
8.5%
With Emojis
149
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.03
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
83.2%
Weekday Posts
16.8%
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 1,309 retweets (40% 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 50,000 followersThe audience includes Canadians and international followers interested in Canadian media, entertainment, and news. It also targets fans of specific shows and cultural content.
Below Average
Audience Quality
38.6%
Suspicion Index
59.8%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
67.4%
Empty Bio
62.7%
<10 Tweets
3.8%
Mass Following (>2K)
0.0%
New (<90 days)
72.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.8%
No URL
52.1%
<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.
20,312,129
Total Potential Reach
3
Median Follower Reach
19
75th Percentile Reach
2.0%
>1K followers
0.2%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
21.0%
Creators
10,497 accounts
16.3%
Consumers
8,158 accounts
62.7%
Dormant
31,345 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):
563
Verified Followers
0.56% of total
8,085
Protected Accounts
8.01% of total
3 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 |
|---|---|---|---|
| @jordanbpeterson | 4,115,338 | Psychologist | Education, Psychology, Podcasts |
| @latimes | 3,985,690 | News outlet | News, California, Journalism |
| @SirKunt | 2,254,213 | - | - |
| @gtconway3d | 2,197,391 | Lawyer | Lawyer, Columnist, Corgi |
| @ThuliMadonsela3 | 1,738,957 | Advocate | Social Justice, Advocate, Governance |
| @SamiraIbrahim4 | 941,784 | Journalist | Journalism, Personal, Retweets |
| @MilesSTEREOS | 861,707 | Musician | Guitarist, Writer, Producer |
| @TarekFatah | 812,468 | Columnist | Islamism, Marxism, Politics |
| @CalvinHelin | 585,236 | Author | empowerment, responsibility, self-reliance |
| @alexstubb | 469,711 | Academic | Books, Sports, Ironman |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
36,531
Followers With Bio
64,467
Followers Without Bio
36.17%
% With Bio
63.83%
% 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 analyzed8,346
Combined Engagement
3,793
Total Likes
4,553
Total Retweets
1,669
Avg per Tweet
Key Metrics for Viral Tweets
20%
With Media
20%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
RT @SchittsCreek: Seven years ago today, we met the Rose family. https://t.co/6BP2CS51te
Woof! Woof! Bark! Woof! CBC! Bark! 🐶 Translation: Calling all dogs! Have you ever wanted the chance to be a model for our CBC platform? Tell your human to submit that gorgeous photo of you by replying to this tweet for a chance to be featured on International Dog Day! 🐶
Ernie Coombs would be 95 years old today. Happy Birthday Mr. Dressup! 🥳🎂❤️ | #MrDressup https://t.co/ftqu2JQMX6
A Rose family classic. (📺: @SchittsCreek) https://t.co/EiYxsRUzU3
RT @cbcsports: It had to be done. https://t.co/kxrmJAldBx
Key Insights & Takeaways
CBC emphasizes Canadian identity and cultural pride through its content. The account uses a mix of promotional and nostalgic content to engage followers. It leverages popular shows and iconic figures to maintain relevance and connection with the audience.
Strengths
- + Established follower base of 734,770
- + 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 @CBC reveals an growing Twitter presence with 734,770 followers. The account demonstrates a content-creator strategy, averaging 29.2 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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