FUN88
The official FUN88 X account! Proud Asian Betting Partner of @NUFC & @SpursOfficial. Partner: @CPL & @OGesports 18+ https://t.co/M9sYlxo2d6
108,499
Followers
2,685
Following
22,465
Tweets
285.7
Avg Engagement
80
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @fun88eng'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:2011-07-18
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:147.8
- Avg Retweets per Tweet:137.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,249 tweetsThe account consistently achieves high engagement through interactive tweets and promotions. It leverages user participation with giveaways and incentives to boost interaction.
147.8
Avg Likes/Tweet
137.9
Avg Retweets/Tweet
480,201
Total Likes
447,958
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
34
Median Likes
1
Median Retweets
148
75th Percentile
11,125
Top Tweet
2.63
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
81.2%
Original
9.8%
Replies
4.2%
Retweets
4.9%
Quotes
0.0%
Threads
0.2%
With Media
83.4%
With Links
54.1%
With #Tags
20.8%
With @Mentions
59.9%
With Emojis
153
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.12
Reply/Original Ratio
1.18
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
64.1%
Weekday Posts
35.9%
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 3,249 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 135 retweets (4% 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 3,249 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 followersThe audience primarily consists of sports fans and bettors interested in football and esports. The account targets individuals who follow sports teams like Newcastle United and Tottenham Hotspur.
Average
Audience Quality
28.3%
Suspicion Index
35.5%
Low-Quality %
34
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.3%
Empty Bio
32.3%
<10 Tweets
12.8%
Mass Following (>2K)
0.0%
New (<90 days)
56.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.2%
No URL
19.8%
<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.
2,790,591
Total Potential Reach
34
Median Follower Reach
135
75th Percentile Reach
3.0%
>1K followers
0.3%
>10K followers
0.1%
>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).
41.2%
Creators
4,117 accounts
26.6%
Consumers
2,656 accounts
32.3%
Dormant
3,227 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):
39
Verified Followers
0.39% of total
719
Protected Accounts
7.19% of total
4 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 |
|---|---|---|---|
| @GabrielleLRob | 194,310 | Influencer | Fashion, Beauty, Lifestyle |
| @ABUSHAROOQ | 187,916 | Trainer/Coach | Strategic Planning, Body Language, Social Specialist |
| @TheMehulPatel | 186,840 | Entrepreneur | Solana, Breakpoint, Consciousness |
| @whatonnetflix | 84,111 | Entertainment News | TV shows, Movies, News |
| @nikitacaslida | 78,263 | Model | SuicideGirls, Bratty Goddess, Couples |
| @_iamlewis | 49,645 | Entrepreneur | Travel, Adventure, Photography |
| @nufc_ar | 48,910 | Football Club | Football, Newcastle, Arabic |
| @jamooralhelal | 45,015 | Fan Club | Football, Gulf, Arab |
| @Modricopata | 41,174 | - | - |
| @valetFASHION | 27,931 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,872
Followers With Bio
5,128
Followers Without Bio
48.72%
% With Bio
51.28%
% 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 3,249 analyzed49,659
Combined Engagement
15,734
Total Likes
33,925
Total Retweets
9,932
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
We’ve got a pair of tickets up for grabs for @NUFC vs Southampton in the second-leg of the Carabao Cup semi-final 🏆🎟️🎟️ ➡️ Follow @fun88eng 🔁 RT this post We’ll pick a winner at random and announce later this week! 🤝 #CarabaoCup | #NUFC ⚫️⚪️ https://t.co/DAeMxAlFTn
Jesse Lingard on the team coach home https://t.co/a3l35ADTje
We’ve got a pair of tickets up for grabs for a huge game at St James’ Park between @NUFC and Liverpool on Saturday 18th February 🎟️🎟️ ➡️ Follow @fun88eng 🔁 RT this post We’ll pick a winner at random and announce this weekend 💥 #NEWLIV | #NUFC | #LFC https://t.co/Wp2kuucASo
RT @fun88eng: We’ve got a pair of tickets up for grabs for @NUFC vs Southampton in the second-leg of the Carabao Cup semi-final 🏆🎟️🎟️ ➡️ Follow @fun88eng 🔁 RT this post We’ll pick a winner at random and announce later this week! 🤝 #CarabaoCup | #NUFC ⚫️⚪️ https://t.co/DAeMxA
Our last Twitter giveaway for a HUGE game at St James’ Park on Tuesday night with a place in the #CarabaoCup final at stake! 🤩 To be in with a chance of winning a pair of tickets: ➡️ Follow @fun88eng 🔁 RT this post Winner picked at random & announced on Monday! #NUFC ⚫️⚪
Key Insights & Takeaways
High engagement is driven by interactive promotions and giveaways. Partnerships with well-known sports teams and esports organizations enhance credibility and reach. User-generated content and random selections increase follower involvement and excitement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 108,499
- + Strong original content creation
- + 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 @fun88eng reveals an well-established Twitter presence with 108,499 followers. The account demonstrates a content-creator strategy, averaging 285.7 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