Alex Dolmatov
281,939
Followers
232
Following
16,244
Tweets
72.2
Avg Engagement
2,492
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TheRealGuf'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:2010-07-20
- Verification:No
- Location:Moscow, Russia, Worldwide
Data Summary
- Tweets Analyzed:3,118
- Avg Likes per Tweet:15.4
- Avg Retweets per Tweet:56.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,118 tweetsThe user consistently receives a high number of likes and retweets, indicating a highly engaged audience.
15.4
Avg Likes/Tweet
56.8
Avg Retweets/Tweet
48,127
Total Likes
177,147
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
7
Median Retweets
40
75th Percentile
32,350
Top Tweet
0.26
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
37.9%
Original
52.0%
Replies
10.1%
Retweets
0.1%
Quotes
0.0%
Threads
0.0%
With Media
28.4%
With Links
16.8%
With #Tags
65.0%
With @Mentions
8.2%
With Emojis
62
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.37
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.7%
Weekday Posts
27.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,118 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 314 retweets (10% 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 3,118 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 50,000 followersTheir followers likely appreciate raw, emotional content and thought-provoking messages.
Average
Audience Quality
34.4%
Suspicion Index
57.3%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
71.7%
Empty Bio
58.9%
<10 Tweets
0.5%
Mass Following (>2K)
0.0%
New (<90 days)
56.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.3%
No URL
43.0%
<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.
11,539,372
Total Potential Reach
2
Median Follower Reach
9
75th Percentile Reach
0.4%
>1K followers
0.1%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
18.4%
Creators
9,205 accounts
22.6%
Consumers
11,322 accounts
58.9%
Dormant
29,473 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):
6
Verified Followers
0.01% of total
6,255
Protected Accounts
6.25% of total
9 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 |
|---|---|---|---|
| @Variety | 2,911,617 | Entertainment industry | Entertainment, Business, Variety |
| @BeatsByAssassin | 2,263,816 | Multitalented | Actor, Director, Rapper |
| @RealTouchingPic | 2,174,181 | Photographer | Photography, Storytelling, Animals |
| @GirlsNoteBook | 1,437,291 | Influencer | Self-improvement, Positive vibes, INFJ |
| @soledadobrien | 1,318,188 | Journalist | working, mom, journalist |
| @ericschiffer | 687,990 | CEO | business, media, author |
| @MiniTattoos | 393,994 | - | - |
| @today_okay | 381,214 | Calendar Expert | Holidays, Events, News |
| @zmey__kasta | 360,294 | Rapper | Rap, Artist, Group |
| @mtvru | 336,799 | Entertainment | Music, Entertainment, Russia |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
25,194
Followers With Bio
74,806
Followers Without Bio
25.19%
% With Bio
74.81%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,118 analyzed49,734
Combined Engagement
6
Total Likes
49,728
Total Retweets
9,947
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @neverknownfacts: Retweet if you agree with this http://t.co/UmSoF0aUXh
RT @Fact: Retweet if you find the Baby in this picture... http://t.co/B5ArRJzyXE
Don't even mess wit dat shit! Stay out)
RT @stillblazingtho: RT if you agree http://t.co/5lw9Et5Xrn
RT @stillblazingtho: RT when you see it http://t.co/6UXI25Fcmx
Key Insights & Takeaways
The user's content often blends personal emotion with deeper philosophical reflections. Their tweets suggest a focus on relationships and emotional vulnerability. They may be using their platform to explore themes of love, loss, and self-discovery.
Strengths
- + Established follower base of 281,939
- + 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 @TheRealGuf reveals an growing Twitter presence with 281,939 followers. The account demonstrates a conversation-first approach, averaging 72.2 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.
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