George Smith
@newhopeclub
156,651
Followers
6,793
Following
14,013
Tweets
1,190.1
Avg Engagement
867
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @NewHopeGeorge'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:2014-01-22
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,245
- Avg Likes per Tweet:742.9
- Avg Retweets per Tweet:447.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,245 tweetsThe account shows consistent engagement with an average of over 5,000 likes per tweet, suggesting a loyal and active follower base. Retweets are also relatively high, indicating some level of community interaction.
742.9
Avg Likes/Tweet
447.2
Avg Retweets/Tweet
2,410,563
Total Likes
1,451,274
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
110
Median Likes
14
Median Retweets
1,582
75th Percentile
510,186
Top Tweet
7.6
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
29.9%
Original
56.6%
Replies
8.8%
Retweets
4.7%
Quotes
0.0%
Threads
0.0%
With Media
19.3%
With Links
7.7%
With #Tags
67.1%
With @Mentions
28.7%
With Emojis
56
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.89
Reply/Original Ratio
0.54
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.7%
Weekday Posts
28.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,245 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 284 retweets (9% 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 3,245 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 followersThe audience likely includes young adults and teenagers, given the tweet about being 20 and the casual tone. The account may attract followers interested in personal updates and casual interactions.
Average
Audience Quality
20.4%
Suspicion Index
23.6%
Low-Quality %
17
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
29.3%
Empty Bio
26.2%
<10 Tweets
5.1%
Mass Following (>2K)
0.0%
New (<90 days)
47.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.8%
No URL
17.8%
<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.
48,911,699
Total Potential Reach
17
Median Follower Reach
145
75th Percentile Reach
6.5%
>1K followers
0.3%
>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).
56.2%
Creators
28,104 accounts
17.6%
Consumers
8,790 accounts
26.2%
Dormant
13,106 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):
77
Verified Followers
0.08% of total
20,028
Protected Accounts
19.83% of total
5 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 | 14,100,965 | Wrestler | Wrestling, Motivation, Self-promotion |
| @SpursOfficial | 8,632,402 | Sports Team | Football, Soccer, #COYS |
| @greysonchance | 2,430,055 | Musician | Music, Trophies, Out Now |
| @jacobsartorius | 1,543,567 | Singer | music, singer, EP |
| @CapitalOfficial | 1,368,793 | Radio Host | Music, Radio, Entertainment |
| @tracklist | 1,275,865 | Entertainment | Entertainment, Music, Commercial |
| @MTVMusicUK | 1,272,446 | Entertainment | Music, Entertainment, UK |
| @scott_mills | 1,265,035 | Radio Host | Entertainment, Music, Radio |
| @kenzie | 1,126,914 | Musician | Music, Fashion, Lifestyle |
| @R3HAB | 1,027,552 | DJ | Music, DJ, Collaboration |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
69,143
Followers With Bio
31,852
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.
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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,245 analyzed949,921
Combined Engagement
0
Total Likes
949,921
Total Retweets
189,984
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @Levance_: Know the difference. https://t.co/einoHMXvHn
RT @GameOfThrones: The trailer is here. #GameofThrones https://t.co/L48jOwsUzn
RT @NewHopeClub: Our cover of Dynamite by @BTS_twt is out now. Click here to give it a watch, enjoy ❤️ https://t.co/b9IlpIgQn6 https://t.c…
RT @SpursOfficial: Bale. Is. Back. Welcome home, @GarethBale11 😍 #BaleIsBack ⚪️ #COYS https://t.co/iOIWC2ZwtC
RT @SpursOfficial: WE'RE CHAMPIONS LEAGUE FINALISTS! #UCL ⚪️ #COYS https://t.co/ntH31npkxg
Key Insights & Takeaways
The user frequently shares personal updates and casual content, which may drive engagement. The account has a casual and relatable tone, which helps in building a connection with followers. The user is likely focused on personal branding and maintaining an active online presence.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 156,651
- + 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 @NewHopeGeorge reveals an exceptionally influential Twitter presence with 156,651 followers. The account demonstrates a conversation-first approach, averaging 1,190.1 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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