Camilla Di Giuseppe
@CTVCalgary News Anchor • RTDNA 🏆 • Aspiring 🪴 mama • YYZ born • Now YYC • Proud 🇨🇦 via 🇮🇹🇪🇨 heritage•
10,674
Followers
5,018
Following
33,774
Tweets
154.5
Avg Engagement
397
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CTV_CAMILLA'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:2009-02-20
- Verification:No
- Location:Calgary, AB
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:6.1
- Avg Retweets per Tweet:148.5
- Followers Analyzed:10,749
Engagement Analysis
Based on 500 tweetsHer tweets typically receive moderate engagement, with an average of 90 likes and 7 retweets. The engagement is likely driven by her local relevance and personal anecdotes.
6.1
Avg Likes/Tweet
148.5
Avg Retweets/Tweet
3,044
Total Likes
74,227
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
4
75th Percentile
28,048
Top Tweet
14.48
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
11.0%
Original
77.4%
Replies
3.8%
Retweets
7.8%
Quotes
0.0%
Threads
3.4%
With Media
24.4%
With Links
14.4%
With #Tags
82.6%
With @Mentions
33.6%
With Emojis
102
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
7.04
Reply/Original Ratio
2.05
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.2%
Weekday Posts
23.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 500 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 19 retweets (4% 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 500 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 10,749 followersHer audience includes locals in Calgary and Alberta, as well as followers interested in local news and events. The mix of professional and personal content appeals to a broad demographic.
Good
Audience Quality
13.6%
Suspicion Index
13.7%
Low-Quality %
296
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
21.5%
Empty Bio
10.5%
<10 Tweets
20.9%
Mass Following (>2K)
0.0%
New (<90 days)
16.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
50.5%
No URL
6.0%
<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.
199,823,659
Total Potential Reach
296
Median Follower Reach
1,065
75th Percentile Reach
26.0%
>1K followers
4.7%
>10K followers
1.3%
>50K followers
0.8%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
74.0%
Creators
7,957 accounts
15.4%
Consumers
1,659 accounts
10.5%
Dormant
1,133 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):
472
Verified Followers
4.39% of total
719
Protected Accounts
6.69% of total
11 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 |
|---|---|---|---|
| @BarackObama | 132,922,839 | Politician | Family, Leadership, Citizenship |
| @JohnCena | 14,105,717 | Wrestler | Wrestling, Motivation, Self-promotion |
| @CocaCola | 3,399,883 | Beverage Marketing | Magic, Coca-Cola, Sip |
| @Zappos | 2,319,115 | Retailer | shoes, clothing, customer service |
| @PaulaAbdul | 1,968,798 | Singer | Dance, Music, Love |
| @CTVNews | 1,777,232 | News outlet | news, breaking news, national |
| @StartupPro | 982,029 | Entrepreneurship | Entrepreneurship, Technology, Investing |
| @MilesSTEREOS | 862,127 | Musician | Guitarist, Writer, Producer |
| @strombo | 843,591 | Broadcaster | Music, Motorcycles, Pho |
| @ZachBoychuk | 830,516 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
8,439
Followers With Bio
2,310
Followers Without Bio
78.51%
% With Bio
21.49%
% 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 500 analyzed73,518
Combined Engagement
0
Total Likes
73,518
Total Retweets
14,704
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @ABC: BREAKING: Barbara Walters, who shattered the glass ceiling and became a dominant force in an industry once dominated by men, has d…
RT @RoyalFamily: ‘May flights of Angels sing thee to thy rest.’ In loving memory of Her Majesty The Queen. 1926 - 2022 https://t.co/byh5u…
RT @LisaLaFlamme_: I have some news... https://t.co/lTe3Rs0kOA
RT @sophieraworth: As the sun set over Westminster tonight…the crowd gasped. Taken from @bbc studio by @alexdoherty_tv https://t.co/VlZmLo9…
RT @SkyNews: 'You are the last person to join the queue.' This is the moment the last person was allowed to join the queue to see the Quee…
Key Insights & Takeaways
She frequently shares real-time updates on local weather and events, which likely contribute to her engagement. Her content often includes personal stories and interactions, which help build a connection with her audience. She uses location-based hashtags and mentions local landmarks, reinforcing her ties to the community.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 10,674
- + High community engagement through conversations
- + 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 @CTV_CAMILLA reveals an well-established Twitter presence with 10,674 followers. The account demonstrates a conversation-first approach, averaging 154.5 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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