Rachel Schraer
Senior reporter for @BBCNews and @BBCTrending, covering health and misinformation. Send me things to investigate: rachel.schraer@bbc.co. uk
11,903
Followers
3,080
Following
4,861
Tweets
306.2
Avg Engagement
215
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @rachelschraer'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:2012-04-14
- Verification:No
- Location:Debunk bed
Data Summary
- Tweets Analyzed:3,237
- Avg Likes per Tweet:19.4
- Avg Retweets per Tweet:286.8
- Followers Analyzed:11,418
Engagement Analysis
Based on 3,237 tweetsHer tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The engagement is consistent across her posts, suggesting a loyal and active following.
19.4
Avg Likes/Tweet
286.8
Avg Retweets/Tweet
62,850
Total Likes
928,365
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
5
75th Percentile
90,907
Top Tweet
25.73
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
13.7%
Original
68.3%
Replies
12.8%
Retweets
5.1%
Quotes
0.0%
Threads
0.3%
With Media
34.1%
With Links
2.5%
With #Tags
77.2%
With @Mentions
5.8%
With Emojis
160
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
4.97
Reply/Original Ratio
0.4
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
91.8%
Weekday Posts
8.2%
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 3,237 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 414 retweets (13% 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 3,237 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 11,418 followersHer audience includes news consumers, health professionals, and individuals interested in misinformation and public health. Her work reaches a broad audience interested in factual and timely health reporting.
Good
Audience Quality
18.0%
Suspicion Index
12.8%
Low-Quality %
440
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
21.0%
Empty Bio
7.5%
<10 Tweets
37.8%
Mass Following (>2K)
0.0%
New (<90 days)
21.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
66.9%
No URL
4.6%
<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.
75,493,278
Total Potential Reach
440
Median Follower Reach
1,777
75th Percentile Reach
35.0%
>1K followers
7.0%
>10K followers
1.5%
>50K followers
0.6%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
83.6%
Creators
9,542 accounts
9.0%
Consumers
1,023 accounts
7.5%
Dormant
853 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):
855
Verified Followers
7.49% of total
857
Protected Accounts
7.51% 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 | 14,106,670 | Wrestler | Wrestling, Motivation, Self-promotion |
| @lonelyplanet | 6,185,257 | Travel Blogger | travel, photography, videos |
| @verified | 4,201,244 | - | - |
| @MartinSLewis | 2,210,807 | Financial Expert | Money saving, tips, musings |
| @nikhilchinapa | 1,932,755 | Presenter | Music, Festivals, Entrepreneur |
| @DrEricDing | 783,062 | Epidemiologist | Epidemiology, Health, Whistleblower |
| @BBCNewsnight | 726,748 | News broadcaster | politics, current affairs, interviews |
| @carolecadwalla | 714,601 | Journalist | journalism, activism, parenting |
| @krishgm | 695,973 | Journalist | News, Unreported World, Podcast |
| @nolanwpeterson | 540,204 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
9,022
Followers With Bio
2,396
Followers Without Bio
79.02%
% With Bio
20.98%
% 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 3,237 analyzed297,591
Combined Engagement
0
Total Likes
297,591
Total Retweets
59,518
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @paulisci: A Brief History of Nobody Wants to Work Anymore 🧵
RT @duttypaul: In these covid times make sure u have the right temperature https://t.co/o0Tgju4CDJ
RT @MageOfSolitude: I relate to vampires because I, too, must be clearly and specifically invited in before I have the audacity to try to participate in anything
RT @youngbuckeen: Me when I get ten emails in a minute at work https://t.co/aMNjqawvzp
RT @Freddygray31: This must be the greatest typo ever. https://t.co/o9d5iCwzfR
Key Insights & Takeaways
She focuses on vaccine efficacy and transmission rates, highlighting key findings from clinical trials. Her role as a health disinformation reporter positions her as a trusted source in combating misinformation. She often addresses public concerns and provides clarity on complex health topics.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 11,903
- + 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 @rachelschraer reveals an well-established Twitter presence with 11,903 followers. The account demonstrates a conversation-first approach, averaging 306.2 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.
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