2,413,147
Followers
142
Following
1,504
Tweets
7,534.5
Avg Engagement
1,001
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @camilamendes'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: Mega Influencer (1M+)
- Account Age:2016-03-15
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:1,486
- Avg Likes per Tweet:6,408.2
- Avg Retweets per Tweet:1,126.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,486 tweetsHer tweets receive high engagement, with an average of 97,334 likes and 16,298 retweets per post.
6,408.2
Avg Likes/Tweet
1,126.3
Avg Retweets/Tweet
9,522,643
Total Likes
1,673,686
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1,215
Median Likes
335
Median Retweets
9,297
75th Percentile
203,954
Top Tweet
3.12
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
40.8%
Original
16.7%
Replies
28.7%
Retweets
13.7%
Quotes
0.0%
Threads
0.9%
With Media
56.6%
With Links
35.1%
With #Tags
51.5%
With @Mentions
27.3%
With Emojis
89
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.41
Reply/Original Ratio
0.48
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
84.3%
Weekday Posts
15.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,486 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 427 retweets (29% 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 1,486 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 followersHer followers are likely fans of her acting career and personal life, with a significant interest in entertainment news.
Below Average
Audience Quality
35.0%
Suspicion Index
48.2%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.1%
Empty Bio
56.0%
<10 Tweets
3.6%
Mass Following (>2K)
0.0%
New (<90 days)
73.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.2%
No URL
45.3%
<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.
15,187,748
Total Potential Reach
3
Median Follower Reach
21
75th Percentile Reach
1.9%
>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).
26.8%
Creators
13,400 accounts
17.2%
Consumers
8,623 accounts
56.0%
Dormant
27,977 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):
141
Verified Followers
0.14% of total
14,327
Protected Accounts
14.33% of total
2 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 |
|---|---|---|---|
| @McDonalds | 4,768,582 | Fast Food | Fast Food, Grimace, Friendship |
| @InStyle | 4,261,816 | Fashion influencer | Fashion, Beauty, Lifestyle |
| @MichaelKors | 3,362,646 | Fashion Designer | luxury, accessories, designer |
| @TeenVogue | 3,278,720 | Fashion Editor | Fashion, Beauty, Empowerment |
| @DiscussingFilm | 959,150 | Film Critic | Movies, TV, Pop Culture |
| @rudymancuso | 888,172 | Musician | Music, Comedy, Acting |
| @IndieWire | 805,085 | Media | Film, TV, Industry |
| @EugeneLeeYang | 803,400 | Multimedia Creator | Writing, Directing, Acting |
| @NicoleBahls | 525,207 | Atriz e apresentadora | Atriz, Apresentadora, Contato Profissional |
| @zammit_marc | 388,036 | Filmmaker | Film, Acting, Producing |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
53,433
Followers With Bio
46,567
Followers Without Bio
53.43%
% With Bio
46.57%
% 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 1,486 analyzed898,070
Combined Engagement
620,188
Total Likes
277,882
Total Retweets
179,614
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
wow i really slayed at the VMAs tonight didn’t i https://t.co/qwlpN4Pyor
just a Camila Mendes✨standing in front of the Twitterverse✨asking it to stop thinking she's a fan account for Camila Cabello & Shawn Mendes
season threee babyyy🤸🏽♀️ #riverdale https://t.co/jLRSGIvh7f
RT @kerbiegibbs: My dog's ear is like the perfect picture to show your hairdresser if you want beachy waves and caramel highlights https://…
in case you missed it https://t.co/3Ugl6odMaa
Key Insights & Takeaways
She leverages her celebrity status to connect with fans and promote her work. Her content often includes personal updates and references to her acting roles. She uses hashtags and links to drive interaction and visibility.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 2,413,147
- + 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 @camilamendes reveals an exceptionally influential Twitter presence with 2,413,147 followers. The account demonstrates a content-creator strategy, averaging 7,534.5 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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