sophia grace
🤍✨ instagram: therealsophiagrace
207,331
Followers
7,060
Following
9,386
Tweets
115.1
Avg Engagement
473
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SophiaGrace'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:2011-10-06
- Verification:No
- Location:London, England
Data Summary
- Tweets Analyzed:2,853
- Avg Likes per Tweet:30.4
- Avg Retweets per Tweet:84.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,853 tweetsHer tweets typically receive a high number of likes, indicating strong audience interest. Retweets are also relatively common, suggesting her content is often shared within her community.
30.4
Avg Likes/Tweet
84.7
Avg Retweets/Tweet
86,728
Total Likes
241,644
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
4
Median Retweets
29
75th Percentile
55,975
Top Tweet
0.56
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
21.9%
Original
2.3%
Replies
75.7%
Retweets
0.1%
Quotes
0.0%
Threads
0.2%
With Media
64.6%
With Links
36.6%
With #Tags
82.6%
With @Mentions
53.0%
With Emojis
102
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.11
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.5%
Weekday Posts
27.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,853 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 2,160 retweets (76% 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 2,853 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 appears to be primarily young adults and teenagers interested in entertainment, fashion, and pop culture. The audience is likely engaged with content that includes personal updates and viral moments.
Average
Audience Quality
23.4%
Suspicion Index
27.8%
Low-Quality %
33
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.5%
Empty Bio
29.2%
<10 Tweets
11.8%
Mass Following (>2K)
0.0%
New (<90 days)
44.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.8%
No URL
17.1%
<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.
204,764,547
Total Potential Reach
33
Median Follower Reach
195
75th Percentile Reach
7.2%
>1K followers
1.5%
>10K followers
0.5%
>50K followers
0.4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
46.0%
Creators
23,022 accounts
24.7%
Consumers
12,363 accounts
29.2%
Dormant
14,615 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):
200
Verified Followers
0.2% of total
11,933
Protected Accounts
11.82% of total
9 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 |
|---|---|---|---|
| @britneyspears | 55,726,279 | Singer | Music, Dance, Fashion |
| @ShawnMendes | 26,416,281 | Singer | music, performing, philanthropy |
| @JohnCena | 14,099,782 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Camila_Cabello | 13,043,123 | Singer | Music, Humanitarian, Fashion |
| @enews | 11,893,387 | Entertainment News | Entertainment, Celebrities, Pop culture |
| @LittleMix | 11,652,628 | Singers | Music, Love, Album |
| @shanedawson | 8,198,675 | YouTuber | Merchandise, YouTube, Comedy |
| @CherLloyd | 6,368,107 | Singer | Music, Fashion, Collaboration |
| @BuzzFeed | 6,181,537 | Media | Quizzes, Buzzfeed, Data |
| @ALISHAMARIE | 4,760,373 | Influencer | Fashion, Beauty, Lifestyle |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
59,000
Followers With Bio
41,992
Followers Without Bio
58.42%
% With Bio
41.58%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 2,853 analyzed152,720
Combined Engagement
0
Total Likes
152,720
Total Retweets
30,544
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @justinbieber: #Beliebers
RT @TheEllenShow: More than ever, I’m grateful for every day. https://t.co/vMEtDUG7ds
RT @jacobsartorius: they say you are what you eat but it’s funny because i don’t remember eating a legend
RT @AlfredoFlores: 🙏🏾❤️ https://t.co/qAeUJtBLw2
RT @NICKIMINAJ: https://t.co/c0Yjx6Eypd
Key Insights & Takeaways
She frequently shares personal updates and milestones, which likely drive engagement. Her content often includes collaborations with other influencers, which can boost visibility and interaction. She uses a mix of personal and promotional content to maintain audience interest and relevance.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 207,331
- + 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 @SophiaGrace reveals an well-established Twitter presence with 207,331 followers. The account demonstrates a content-creator strategy, averaging 115.1 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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