𝐋𝐈𝐒𝐀 𝐃𝐀𝐍𝐈𝐄𝐋𝐒/ 𝐎𝐍𝐋𝐘𝐅𝐀𝐍𝐒
🇨🇴🇺🇸Playboy Cover Girl🐰 Hall of Famer 🍆🏆 Lakers Fan🏀 Your Favourite Latina 💦💃🏼 🔞 backup: @lisadanielsss
911,293
Followers
998
Following
37,065
Tweets
63.6
Avg Engagement
884
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @lisadaniels3'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:2011-05-08
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:3,225
- Avg Likes per Tweet:58.2
- Avg Retweets per Tweet:5.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,225 tweetsHer tweets receive high average likes and retweets, indicating a highly engaged and active follower base.
58.2
Avg Likes/Tweet
5.4
Avg Retweets/Tweet
187,763
Total Likes
17,360
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
11
Median Likes
1
Median Retweets
26
75th Percentile
38,986
Top Tweet
0.07
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
89.3%
Original
4.7%
Replies
3.2%
Retweets
2.8%
Quotes
0.0%
Threads
1.1%
With Media
94.4%
With Links
6.0%
With #Tags
14.4%
With @Mentions
38.2%
With Emojis
110
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.05
Reply/Original Ratio
0.88
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.1%
Weekday Posts
26.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,225 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 103 retweets (3% 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 3,225 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 primarily male, interested in explicit and flirtatious content.
Below Average
Audience Quality
43.1%
Suspicion Index
55.8%
Low-Quality %
20
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
64.5%
Empty Bio
60.2%
<10 Tweets
17.7%
Mass Following (>2K)
0.0%
New (<90 days)
83.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.8%
No URL
47.1%
<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.
16,559,438
Total Potential Reach
20
Median Follower Reach
56
75th Percentile Reach
1.0%
>1K followers
0.2%
>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).
20.6%
Creators
10,299 accounts
19.2%
Consumers
9,619 accounts
60.2%
Dormant
30,082 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):
116
Verified Followers
0.11% of total
17,170
Protected Accounts
17.0% 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 | 1,335,124 | Restaurateur | Food, Travel, Influencer |
| @MilesSTEREOS | 861,768 | Musician | Guitarist, Writer, Producer |
| @iownjd | 778,956 | Lawyer | learn, inspire, engage |
| @therealJuliaAnn | 731,770 | Adult Film Star | Adult, California, Hall of Fame |
| @Polish_Loca | 640,765 | Flight Attendant | Onlyfans, Flight Attendant, Poland |
| @soysheilaortega | 526,360 | Flight Attendant | Entretenimiento, +18, Venezuela |
| @BreadBoi | 515,363 | Music Producer | Music, Bully, Rap |
| @vanessarivera_1 | 500,264 | - | - |
| @Uldouz | 461,480 | Influencer | Women's rights, Charity, Social media |
| @a_bswn | 453,178 | Photographer | Photography, Food, Twitter |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
39,400
Followers With Bio
61,599
Followers Without Bio
39.01%
% With Bio
60.99%
% 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 3,225 analyzed54,777
Combined Engagement
52,243
Total Likes
2,534
Total Retweets
10,955
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
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Key Insights & Takeaways
Her content is heavily focused on explicit and suggestive material, which drives high engagement. She frequently uses provocative language and emojis to attract attention and maintain follower interest. Her use of multiple links in tweets suggests a strategy to drive traffic or promote specific content.
Strengths
- + Established follower base of 911,293
- + 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 @lisadaniels3 reveals an growing Twitter presence with 911,293 followers. The account demonstrates a content-creator strategy, averaging 63.6 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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