Tabitha Stevens
THAT Tabitha Stevens ~ @sternshow #dr90210 TV, Film, actress & producer married 💍 to @gary_orona SORRY, I AM NOT CHECKING DM's 😘
217,792
Followers
788
Following
126,746
Tweets
111.7
Avg Engagement
887
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Misstabstevens'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:2009-04-09
- Verification:No
- Location:Las Vegas, NV
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:107.3
- Avg Retweets per Tweet:4.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,247 tweetsHer tweets receive a high number of likes and retweets, showing strong audience interaction. The engagement is likely driven by her personal brand and promotional content.
107.3
Avg Likes/Tweet
4.4
Avg Retweets/Tweet
348,444
Total Likes
14,232
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
5
75th Percentile
13,498
Top Tweet
0.51
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
11.4%
Original
79.8%
Replies
3.7%
Retweets
5.1%
Quotes
0.0%
Threads
1.8%
With Media
16.9%
With Links
7.1%
With #Tags
88.5%
With @Mentions
77.7%
With Emojis
64
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
7.0
Reply/Original Ratio
1.38
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
75.1%
Weekday Posts
24.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,247 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 120 retweets (4% 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 3,247 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 followersHer audience appears to be interested in entertainment, lifestyle, and personal content. There is a notable focus on fan engagement and promotional material.
Below Average
Audience Quality
39.5%
Suspicion Index
48.5%
Low-Quality %
50
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
65.4%
Empty Bio
43.5%
<10 Tweets
28.6%
Mass Following (>2K)
0.0%
New (<90 days)
70.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.7%
No URL
31.6%
<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.
28,876,472
Total Potential Reach
50
Median Follower Reach
121
75th Percentile Reach
2.3%
>1K followers
0.4%
>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).
34.4%
Creators
17,188 accounts
22.1%
Consumers
11,070 accounts
43.5%
Dormant
21,742 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):
272
Verified Followers
0.27% of total
18,401
Protected Accounts
18.22% 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 |
|---|---|---|---|
| @JohnCena | 14,100,060 | Wrestler | Wrestling, Motivation, Self-promotion |
| @SinghLions | 1,334,060 | Restaurateur | Food, Travel, Influencer |
| @NOH8Campaign | 801,091 | Activism | equality, bullying, discrimination |
| @iownjd | 777,380 | Lawyer | learn, inspire, engage |
| @TanyaTate | 754,476 | Entertainer | Modeling, Acting, Directing |
| @Angie_Khouryoff | 557,348 | - | - |
| @OccupyDemocrats | 540,022 | Political Activist | Progressive, Grassroots, Politics |
| @hungryforcum1 | 509,362 | - | - |
| @johnnywalkeryyc | 499,244 | Adult entertainer | Sexy, Women, Member of #ThePussyPosse |
| @alexstein99 | 486,586 | Podcaster | Cats, Conspiracy Theories, Texas Politics |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
37,788
Followers With Bio
63,204
Followers Without Bio
37.42%
% With Bio
62.58%
% 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 3,247 analyzed48,495
Combined Engagement
47,162
Total Likes
1,333
Total Retweets
9,699
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
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In preparation for #NewYear ‘s Eve 💫💫💫 Tonight @Gary_Orona and I shall spend our #NYE at home being cozy with fabulous food ~ and edibles of course 😉 Enjoy your day and I’ll tweet y’all later this evening ✨✨✨ Much💜. https://t.co/30MzqDC931 for my Fan Site links 🥰 https://t.co/v2
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Key Insights & Takeaways
Her content is heavily focused on personal branding and fan interaction. She frequently uses hashtags and links to promote her personal and professional ventures. There is a clear emphasis on building a loyal fan base through consistent engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 217,792
- + 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 @Misstabstevens reveals an well-established Twitter presence with 217,792 followers. The account demonstrates a conversation-first approach, averaging 111.7 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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