Chloé S. Valdary 📚
Founder & student of @enchanttheory. Love, give us the fearlessness.
110,726
Followers
2,928
Following
30,209
Tweets
154.6
Avg Engagement
771
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @cvaldary'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:2011-09-28
- Verification:No
- Location:New York, NY via New Orleans
Data Summary
- Tweets Analyzed:3,212
- Avg Likes per Tweet:59.5
- Avg Retweets per Tweet:95.1
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,212 tweetsTheir tweets receive a high number of likes and retweets, indicating a strong level of engagement. The content is often polarizing, which contributes to the high interaction rates.
59.5
Avg Likes/Tweet
95.1
Avg Retweets/Tweet
191,050
Total Likes
305,577
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6
Median Likes
0
Median Retweets
40
75th Percentile
268,801
Top Tweet
1.4
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
17.3%
Original
66.1%
Replies
7.5%
Retweets
9.1%
Quotes
0.0%
Threads
0.0%
With Media
25.2%
With Links
1.0%
With #Tags
67.0%
With @Mentions
9.3%
With Emojis
140
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.81
Reply/Original Ratio
1.21
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
79.5%
Weekday Posts
20.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,212 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 240 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 3,212 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 followersTheir audience appears to be interested in cultural and political discourse, with a focus on identity and social issues. They likely attract followers who are engaged in debates around race, gender, and language.
Average
Audience Quality
24.4%
Suspicion Index
25.6%
Low-Quality %
59
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36.7%
Empty Bio
21.0%
<10 Tweets
19.9%
Mass Following (>2K)
0.0%
New (<90 days)
51.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
82.8%
No URL
14.4%
<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.
42,532,857
Total Potential Reach
59
Median Follower Reach
286
75th Percentile Reach
10.2%
>1K followers
1.7%
>10K followers
0.5%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
62.1%
Creators
6,208 accounts
16.9%
Consumers
1,686 accounts
21.0%
Dormant
2,104 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):
381
Verified Followers
3.81% of total
968
Protected Accounts
9.68% of total
6 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 | 14,093,706 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Trevornoah | 11,842,111 | Comedian | Comedy, South Africa, Rafiki |
| @djsbu | 1,046,269 | Entrepreneur | Investor, Hustler, Finance |
| @prageru | 938,174 | Education | Conservative, Education, Free Speech |
| @NOH8Campaign | 799,064 | Activism | equality, bullying, discrimination |
| @OccupyDemocrats | 551,957 | Political Activist | Progressive, Grassroots, Politics |
| @Reflog_18 | 545,143 | - | - |
| @Lauren_Southern | 514,412 | Author/Filmmaker | Politics, Filmmaking, Author |
| @WalshFreedom | 455,507 | Radio Host | Politics, Radio, Patriot |
| @iamprincekash | 408,684 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,325
Followers With Bio
3,675
Followers Without Bio
63.25%
% With Bio
36.75%
% 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 3,212 analyzed295,576
Combined Engagement
24,158
Total Likes
271,418
Total Retweets
59,115
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
40%
With Links
Topical Analysis:
RT @MarvelStudios: 11.11.22 https://t.co/nmrJhcpwsG
The term 'LatinX' strikes me as an attempt to reorient Spanish culture -- which is a culture that relishes the beauty of the masculine and the feminine -- into a hyper-cartesian, mechanical, disembodied paradigm. And as Spanish was my first love, that really saddens me.
My God, Did Trevor not realize that this was precisely Rogan and Peterson's point, that this rule is stupid, and that blackness and whiteness are made up things? Did the Daily Beast not realize it either? Are all ya'll just doing things for clicks?? Sighhhh. https://t.co/btqKuL
One of the things I've learned recently is that we are responsible for the things that trigger us. If something triggers me it's my responsibility to unpack myself and my relationship to that which triggers me and ask myself "why", "how come," etc; not attack the messenger.
Beware the counter-dependency trap: It is the trap where your identity becomes gradually dependent on countering other's. As you fall into this trap, you will begin to imitate the very person/ideology/movement you're countering. A spirit of vengeance will blind you to this.
Key Insights & Takeaways
cvaldary's tweets often challenge mainstream narratives around race and identity, suggesting a critical stance toward political correctness and cultural reorientation. They emphasize personal responsibility in triggering situations, indicating a focus on individual accountability in social interactions. Their use of terms like 'LatinX' and discussions around Spanish culture suggest an interest in cultural authenticity and the evolution of identity labels.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 110,726
- + 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 @cvaldary reveals an well-established Twitter presence with 110,726 followers. The account demonstrates a conversation-first approach, averaging 154.6 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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