@IamTanishaThomas
Mom 💙 TV Host, Author, Superwoman and sometimes Super human! Business Inquires- EmpireTeaminc@Gmail.Com
292,935
Followers
942
Following
69,509
Tweets
7.9
Avg Engagement
785
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Tanisha_DaDiva'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:2009-04-07
- Verification:No
- Location:Your TV Screen :D
Data Summary
- Tweets Analyzed:3,200
- Avg Likes per Tweet:4.8
- Avg Retweets per Tweet:3.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,200 tweetsHer tweets typically receive around 250 likes and 60 retweets, indicating a moderate level of interaction with her audience.
4.8
Avg Likes/Tweet
3.1
Avg Retweets/Tweet
15,232
Total Likes
10,007
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
0
Median Retweets
4
75th Percentile
6,147
Top Tweet
0.03
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
96.2%
Original
1.3%
Replies
0.2%
Retweets
2.2%
Quotes
0.0%
Threads
5.3%
With Media
95.3%
With Links
21.7%
With #Tags
10.8%
With @Mentions
84.9%
With Emojis
101
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.01
Reply/Original Ratio
8.75
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
74.2%
Weekday Posts
25.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,200 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 8 retweets (0% 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 3,200 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 followers likely include fans of her TV work, readers of her books, and individuals interested in personal development and lifestyle topics.
Average
Audience Quality
24.8%
Suspicion Index
27.3%
Low-Quality %
25
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36.6%
Empty Bio
29.4%
<10 Tweets
9.6%
Mass Following (>2K)
0.0%
New (<90 days)
55.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.1%
No URL
18.1%
<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.
57,197,909
Total Potential Reach
25
Median Follower Reach
125
75th Percentile Reach
4.2%
>1K followers
0.4%
>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).
46.1%
Creators
23,028 accounts
24.6%
Consumers
12,278 accounts
29.4%
Dormant
14,694 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):
316
Verified Followers
0.32% of total
14,043
Protected Accounts
14.04% 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 |
|---|---|---|---|
| @NICKIMINAJ | 27,873,296 | Rapper | Music, Fashion, Love |
| @JohnCena | 14,102,327 | Wrestler | Wrestling, Motivation, Self-promotion |
| @FrencHMonTanA | 3,060,884 | Rapper | music, rap, fashion |
| @BET | 2,772,887 | Entertainment | TV shows, entertainment, music |
| @VINNYGUADAGNINO | 2,736,086 | Reality TV Star | Cooking, Fitness, Reality TV |
| @NileFM | 2,526,521 | Radio Station | Music, Artists, Entertainment |
| @TRINArockstarr | 2,470,118 | Rapper | - |
| @Ginger_Zee | 2,268,299 | Meteorologist | Weather, Climate, Author |
| @6BillionPeople | 2,035,333 | - | - |
| @zlj517 | 1,990,675 | Spokesman | Geopolitics, Diplomacy, Communication |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
60,472
Followers With Bio
39,528
Followers Without Bio
60.47%
% With Bio
39.53%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,200 analyzed9,629
Combined Engagement
1,418
Total Likes
8,211
Total Retweets
1,926
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
40%
With Links
Topical Analysis:
RT @IyanlaVanzant: Beloved Will Smith has set a whole new standard for what it means to "protect" and honor your wife - - - Be Mindful! And…
RT @t0nit0ne: I’m big on intent. What’s your reason for doing it? For saying it? For sharing it? What are you hoping to achieve? Determinin…
They mad that's why 😂😩🤷🏾♀️ https://t.co/ABVWJaG3Xg
I am apart of the generation that watched a full set go from $20 to $90 .....😣🤦🏽♀️
RT @UberFacts: Ketanji Brown Jackson has been confirmed as the 116th Associate Justice of the United States Supreme Court https://t.co/uKI4…
Key Insights & Takeaways
Her top tweets often include humor and relatable situations, which resonate well with her audience. She frequently addresses topics related to personal growth and societal changes, showing her interest in broader issues. Her content also highlights her role as a mother and advocate for child safety, indicating a personal and caring side.
Strengths
- + Established follower base of 292,935
- + 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 @Tanisha_DaDiva reveals an growing Twitter presence with 292,935 followers. The account demonstrates a content-creator strategy, averaging 7.9 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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