Luciana Andrade
⚖️ J.D. 🇧🇷/ LL.M 🇺🇸 / 🎥 @ufc
76,980
Followers
387
Following
2,760
Tweets
196.3
Avg Engagement
189
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @LucianaAndrade'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: Mid-Tier (10K+)
- Account Age:2009-03-27
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:2,631
- Avg Likes per Tweet:27.0
- Avg Retweets per Tweet:169.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 2,631 tweetsHer tweets receive a steady number of likes and retweets, indicating a loyal and engaged follower base.
27.0
Avg Likes/Tweet
169.2
Avg Retweets/Tweet
71,124
Total Likes
445,275
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
1
Median Retweets
27
75th Percentile
113,076
Top Tweet
2.55
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
46.8%
Original
20.1%
Replies
22.9%
Retweets
10.2%
Quotes
0.0%
Threads
1.4%
With Media
62.9%
With Links
40.2%
With #Tags
64.2%
With @Mentions
27.3%
With Emojis
98
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.43
Reply/Original Ratio
0.44
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.5%
Weekday Posts
33.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,631 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 603 retweets (23% 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 2,631 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 10,000 followersHer audience likely includes students, academics, and followers of her university, with a focus on Brazil and the U.S.
Average
Audience Quality
24.7%
Suspicion Index
28.7%
Low-Quality %
71
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.9%
Empty Bio
18.0%
<10 Tweets
19.7%
Mass Following (>2K)
0.0%
New (<90 days)
50.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.3%
No URL
11.5%
<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.
6,724,485
Total Potential Reach
71
Median Follower Reach
197
75th Percentile Reach
4.2%
>1K followers
0.6%
>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).
65.1%
Creators
6,514 accounts
16.8%
Consumers
1,683 accounts
18.0%
Dormant
1,803 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):
93
Verified Followers
0.93% of total
1,605
Protected Accounts
16.05% of total
7 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 |
|---|---|---|---|
| @CalvinHelin | 582,152 | Author | empowerment, responsibility, self-reliance |
| @Moreno | 429,967 | Influencer | Business, Manager, Serious |
| @KevinOConnorNBA | 356,491 | - | - |
| @davidmweissman | 348,621 | - | - |
| @Stake | 234,032 | Betting | Betting, Sports, Entertainment |
| @kellyinvegas | 227,963 | Sports Bettor | Sports Betting, Podcasting, Contest Proxy Service |
| @thecasualultra | 202,036 | Football Fan | Football, Travel, Lifestyle |
| @WAVVES | 145,236 | Musician | Music, Surfing, Pulp |
| @fitnessgirls20 | 124,926 | Fitness influencer | fitness, girls, inspiration |
| @Beno_ldn | 114,395 | TV Host | TV, MH Campaigner, Football |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,406
Followers With Bio
4,594
Followers Without Bio
54.06%
% With Bio
45.94%
% 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 2,631 analyzed253,838
Combined Engagement
0
Total Likes
253,838
Total Retweets
50,768
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @ObamaWhiteHouse: Yes we can. Yes we did. Thank you for being a part of the past eight years. https://t.co/mjmr4RkxpV
RT @danawhite: Meet Keaton Jones a very smart little boy who is being bullied at school. This video is heartbreaking!! I want to bring Keaton to Vegas and hang out at UFC Headquarters. If anyone knows how i can reach the family please let me know. Thank u everyone https://t.co/BR
RT @McConaughey: because every red light eventually turns green https://t.co/x05GuITW4J
RT @LVMPD: If you would like to donate blood for the injured victims of the Strip shooting visit the Labor Health & Welfare Clinic, 7135 W. Sahara.
RT @CityOfLasVegas: How to help and find loved ones. Please share #PrayforLasVegas https://t.co/v0xaV3SAIm
Key Insights & Takeaways
She frequently shares personal and university-related updates, which resonate well with her audience. Her content often includes location tags and event mentions, suggesting a focus on community and events. She uses hashtags effectively to increase visibility and engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 76,980
- + 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 @LucianaAndrade reveals an well-established Twitter presence with 76,980 followers. The account demonstrates a content-creator strategy, averaging 196.3 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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