Sasha Alsberg
#1 NYT Bestselling Author, rep’d by @JoSVolpe 📖 Social Media Manager at @joffebooks ✨
53,204
Followers
1,052
Following
26,068
Tweets
1,353.6
Avg Engagement
321
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @sashaalsberg'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: Mid-Tier (10K+)
- Account Age:2011-03-19
- Verification:No
- Location:London
Data Summary
- Tweets Analyzed:3,184
- Avg Likes per Tweet:96.5
- Avg Retweets per Tweet:1,257.1
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,184 tweetsHer tweets receive high engagement with an average of 2,383 likes and 2,430 retweets, indicating a highly interactive and interested audience.
96.5
Avg Likes/Tweet
1,257.1
Avg Retweets/Tweet
307,236
Total Likes
4,002,645
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
15
Median Likes
1
Median Retweets
136
75th Percentile
206,241
Top Tweet
25.44
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
39.9%
Original
43.1%
Replies
11.5%
Retweets
5.4%
Quotes
0.0%
Threads
0.8%
With Media
43.7%
With Links
9.4%
With #Tags
56.8%
With @Mentions
40.0%
With Emojis
90
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.08
Reply/Original Ratio
0.47
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
74.6%
Weekday Posts
25.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,184 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 367 retweets (12% 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 3,184 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 followersHer audience includes book lovers, aspiring authors, and social media professionals interested in content creation and storytelling.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
26
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
74.8%
No URL
100.0%
<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.
23,905,651
Total Potential Reach
26
Median Follower Reach
151
75th Percentile Reach
7.3%
>1K followers
1.1%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
9,998 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):
0
Verified Followers
0.0% of total
1,284
Protected Accounts
12.84% 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 |
|---|---|---|---|
| @shanedawson | 8,101,320 | YouTuber | Merchandise, YouTube, Comedy |
| @melindagates | 2,519,594 | Philanthropist | Philanthropy, Women's Rights, Business |
| @AndrewYang | 1,679,266 | Entrepreneur | Entrepreneur, UBI, Human-Centered Economy |
| @PhillyD | 1,177,550 | News YouTuber | News, YouTube, Commentary |
| @EdKrassen | 978,291 | Journalist | Politics, Journalism, Author |
| @rogerhamilton | 920,867 | Entrepreneur | education, entrepreneurship, futurism |
| @stacyplays | 678,027 | YouTuber | animals, writing, YouTube |
| @eugenegu | 448,617 | Doctor | Coronavirus, Tobacco Addiction, Telemedicine |
| @BJMendelson | 446,355 | - | - |
| @SeanMaxwell | 428,410 | Photographer | Photography, Videography, Acting |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,417
Followers With Bio
2,583
Followers Without Bio
74.17%
% With Bio
25.83%
% 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 3,184 analyzed930,517
Combined Engagement
0
Total Likes
930,517
Total Retweets
186,103
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @lekurokami: I’m crying 😭 https://t.co/D7nVJRvC5o
RT @aussiesdointhgs: Why every parent should own a nanny cam https://t.co/c26PA90kfg
RT @ladygaga: What’s fortnight
RT @ultrabrilliant: One second from every episode of Game of Thrones. https://t.co/rFz2CFLwBx
RT @WriteinBK: Forced birth in a country that doesn’t have mandatory maternity leave or universal healthcare…
Key Insights & Takeaways
She shares personal and historical stories that resonate emotionally with her audience She promotes her books and other authors, highlighting her role in the publishing industry She uses social media to express personal excitement and support for cultural figures like Halle Bailey
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 53,204
- + 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 @sashaalsberg reveals an exceptionally influential Twitter presence with 53,204 followers. The account demonstrates a conversation-first approach, averaging 1,353.6 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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