Rachel Tobac
Hacker & CEO @SocialProofSec security awareness/social engineering training, videos, talks | 3X @DEFCON🥈 | Chair @WISPorg | @CISAgov Technical Advisory Council
104,169
Followers
7,994
Following
22,826
Tweets
70.0
Avg Engagement
1,395
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @RachelTobac'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:2015-03-18
- Verification:No
- Location:San Francisco, CA
Data Summary
- Tweets Analyzed:3,232
- Avg Likes per Tweet:44.9
- Avg Retweets per Tweet:25.1
- Followers Analyzed:9,994
Engagement Analysis
Based on 3,232 tweetsHer tweets typically receive a high number of likes and retweets, indicating strong audience interaction. She frequently collaborates with other cybersecurity experts, which boosts her engagement metrics.
44.9
Avg Likes/Tweet
25.1
Avg Retweets/Tweet
145,008
Total Likes
81,075
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
0
Median Retweets
22
75th Percentile
25,797
Top Tweet
0.67
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
5.9%
Original
75.9%
Replies
14.4%
Retweets
3.7%
Quotes
0.0%
Threads
0.3%
With Media
28.3%
With Links
4.6%
With #Tags
83.9%
With @Mentions
10.4%
With Emojis
134
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
12.78
Reply/Original Ratio
0.26
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
84.1%
Weekday Posts
15.9%
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 3,232 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 465 retweets (14% 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 3,232 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 9,994 followersHer audience includes cybersecurity professionals, tech enthusiasts, and individuals interested in security awareness. Many follow her for practical insights and real-world examples of social engineering attacks.
Average
Audience Quality
20.8%
Suspicion Index
21.8%
Low-Quality %
88
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
31.6%
Empty Bio
17.2%
<10 Tweets
18.5%
Mass Following (>2K)
0.0%
New (<90 days)
42.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
77.4%
No URL
12.0%
<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.
30,952,430
Total Potential Reach
88
Median Follower Reach
355
75th Percentile Reach
12.3%
>1K followers
2.3%
>10K followers
0.5%
>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).
67.7%
Creators
6,766 accounts
15.1%
Consumers
1,513 accounts
17.2%
Dormant
1,715 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):
318
Verified Followers
3.18% of total
1,362
Protected Accounts
13.62% of total
8 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 | 14,093,325 | Wrestler | Wrestling, Motivation, Self-promotion |
| @RexChapman | 1,253,646 | Commentator | Basketball, Horse racing, Commentary |
| @BillKristol | 1,040,046 | Political Commentator | Politics, Journalism, Commentary |
| @Smart_CityLATAM | 1,028,546 | Smart City Expert | Smart Cities, Technology, Sustainability |
| @disinformatico | 418,074 | - | - |
| @CynthiaDRitchie | 329,762 | Filmmaker | Truth, Vulnerable, Writer |
| @DThompsonDev | 262,008 | Software Developer | Software dev, DevEcosystems, Public Speaking |
| @HerbertRSim | 227,478 | Investor | Economics, GeoPolitics, AI |
| @Loopifyyy | 208,174 | - | - |
| @ReignOfApril | 193,869 | Diversity Advocate | Diversity, Inclusion, Culture |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,846
Followers With Bio
3,154
Followers Without Bio
68.46%
% With Bio
31.54%
% 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 3,232 analyzed52,737
Combined Engagement
27,317
Total Likes
25,420
Total Retweets
10,547
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
20%
With Links
Topical Analysis:
Here’s how I used AI to clone a 60 Minutes correspondent’s voice to trick a colleague into handing over her passport number. I cloned Sharyn’s voice then manipulated the caller ID to show Sharyn’s name with a spoofing tool. The hack took 5 minutes total for me to steal the info.
RT @0xdf_: I got a really convincing phish today from @PayPal. And when I say "from Paypal", the from address is [email protected]. I knew right away that I didn't have a PayPal account for this email, so I was sure it was fake. It took me a minute to figure out what I was looki
🚨ATTENTION🚨 Apple found two 0-days actively in use that could effectively give attackers full access to device. For most folks: update software by end of day If threat model is elevated (journalist, activist, targeted by nation states, etc): update now https://t.co/BUEn08260X
RT @RachelTobac: Here’s how I used AI to clone a 60 Minutes correspondent’s voice to trick a colleague into handing over her passport number. I cloned Sharyn’s voice then manipulated the caller ID to show Sharyn’s name with a spoofing tool. The hack took 5 minutes total for me t
*New takedown tool* It’s easy to hack into accounts bc we can find most email/phone online, plug those into data breaches, then find passwords & login as you. 🔒Google launched a new tool for sensitive detail takedown requests🔒Here’s how to remove your contact info for free:
Key Insights & Takeaways
She uses AI to clone voices for social engineering attacks, demonstrating the evolving threats in cybersecurity. She highlights critical vulnerabilities like Apple's 0-day exploits, emphasizing the importance of software updates. She shares personal hacking experiences, such as hacking a billionaire with consent, to illustrate real-world applications of social engineering.
Strengths
- + Established follower base of 104,169
- + 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 @RachelTobac reveals an growing Twitter presence with 104,169 followers. The account demonstrates a conversation-first approach, averaging 70.0 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