FUNNY FACE
follow on Instagram : @ therealfunnyface / FacebookfanPage : Funny Face / TikTok : @ therealfunnyfacegh
1,285,727
Followers
67,305
Following
78,890
Tweets
52.5
Avg Engagement
350
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @funnyfacegh'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:2011-09-02
- Verification:No
- Location:GH
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:43.9
- Avg Retweets per Tweet:8.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,248 tweetsTheir tweets typically receive high engagement, with an average of 3,632 likes and 304 retweets, indicating a loyal and active follower base.
43.9
Avg Likes/Tweet
8.6
Avg Retweets/Tweet
142,738
Total Likes
27,800
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
5
75th Percentile
7,496
Top Tweet
0.04
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
8.0%
Original
83.0%
Replies
6.8%
Retweets
2.2%
Quotes
0.0%
Threads
0.2%
With Media
13.7%
With Links
4.8%
With #Tags
92.0%
With @Mentions
95.8%
With Emojis
40
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
10.33
Reply/Original Ratio
0.32
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.1%
Weekday Posts
28.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 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 222 retweets (7% 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 3,248 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 audience is primarily interested in Ghanaian culture, social issues, and entertainment, with a focus on local engagement and support.
Below Average
Audience Quality
35.9%
Suspicion Index
46.1%
Low-Quality %
9
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.4%
Empty Bio
63.1%
<10 Tweets
3.5%
Mass Following (>2K)
0.0%
New (<90 days)
69.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.8%
No URL
41.9%
<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.
11,328,539
Total Potential Reach
9
Median Follower Reach
35
75th Percentile Reach
1.3%
>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).
11.7%
Creators
5,831 accounts
25.2%
Consumers
12,607 accounts
63.1%
Dormant
31,562 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):
48
Verified Followers
0.05% of total
5,150
Protected Accounts
5.15% 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 |
|---|---|---|---|
| @SinghLions | 1,335,183 | Restaurateur | Food, Travel, Influencer |
| @UlrichJvV | 1,148,886 | Activist | Digital media, Global development, Gardening and sustainability |
| @LeBronJames | 1,003,867 | - | - |
| @kwadwosheldon | 884,758 | Content Creator | Disruptor, Content Creator, CEO |
| @SleepSkee | 711,461 | Musician | Music, Independent, Artist |
| @solalexasch | 678,381 | Musician | Music, Travel, Tattoos |
| @garettnelson | 650,823 | Entrepreneur | Travel, Investing, Adventure |
| @noelitoflow | 472,979 | Inspirational Speaker | God, Jesus, Purpose |
| @Ranal55 | 394,895 | Writer | writing, composing, quotes |
| @S_OkudzetoAblak | 270,400 | Politician | Pan-Africanism, Ghanaian pride, Foreign Affairs |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
55,872
Followers With Bio
44,128
Followers Without Bio
55.87%
% With Bio
44.13%
% 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 3,248 analyzed25,814
Combined Engagement
24,625
Total Likes
1,189
Total Retweets
5,163
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
🔥🙏🏾 “ GYE NYAME “ 🔥🙏🏾 .. Thank you GHANA POLICE for the support and Encouragement… long live GHANA 🇬🇭 https://t.co/4g4WaezCfA
#NewProfilePic https://t.co/HyNJVjgGDX
🙏🏾🔥 “ GYE NYAME “ 🙏🏾🔥 https://t.co/cUwrei8kSK
#NewProfilePic https://t.co/ywhZUf9GcN
🙏🏾🔥 “ GYE NYAME “ 🙏🏾🔥 https://t.co/XNG5JMMPhY
Key Insights & Takeaways
Their top tweets often include gratitude and support for local institutions like the Ghana Police, highlighting community values and national pride. They frequently share personal updates and profile changes, indicating a focus on maintaining an active and relatable online presence. Their use of hashtags and links suggests an effort to drive traffic and encourage interaction with their content.
Strengths
- + Established follower base of 1,285,727
- + 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 @funnyfacegh reveals an growing Twitter presence with 1,285,727 followers. The account demonstrates a conversation-first approach, averaging 52.5 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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