Alexia Bonatsos
Scrolling saves.
161,582
Followers
6,362
Following
417
Tweets
10.4
Avg Engagement
5,034
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @alexia'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:2008-12-23
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:191
- Avg Likes per Tweet:3.2
- Avg Retweets per Tweet:7.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 191 tweetsHer tweets receive an average of 24 likes and 4 retweets, suggesting a moderate level of interaction. The engagement is consistent across her posts.
3.2
Avg Likes/Tweet
7.2
Avg Retweets/Tweet
610
Total Likes
1,372
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
1
Median Retweets
9
75th Percentile
138
Top Tweet
0.06
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
25.7%
Original
29.3%
Replies
40.8%
Retweets
4.2%
Quotes
0.0%
Threads
1.0%
With Media
37.7%
With Links
1.6%
With #Tags
78.5%
With @Mentions
14.1%
With Emojis
99
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.14
Reply/Original Ratio
0.1
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
89.0%
Weekday Posts
11.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 191 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 78 retweets (41% 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 191 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 likely include tech enthusiasts and AI curious individuals. The audience seems interested in discussions around AI and its real-world applications.
Average
Audience Quality
25.0%
Suspicion Index
26.3%
Low-Quality %
118
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
33.4%
Empty Bio
26.9%
<10 Tweets
24.6%
Mass Following (>2K)
0.0%
New (<90 days)
42.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
62.8%
No URL
19.2%
<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.
194,458,697
Total Potential Reach
118
Median Follower Reach
551
75th Percentile Reach
17.0%
>1K followers
3.5%
>10K followers
1.0%
>50K followers
0.5%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
55.8%
Creators
27,902 accounts
17.3%
Consumers
8,636 accounts
26.9%
Dormant
13,462 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):
2,059
Verified Followers
2.04% of total
7,054
Protected Accounts
6.98% of total
10 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 | 14,100,817 | Wrestler | Wrestling, Motivation, Self-promotion |
| @jack | 6,523,847 | Cryptocurrency Trader | bitcoin, chill, #nostr |
| @miakhalifa | 5,446,678 | Former Adult Actress | immigrant, شيطان, 🪧 |
| @HugoGloss | 5,328,189 | Entertainment Blogger | Entertainment, Beyoncé, Brazil |
| @kevinjonas | 5,123,325 | Musician | Family, Music, Guitar |
| @CoryBooker | 4,808,148 | Politician | Politics, New Jersey, Social Justice |
| @jakepaul | 4,599,486 | Boxer | Boxing, Influencer, Content Creator |
| @MoezMasoud | 3,550,607 | Scholar | Cambridge Scholar, Cultural Critic, TV & Film Producer |
| @justinsuntron | 3,452,628 | Entrepreneur | Cryptocurrency, Blockchain, Technology |
| @Ripple | 2,629,529 | Finance | finance, technology, global payments |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
60,771
Followers With Bio
40,223
Followers Without Bio
60.17%
% With Bio
39.83%
% 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 191 analyzed578
Combined Engagement
0
Total Likes
578
Total Retweets
116
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @melodaysong: Most people need just one, max two, people in their lives who 100% wholeheartedly believe they can do the thing for them t…
RT @jefielding: Excited to announce a new $25M fund, global thesis and refreshed brand, Everywhere Ventures. Pre-seed founders around the w…
RT @mwseibel: Backstop SVB depositors to protect the world's startups: https://t.co/Xjkxc0IFRv
RT @soona: 1/ Over the last couple months, the predominant emotion driving the crypto market was fear and recently that's changed to apathy…
RT @vidythatte: Introducing Introspect ✨ a journal that asks you questions about your writing to help you reflect better. it's like a co-…
Key Insights & Takeaways
She often blends humor with tech topics, making her content relatable. Her tweets reflect a casual and conversational tone. She uses AI as a central theme, indicating a personal interest or expertise in the field.
Strengths
- + Established follower base of 161,582
- + 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 @alexia reveals an growing Twitter presence with 161,582 followers. The account demonstrates a conversation-first approach, averaging 10.4 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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