Game Jolt
Twitter is cringe. We outta here.
56,558
Followers
881
Following
13,519
Tweets
63.0
Avg Engagement
536
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @gamejolt'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:2009-02-21
- Verification:No
- Location:Seattle, WA
Data Summary
- Tweets Analyzed:3,240
- Avg Likes per Tweet:28.0
- Avg Retweets per Tweet:35.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,240 tweetsThe account shows consistent engagement with its followers, indicating a loyal and active community. The high average likes and retweets suggest a strong connection with its audience.
28.0
Avg Likes/Tweet
35.0
Avg Retweets/Tweet
90,700
Total Likes
113,361
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
1
Median Retweets
17
75th Percentile
21,179
Top Tweet
1.11
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
40.2%
Original
36.8%
Replies
19.1%
Retweets
4.0%
Quotes
0.0%
Threads
0.2%
With Media
73.6%
With Links
40.2%
With #Tags
73.3%
With @Mentions
30.2%
With Emojis
153
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.92
Reply/Original Ratio
0.21
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
88.5%
Weekday Posts
11.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,240 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 620 retweets (19% 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 3,240 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 is primarily gaming enthusiasts, especially fans of Five Nights at Freddy's (FNaF). They are likely interested in art, community interaction, and exclusive content.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
29
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
68.5%
No URL
100.0%
<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.
6,458,998
Total Potential Reach
29
Median Follower Reach
118
75th Percentile Reach
4.6%
>1K followers
0.5%
>10K followers
0.2%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
661
Protected Accounts
6.61% of total
3 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 | 1,325,947 | Restaurateur | Food, Travel, Influencer |
| @pascalguyon | 352,899 | Music Producer | Music, Technology, Health |
| @SteelWoolStudio | 229,811 | Game Developer | gaming, independent studio, boundaries |
| @Makeship | 202,717 | Crowdfunding | Design, Creators, Limited edition |
| @FNAFMovieUpdate | 202,693 | Movie Updates | FNAF, Movie, Updates |
| @cametek | 189,372 | Composer | SDVX, IIDX, DDR |
| @Cat_Cosplay | 183,168 | Cosplay Designer | Cosplay, Cats, Costumes |
| @Razzbowski | 153,106 | YouTuber | Gaming, Cosplay, YouTube |
| @G4TV | 144,123 | Entertainment | Gaming, Entertainment, Tech |
| @Demilogic | 137,478 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
8,007
Followers With Bio
1,993
Followers Without Bio
80.07%
% With Bio
19.93%
% 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 3,240 analyzed81,317
Combined Engagement
9,469
Total Likes
71,848
Total Retweets
16,263
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @tobyfox: Happy 7th Anniversary to UNDERTALE! Here's a small status update on the progress of DELTARUNE. https://t.co/ies3L0yXKf
RT @sonic_hedgehog: Sonic Frontiers - arriving November 8, 2022! https://t.co/jjaMDOSTdy
RT @Schaffrillas: Happy March 14th, THE DAY THAT KRABS FRIES https://t.co/1gfYnJEFqC
RT @SNICKERS: FNAF lore makes more sense after eating a Snickers.
🚨 BIG NEWS! 🚨 On Friday, June 9th at 11 am PT, we'll be interviewing @MatthewLillard (That's right the #FNAFMovie's William Afton, himself!) Reply to this tweet with your questions! #FNAF fans won't wanna miss this! https://t.co/s8hg3fb1Tq
Key Insights & Takeaways
The account frequently collaborates with popular FNaF figures like Matthew Lillard, which boosts engagement. It leverages trending topics and community events to drive interaction. The use of humor and niche references helps build a unique brand identity.
Strengths
- + Established follower base of 56,558
- + 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 @gamejolt reveals an growing Twitter presence with 56,558 followers. The account demonstrates a content-creator strategy, averaging 63.0 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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