Beatrice Achterberg
Im Zweifel für den Zweifel Redaktorin @NZZ @NZZde
13,015
Followers
665
Following
334
Tweets
415.3
Avg Engagement
57
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @BeaBovary'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:2021-08-25
- Verification:No
- Location:Berlin
Data Summary
- Tweets Analyzed:390
- Avg Likes per Tweet:205.1
- Avg Retweets per Tweet:210.3
- Followers Analyzed:8,795
Engagement Analysis
Based on 390 tweetsHer tweets receive a high number of likes and retweets, indicating strong audience interaction. The engagement suggests her content resonates with people who value in-depth analysis and debate.
205.1
Avg Likes/Tweet
210.3
Avg Retweets/Tweet
79,981
Total Likes
82,000
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6
Median Likes
2
Median Retweets
259
75th Percentile
14,204
Top Tweet
31.91
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
13.6%
Original
59.0%
Replies
23.8%
Retweets
3.6%
Quotes
0.0%
Threads
0.3%
With Media
43.3%
With Links
5.9%
With #Tags
85.1%
With @Mentions
7.9%
With Emojis
155
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
4.34
Reply/Original Ratio
0.15
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
70.5%
Weekday Posts
29.5%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 390 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 93 retweets (24% 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 390 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 8,795 followersHer audience is likely politically engaged individuals interested in current affairs and public health debates. They are drawn to her critical and sometimes provocative take on societal issues.
Good
Audience Quality
19.1%
Suspicion Index
25.8%
Low-Quality %
91
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.3%
Empty Bio
16.8%
<10 Tweets
14.7%
Mass Following (>2K)
0.0%
New (<90 days)
33.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.2%
No URL
12.3%
<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.
28,483,102
Total Potential Reach
91
Median Follower Reach
443
75th Percentile Reach
14.6%
>1K followers
2.1%
>10K followers
0.4%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
71.5%
Creators
6,287 accounts
11.7%
Consumers
1,033 accounts
16.8%
Dormant
1,475 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):
121
Verified Followers
1.38% of total
652
Protected Accounts
7.41% of total
5 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 | 14,106,467 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,094 | - | - |
| @MickyBeisenherz | 307,948 | Entertainer | Comedy, TV, Journalism |
| @jreichelt | 216,481 | Journalist | News, Journalism, Politics |
| @matthewtoren | 188,270 | Entrepreneur | Entrepreneur, Investor, Pickleball |
| @ronzheimer | 179,911 | Journalist | Journalism, Reporting, News |
| @DonJoschi | 174,721 | Content Creator | Travel, Photography, Food |
| @wierdduk | 157,480 | Journalist | History, Journalism, Politics |
| @cyb3rops | 149,939 | Cybersecurity Expert | DFIR, YARA, ThreatIntel |
| @argonerd | 119,061 | Activist | Privilegien, Liebe, Privat |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,340
Followers With Bio
3,455
Followers Without Bio
60.72%
% With Bio
39.28%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 390 analyzed41,555
Combined Engagement
5,702
Total Likes
35,853
Total Retweets
8,311
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @JanGold_: "We Failed" One of the largest newspapers in Denmark is apologizing for its journalistic failure during COVID-19 by only publishing official government messages without questioning them. Via @Niemandsknecht https://t.co/0DfZAOXduT
RT @davidzweig: 28. Whether by humans or algorithms, content that was contrarian but true was still subject to getting flagged or suppressed This tweet was labeled “Misleading,” even though the owner of this account, @_euzebiusz_, a physician, was referring to the results of a p
RT @davidzweig: 21. Internal emails show an “intent to action” by a moderator, saying Kulldorff’s tweet violated the company’s Covid-19 misinformation policy and claimed he shared “false information.” https://t.co/lq9QOP8h27
RT @DrJBhattacharya: There is no ethical or scientific reason to require neg. covid tests for unvaxxed people to participate in normal life when it is not required of vaxxed people. The vax doesn't stop disease spread. One day soon, people will be ashamed of their support of irra
Welch Ironie: Eine „Postfaschistin“ schafft die staatsautoritäre Impfpflicht für Arbeitnehmer ab https://t.co/mD2gmUjoVD
Key Insights & Takeaways
She often uses irony and sarcasm to critique political decisions and public health policies. Her tweets frequently highlight contradictions and hypocrisy in political rhetoric. She engages with complex and controversial topics, encouraging discussion and debate.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 13,015
- + 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 @BeaBovary reveals an well-established Twitter presence with 13,015 followers. The account demonstrates a conversation-first approach, averaging 415.3 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.
Need Programmatic Access?
We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.
Register Interest for API Access