Rachel Wolfson
Reporter @cointelegraph | Host | Author | Speaker | Founder of Web3 Deep Dive podcast✍️[email protected]➡️ https://www.youtube.com/@Web3DeepDive…
30,739
Followers
8,490
Following
11,372
Tweets
10.1
Avg Engagement
587
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Rachelwolf00'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:2013-08-21
- Verification:No
- Location:Austin/San Francisco
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:9.3
- Avg Retweets per Tweet:0.8
- Followers Analyzed:29,811
Engagement Analysis
Based on 500 tweetsHer tweets typically receive moderate engagement, with an average of 106 likes and 12 retweets. She frequently interacts with industry figures and promotes her podcast and contact information.
9.3
Avg Likes/Tweet
0.8
Avg Retweets/Tweet
4,633
Total Likes
395
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
11
75th Percentile
239
Top Tweet
0.33
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
32.0%
Original
64.0%
Replies
2.0%
Retweets
2.0%
Quotes
0.0%
Threads
0.4%
With Media
22.8%
With Links
20.2%
With #Tags
81.2%
With @Mentions
45.6%
With Emojis
76
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.0
Reply/Original Ratio
1.0
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
76.8%
Weekday Posts
23.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 500 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 10 retweets (2% 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 500 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 29,811 followersHer audience primarily consists of Web3 enthusiasts, blockchain professionals, and investors interested in emerging technologies. She also engages with podcast listeners and industry participants.
Good
Audience Quality
16.9%
Suspicion Index
10.9%
Low-Quality %
326
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
17.3%
Empty Bio
7.6%
<10 Tweets
33.4%
Mass Following (>2K)
0.0%
New (<90 days)
24.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
62.9%
No URL
4.5%
<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.
198,961,603
Total Potential Reach
326
Median Follower Reach
1,139
75th Percentile Reach
27.2%
>1K followers
5.9%
>10K followers
1.7%
>50K followers
0.9%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
80.0%
Creators
23,854 accounts
12.4%
Consumers
3,699 accounts
7.6%
Dormant
2,258 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):
2,418
Verified Followers
8.11% of total
1,472
Protected Accounts
4.94% of total
7 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 | 14,105,748 | Wrestler | Wrestling, Motivation, Self-promotion |
| @binance | 10,373,066 | Cryptocurrency Exchange | Cryptocurrency, Blockchain, Digital Assets |
| @cz_binance | 8,364,154 | Cryptocurrency Trader | Crypto, Binance, Bitcoin |
| @justinsuntron | 3,450,599 | Entrepreneur | Cryptocurrency, Blockchain, Technology |
| @Ripple | 2,629,813 | Finance | finance, technology, global payments |
| @solana | 2,222,491 | Blockchain Developer | Crypto, Apps, Blockchain |
| @sarahcpr | 2,116,862 | Comedian | comedy, author, speaker |
| @6BillionPeople | 2,038,036 | - | - |
| @Cointelegraph | 1,888,425 | Crypto News | Bitcoin, Ethereum, blockchain |
| @SiriouslySusan | 1,778,355 | Voice Actor | Voice acting, singing, speaking |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
24,653
Followers With Bio
5,158
Followers Without Bio
82.7%
% With Bio
17.3%
% 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 500 analyzed779
Combined Engagement
704
Total Likes
75
Total Retweets
156
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
So nice meeting with Jessica Tsai Chin, Algorand’s new CMO! 🚀 excited to see how she will help shape #web3 moving forward! @Algorand @AlgoFoundation https://t.co/NvWw8LaEbZ
Excited to see how @Algorand @AlgoFoundation is working hard to create diversity, inclusion and greater education for #Web3 https://t.co/cKz64OrNJF via @Cointelegraph #Algorand
Fun night out with @TiffanyFong_ in SF 🥂 https://t.co/uLKgjwSLHJ
Who wants to help me build a website? 👀👀💁♀️
Excited to announce that Web3 Deep Dive, my new podcast, is teaming up with @WRSTcollabs the Austin based Web3 innovation studio 🎙️🎧 we’ve got a ton of interviews planned. Looking forward to hosting guests here during @consensus2023 🙌 and beyond! https://t.co/NHZcsot77F
Key Insights & Takeaways
She emphasizes collaboration with industry leaders like Jessica Tsai Chin and Algorand's CMO. She highlights the importance of diversity, inclusion, and education in the Web3 space. She maintains a personal and engaging tone, often sharing personal experiences and events.
Strengths
- + Established follower base of 30,739
- + 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 @Rachelwolf00 reveals an growing Twitter presence with 30,739 followers. The account demonstrates a conversation-first approach, averaging 10.1 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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