Lisa Ann
Living life to the fullest-1 chapter at a time. 2x Author #TheLIFE #TheLifeBack Podcast 🎙️ #TheLisaAnnExperience @TicketRev -wine- @lisabylisaann 🍷
2.052.492
Followers
7.873
Following
142.606
Tweets
414,9
Avg Engagement
4.310
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @thereallisaann'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:2009-07-12
- Verification:No
- Location:everywhere
Data Summary
- Tweets Analyzed:3.244
- Avg Likes per Tweet:396,1
- Avg Retweets per Tweet:18,8
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.244 tweetsHer tweets receive a high number of likes and retweets on average, indicating strong audience interaction. The engagement is consistent across her posts, suggesting a loyal and active following.
396,1
Avg Likes/Tweet
18,8
Avg Retweets/Tweet
1.284.871
Total Likes
60.982
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
94
Median Likes
6
Median Retweets
197
75th Percentile
33.855
Top Tweet
0,2
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
60,3%
Original
28,0%
Replies
5,9%
Retweets
5,8%
Quotes
0,0%
Threads
2,9%
With Media
68,3%
With Links
41,8%
With #Tags
74,0%
With @Mentions
27,5%
With Emojis
135
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0,46
Reply/Original Ratio
0,98
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
78,9%
Weekday Posts
21,1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.244 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 191 retweets (6% 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 3.244 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 is likely interested in self-improvement, wellness, and lifestyle content. They engage with her through likes and retweets, showing interest in her personal and professional life.
Average
Audience Quality
34,9%
Suspicion Index
59,1%
Low-Quality %
20
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
70,3%
Empty Bio
59,6%
<10 Tweets
6,1%
Mass Following (>2K)
0,0%
New (<90 days)
51,5%
Low Ratio (<0.1)
0,0%
New (<180 days)
96,3%
No URL
47,9%
<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.
13.974.735
Total Potential Reach
20
Median Follower Reach
48
75th Percentile Reach
1,5%
>1K followers
0,3%
>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).
21,9%
Creators
10.959 accounts
18,5%
Consumers
9.229 accounts
59,6%
Dormant
29.812 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):
329
Verified Followers
0.33% of total
13.639
Protected Accounts
13.5% of total
2 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 |
|---|---|---|---|
| @stylebender | 1.636.431 | MMA Fighter | MMA, Fashion, Humor |
| @MatthewBerryTMR | 1.159.281 | Fantasy Analyst | Fantasy Football, Author, Avengers |
| @kazumisworld | 902.192 | Adult entertainer | railed, fansly, squirt |
| @FashionweekNYC | 574.039 | Fashion Blogger | Fashion, Culture, Runways |
| @ReneesRealm | 545.120 | Influencer | Anime, Waifu, Personal |
| @Angie_Khouryoff | 527.461 | - | - |
| @soysheilaortega | 526.197 | Flight Attendant | Entretenimiento, +18, Venezuela |
| @waifunohana | 355.790 | - | - |
| @AshleyPurdy | 344.094 | Musician | Music, Bitcoin, Doge |
| @EvanKirstel | 343.663 | Tech Influencer | Tech, B2B, Social media |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
30.080
Followers With Bio
70.919
Followers Without Bio
29.78%
% With Bio
70.22%
% 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 3.244 analyzed94.627
Combined Engagement
92.268
Total Likes
2.359
Total Retweets
18.925
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Oh, hey there. #Selfie https://t.co/hNEbWrtO1p
I don’t travel to escape life but for life not to escape me. #Venice #Italy https://t.co/soTgRVzLkP
Health is a state of body. Wellness is a state of being. https://t.co/cy6LhBkpo4
Sometimes I Selfie! #selfie https://t.co/ibvUzXOzKv
Self(ie)-love is the best love #Selfie https://t.co/w5c462lTRV
Key Insights & Takeaways
She uses hashtags effectively to increase visibility and reach a broader audience. Her content often includes personal reflections and motivational messages that resonate with her followers. She leverages her platform to promote her podcast and other ventures, enhancing her brand presence.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 2.052.492
- + 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 @thereallisaann reveals an well-established Twitter presence with 2.052.492 followers. The account demonstrates a content-creator strategy, averaging 414,9 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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