Jonna Mae
Hi!👋🏼丨Video Games and Cats | Seen on Jimmy Kimmel, Bill Nye STW, DisneyXP | Duo @di3sel_丨[email protected]
165,020
Followers
778
Following
98,219
Tweets
511.1
Avg Engagement
296
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Mae'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:2011-09-23
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,242
- Avg Likes per Tweet:43.3
- Avg Retweets per Tweet:467.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,242 tweetsHer tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The use of emojis and links to videos suggests a focus on visual and interactive content.
43.3
Avg Likes/Tweet
467.7
Avg Retweets/Tweet
140,386
Total Likes
1,516,443
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
0
Median Retweets
40
75th Percentile
78,577
Top Tweet
3.1
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
25.0%
Original
65.4%
Replies
6.8%
Retweets
2.7%
Quotes
0.0%
Threads
0.5%
With Media
31.3%
With Links
1.6%
With #Tags
72.6%
With @Mentions
18.8%
With Emojis
71
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.61
Reply/Original Ratio
0.39
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
71.5%
Weekday Posts
28.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,242 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 3,242 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 followersMae's audience is primarily young adults interested in gaming and pet content. They are likely to enjoy lighthearted, relatable, and entertaining material.
Average
Audience Quality
23.3%
Suspicion Index
23.5%
Low-Quality %
45
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.8%
Empty Bio
18.4%
<10 Tweets
15.3%
Mass Following (>2K)
0.0%
New (<90 days)
55.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
79.9%
No URL
11.2%
<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.
99,196,090
Total Potential Reach
45
Median Follower Reach
176
75th Percentile Reach
5.5%
>1K followers
1.1%
>10K followers
0.4%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
63.2%
Creators
31,621 accounts
18.4%
Consumers
9,199 accounts
18.4%
Dormant
9,180 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):
786
Verified Followers
0.78% of total
9,580
Protected Accounts
9.49% of total
8 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 |
|---|---|---|---|
| @JohnCena | 14,100,768 | Wrestler | Wrestling, Motivation, Self-promotion |
| @jimmykimmel | 11,645,038 | Comedian | Comedy, TV, Bowling |
| @IGN | 9,707,421 | Entertainment | video games, movies, TV |
| @Ninja | 6,674,838 | Gamer | video games, business |
| @McDonalds | 4,764,529 | Fast Food | Fast Food, Grimace, Friendship |
| @discord | 4,579,174 | Communication | voice, video, text |
| @CaptainSparklez | 4,309,059 | Content Creator | Gaming, Content Creation, Apparel |
| @Pornhub | 3,703,685 | Adult Entertainment | porn, videos, models |
| @Razer | 3,436,877 | Gaming Company | Gaming, Support, Action |
| @RondaRousey | 3,382,322 | Athlete | MMA, Wrestling, Acting |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
60,064
Followers With Bio
40,929
Followers Without Bio
59.47%
% With Bio
40.53%
% 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 3,242 analyzed335,368
Combined Engagement
0
Total Likes
335,368
Total Retweets
67,074
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @NASAInSight: My power’s really low, so this may be the last image I can send. Don’t worry about me though: my time here has been both p…
RT @Cyasashiku: reminder everyone: axolotls whoop and bark (very quietly) https://t.co/qn4DU7Yd07
RT @weirdlilguys: peak orange cat https://t.co/EwEG9KeaC0
RT @lairofclair: no fucking way https://t.co/RZJhzbo2I1
RT @How2Drink: I’m not usually a “repost from TikTok” guy but hot damn Jesus fuck https://t.co/cXRCl2uY1h
Key Insights & Takeaways
Mae's content is highly visual and relies on humor and relatability to engage her audience. She frequently shares personal moments and behind-the-scenes content, which helps build a connection with her followers. Her use of links to videos and external content suggests a strategy to drive traffic and maintain audience interest.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 165,020
- + 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 @Mae reveals an well-established Twitter presence with 165,020 followers. The account demonstrates a conversation-first approach, averaging 511.1 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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