Frank Khalid OBE
Husband - Father - Family Man - Businessman -Employer -Chelsea FC fan- Philanthropist -Proprietor of @Chak89Spice @WestLondonFS & @ElbrookGroup @FarSportsGroup
1,128,961
Followers
1,111
Following
56,337
Tweets
4,890.6
Avg Engagement
1,404
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @FrankKhalidUK'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: Mega Influencer (1M+)
- Account Age:2015-12-05
- Verification:No
- Location:London, UK
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:4,632.9
- Avg Retweets per Tweet:257.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,249 tweetsHis tweets receive a high level of engagement, with an average of 85,196 likes and 6,773 retweets per tweet. This indicates a highly interactive and interested audience.
4,632.9
Avg Likes/Tweet
257.7
Avg Retweets/Tweet
15,052,334
Total Likes
837,377
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2,126
Median Likes
96
Median Retweets
4,954
75th Percentile
138,501
Top Tweet
4.33
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
91.0%
Original
7.0%
Replies
1.6%
Retweets
0.4%
Quotes
0.0%
Threads
0.6%
With Media
83.9%
With Links
9.9%
With #Tags
18.2%
With @Mentions
27.8%
With Emojis
117
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.08
Reply/Original Ratio
0.25
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
68.4%
Weekday Posts
31.6%
Weekend Posts
Top Hashtags
Most Mentioned
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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 51 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 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 50,000 followersHis audience includes sports enthusiasts, particularly Chelsea FC fans, and individuals interested in business and philanthropy. The audience is likely diverse, spanning across different age groups and regions.
Average
Audience Quality
33.0%
Suspicion Index
45.0%
Low-Quality %
10
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
57.0%
Empty Bio
50.9%
<10 Tweets
4.3%
Mass Following (>2K)
0.0%
New (<90 days)
64.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.1%
No URL
32.9%
<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.
11,930,887
Total Potential Reach
10
Median Follower Reach
47
75th Percentile Reach
2.5%
>1K followers
0.2%
>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).
24.7%
Creators
12,369 accounts
24.3%
Consumers
12,158 accounts
50.9%
Dormant
25,473 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):
186
Verified Followers
0.19% of total
6,046
Protected Accounts
6.05% of total
2 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 |
|---|---|---|---|
| @didierdrogba | 2,772,296 | Footballer | Football, Philanthropy, Charity |
| @David_Ornstein | 1,883,953 | Football Correspondent | - |
| @TheEuropeanLad | 595,994 | Football Enthusiast | Ajax, European football, Messi |
| @DannyAaronsFUT | 541,108 | - | - |
| @M_455K | 455,731 | - | - |
| @PoojaMedia | 425,774 | Media Influencer | Brands, Endorsements, YouTuber |
| @2thank | 395,207 | Appreciation Coach | Appreciation, Gratitude, Recognition |
| @StokeyyG2 | 341,684 | - | - |
| @nocontextfm1 | 278,118 | Football Manager | Football, Manager, Business |
| @FootballTalkHQ | 271,637 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
43,481
Followers With Bio
56,519
Followers Without Bio
43.48%
% With Bio
56.52%
% 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 3,249 analyzed529,358
Combined Engagement
492,125
Total Likes
37,233
Total Retweets
105,872
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
40%
With Links
Topical Analysis:
❌Chelsea hadn't won the Premier League for 50 years Jose Mourinho won it with Chelsea🏆 ❌Inter Milan had not won the Champions League for 45 years Jose Mourinho won it with Inter 🏆 ❌ Real Madrid hadn't won the King's Cup in 22 years Jose Mourinho won it with Real Madrid 🏆… https:
Did you know that the legendary referee Pierluigi Collina:- ◾️ The only referee who had the VAR in his eyes. ◾️ This referee could communicate in 4 languages on the field (French, Spanish, Italian and English). ◾️ Before each game, he studied the game and the players of the… h
Ronaldinho: “I thought they were going to beat me up and do all terrible stuff they usually do in jail. But instead they called the guards to bring football so i can do some tricks and entertain them. Next morning we were taken out to play a 5 a side match, guards & some pris
Did you know Jose Mourinho wants FIFA to prevent African players from representing countries other than their country of origin. He thinks such a rule would help African countries win the World Cup. What’s your thoughts on this? https://t.co/NJP9Vy6T1w
The time when Mesut Ozil lost £22 million partnership with Adidas for speaking against China's act of Brutality on the people of Uighar. Lost his place from Germany's National team for appreciating Erdogan. Lost his place from Club as he initiated MUSLIM LIVES MATTER AS WELL and
Key Insights & Takeaways
His content often highlights sports history and notable figures, which resonates well with his audience. He frequently shares information about football clubs and their achievements, reinforcing his brand as a Chelsea FC fan. His engagement metrics suggest a strong and active community that values his insights and updates.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,128,961
- + 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 @FrankKhalidUK reveals an exceptionally influential Twitter presence with 1,128,961 followers. The account demonstrates a content-creator strategy, averaging 4,890.6 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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