packo
f/a - $85k earnings - business inquiries: [email protected]
71,230
Followers
1,002
Following
3,952
Tweets
197.0
Avg Engagement
20
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @_packo'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:2019-10-04
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:194.2
- Avg Retweets per Tweet:2.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,247 tweetsPacko's tweets receive high engagement, with an average of 7,112 likes and 136 retweets per post, indicating a highly interactive audience.
194.2
Avg Likes/Tweet
2.8
Avg Retweets/Tweet
630,592
Total Likes
9,140
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
49
Median Likes
0
Median Retweets
156
75th Percentile
18,517
Top Tweet
2.77
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
16.0%
Original
78.8%
Replies
4.7%
Retweets
0.5%
Quotes
0.0%
Threads
0.0%
With Media
19.7%
With Links
2.7%
With #Tags
85.8%
With @Mentions
22.3%
With Emojis
47
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
4.92
Reply/Original Ratio
0.1
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.4%
Weekday Posts
31.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,247 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 153 retweets (5% 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 3,247 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 10,000 followersHis audience appears to be a mix of gamers and business professionals, drawn to his achievements and entrepreneurial ventures.
Average
Audience Quality
29.1%
Suspicion Index
35.4%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.6%
Empty Bio
43.9%
<10 Tweets
2.5%
Mass Following (>2K)
0.0%
New (<90 days)
64.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.6%
No URL
28.1%
<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.
3,669,560
Total Potential Reach
8
Median Follower Reach
49
75th Percentile Reach
3.0%
>1K followers
0.5%
>10K followers
0.1%
>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).
30.1%
Creators
3,014 accounts
26.0%
Consumers
2,600 accounts
43.9%
Dormant
4,386 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):
42
Verified Followers
0.42% of total
314
Protected Accounts
3.14% of total
1 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 |
|---|---|---|---|
| @pgodtv | 329,090 | Gamer | Gaming, Twitch, NFTs |
| @Ceice | 200,423 | Professional Gamer | Fortnite, XSET, Gaming |
| @FrayFN | 147,720 | Gamer | Fortnite, Gaming, Business |
| @MalibucaFN | 147,484 | Gamer | Gaming, Travel, Esports |
| @guildesports | 123,779 | Esports Team | Rocket League, FIFA, Valorant |
| @magl_s | 103,683 | Gamer | Fortnite, Gaming, Content Creation |
| @diguera | 103,102 | - | - |
| @mamabenjyfishy | 100,861 | Content Creator | Esports, Content Creation, Parenting |
| @looterzx | 83,376 | Gamer | Fortnite, TeamPWR, looter |
| @EdRoadToGlory | 75,113 | Professional Gamer | Fortnite, Competitive Gaming, Team Liquid |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,736
Followers With Bio
4,264
Followers Without Bio
57.36%
% With Bio
42.64%
% 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 3,247 analyzed52,144
Combined Engagement
51,053
Total Likes
1,091
Total Retweets
10,429
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
20%
With Links
Topical Analysis:
Joined @TeamHeretics
QUALED TO GRANDFINALS LETS GOOO 🇪🇸🇪🇸🇪🇸🇪🇸 https://t.co/3tXPe7r4cl
LETS FUCKING GOOOOOOOOOOOOOOOO
Left @TeamHeretics Thanks for everything 🧡
16 🥳👴
Key Insights & Takeaways
Packo is heavily involved in gaming communities and competitive events, which drives much of his content and engagement. His business inquiries suggest he is actively pursuing entrepreneurial opportunities and monetization strategies. He uses strong, emotional language to rally support and excitement, which resonates well with his audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 71,230
- + 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 @_packo reveals an well-established Twitter presence with 71,230 followers. The account demonstrates a conversation-first approach, averaging 197.0 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.
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