Opera GX
The browser for gamers.
1,066,186
Followers
178
Following
13,591
Tweets
2,424.3
Avg Engagement
456
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @operagxofficial'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:2021-04-21
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:2,365.5
- Avg Retweets per Tweet:58.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account consistently receives high engagement, with average likes and retweets indicating a loyal and active follower base. The use of links and calls to action helps drive interaction and traffic.
2,365.5
Avg Likes/Tweet
58.8
Avg Retweets/Tweet
7,687,832
Total Likes
191,203
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
380
Median Likes
2
Median Retweets
1,416
75th Percentile
187,706
Top Tweet
2.27
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
3.5%
Original
95.8%
Replies
0.0%
Retweets
0.7%
Quotes
0.0%
Threads
0.2%
With Media
28.6%
With Links
0.2%
With #Tags
94.7%
With @Mentions
4.6%
With Emojis
56
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
27.06
Reply/Original Ratio
0
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
80.9%
Weekday Posts
19.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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.
Posting Patterns & Optimal Timing
Based on 3,250 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 primary audience is gamers who are interested in browser features and updates. The content appeals to a younger, tech-savvy demographic that values both performance and customization.
Average
Audience Quality
23.5%
Suspicion Index
29.9%
Low-Quality %
13
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.2%
Empty Bio
31.8%
<10 Tweets
2.1%
Mass Following (>2K)
0.0%
New (<90 days)
54.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.4%
No URL
20.6%
<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.
26,297,537
Total Potential Reach
13
Median Follower Reach
40
75th Percentile Reach
2.1%
>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).
44.7%
Creators
22,335 accounts
23.5%
Consumers
11,746 accounts
31.8%
Dormant
15,919 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):
724
Verified Followers
0.72% of total
8,924
Protected Accounts
8.84% 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 |
|---|---|---|---|
| @discord | 4,574,198 | Communication | voice, video, text |
| @bysTaXx | 4,541,635 | YouTuber | Videos, Business, Internet |
| @Razer | 3,437,463 | Gaming Company | Gaming, Support, Action |
| @PicturesFoIder | 1,850,768 | Photographer | Photography, Non-aesthetic, Best page |
| @ShouldHaveCat | 1,809,232 | Pet Advocate | Cats, Pet advocacy, Parenting |
| @InternetH0F | 1,449,937 | Social Media Influencer | Internet culture, Memes, Social media |
| @hourly_shitpost | 1,383,269 | Meme Creator | Memes, Shitposting, Humor |
| @wildtiktokss | 929,940 | TikTok Influencer | TikTok, screenshots, submissions |
| @ShapedInternet | 877,452 | Tech Influencer | Technology, Innovation, Internet Culture |
| @albert12798 | 763,063 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
65,877
Followers With Bio
35,116
Followers Without Bio
65.23%
% With Bio
34.77%
% 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 3,250 analyzed673,190
Combined Engagement
641,062
Total Likes
32,128
Total Retweets
134,638
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
https://t.co/TiCAtUD6Hy https://t.co/956BQjGpP2
it's over https://t.co/1JUQ2i5yJX
We are proud to announce that the highly anticipated Opera GX Sex update is in active development https://t.co/847Zng6n5A
We are so back https://t.co/wBXkdiecZb https://t.co/PWbFoPv4pz
Is this… a ratio? https://t.co/Z4433S2kUY
Key Insights & Takeaways
The account emphasizes gaming-related updates and features, which aligns with its target audience's interests. Interactive content such as Easter-themed posts helps build a personal connection with followers. Promotion of new browser features through tweets highlights the brand's innovation and development efforts.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,066,186
- + 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 @operagxofficial reveals an exceptionally influential Twitter presence with 1,066,186 followers. The account demonstrates a conversation-first approach, averaging 2,424.3 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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