Raven-Symonè
Me, Myself, and the people who support me!
549,693
Followers
3,831
Following
6,296
Tweets
456.2
Avg Engagement
15,127
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ravensymone'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:2009-06-09
- Verification:No
- Location:United States
Data Summary
- Tweets Analyzed:3,165
- Avg Likes per Tweet:227.4
- Avg Retweets per Tweet:228.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,165 tweetsHer tweets typically receive high engagement, with an average of 22k likes and 10k retweets. This indicates a strong and active community that values her content and updates.
227.4
Avg Likes/Tweet
228.8
Avg Retweets/Tweet
719,736
Total Likes
724,295
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
54
Median Likes
17
Median Retweets
228
75th Percentile
327,614
Top Tweet
0.83
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
62.8%
Original
26.6%
Replies
9.3%
Retweets
1.3%
Quotes
0.0%
Threads
0.7%
With Media
58.0%
With Links
45.4%
With #Tags
49.6%
With @Mentions
30.8%
With Emojis
76
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.42
Reply/Original Ratio
0.14
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
87.6%
Weekday Posts
12.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,165 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 293 retweets (9% 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 3,165 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 audience primarily consists of fans of 'That's So Raven' and Disney enthusiasts. They are engaged and supportive, often interacting with her tweets and sharing in the excitement.
Good
Audience Quality
19.9%
Suspicion Index
18.5%
Low-Quality %
65
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
28.1%
Empty Bio
14.8%
<10 Tweets
15.6%
Mass Following (>2K)
0.0%
New (<90 days)
47.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
83.4%
No URL
8.8%
<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.
95,578,104
Total Potential Reach
65
Median Follower Reach
261
75th Percentile Reach
7.7%
>1K followers
0.8%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
67.7%
Creators
33,862 accounts
17.4%
Consumers
8,715 accounts
14.8%
Dormant
7,423 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):
725
Verified Followers
0.73% of total
16,374
Protected Accounts
16.37% of total
8 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 | 14,105,085 | Wrestler | Wrestling, Motivation, Self-promotion |
| @lindsaylohan | 8,132,719 | Actress | Actress, Artist |
| @bellathorne | 6,413,615 | Actress | book, movie, love |
| @lilyachty | 5,422,324 | Rapper | Music, Fashion, Lifestyle |
| @DisneyPlus | 5,355,138 | Streaming Service | celebration, Hispanic/Latinx, entertainment |
| @IanMcKellen | 4,028,079 | Actor | acting, activism, theater |
| @wyclef | 3,735,412 | Musician | music, media, management |
| @DavidHenrie | 2,508,508 | Actor | husband, dad, content creator |
| @AlfredoFlores | 2,393,099 | Director/Photographer | Director, Photographer, Business |
| @MrsSOsbourne | 2,340,532 | TV Personality | Music, TV, Activism |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
69,792
Followers With Bio
30,208
Followers Without Bio
69.79%
% With Bio
30.21%
% 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 3,165 analyzed699,369
Combined Engagement
194,537
Total Likes
504,832
Total Retweets
139,874
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @POTUS: Today is a big step in our march toward equality. Gay and lesbian couples now have the right to marry, just like anyone else. #L…
Feels good to be back! :) #Disney #ThatsSoRaven https://t.co/rsQ2Qsurc1
RT @Zendaya: http://t.co/q0fOYrv3gc
RT @TheView: OH SNAP! @RavenSymone shares the details of her big news — a 'That's So Raven' spin-off: "I'm very excited!" https://t.co/ueJ…
RT @POTUS: Women can no longer be charged more for health coverage just for being women.
Key Insights & Takeaways
She frequently shares updates about the show and its reunion, which keeps her audience interested and connected. Her tweets often include hashtags related to the show, which helps in increasing visibility and engagement. She maintains a personal and relatable tone, which fosters a sense of community among her followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 549,693
- + 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 @ravensymone reveals an well-established Twitter presence with 549,693 followers. The account demonstrates a content-creator strategy, averaging 456.2 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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