Adriana Lima
https://www.facebook.com/unsupportedbrowser
2,451,909
Followers
161
Following
2,384
Tweets
505.0
Avg Engagement
3,515
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @AdrianaLima'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:2010-11-12
- Verification:Yes
- Location:NYC, Miami, Bahia
Data Summary
- Tweets Analyzed:2,375
- Avg Likes per Tweet:252.8
- Avg Retweets per Tweet:252.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,375 tweetsHer tweets receive high engagement, with an average of 6,606 likes and 3,384 retweets per post.
252.8
Avg Likes/Tweet
252.2
Avg Retweets/Tweet
600,374
Total Likes
598,887
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
46
Median Likes
61
Median Retweets
343
75th Percentile
183,760
Top Tweet
0.21
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
63.5%
Original
27.2%
Replies
9.2%
Retweets
0.1%
Quotes
0.0%
Threads
3.4%
With Media
54.4%
With Links
19.2%
With #Tags
50.9%
With @Mentions
12.1%
With Emojis
78
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.43
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.1%
Weekday Posts
22.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,375 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 219 retweets (9% 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 2,375 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 primarily fans of her modeling career and celebrity lifestyle, with a global reach.
Below Average
Audience Quality
35.0%
Suspicion Index
44.9%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49.3%
Empty Bio
51.6%
<10 Tweets
8.6%
Mass Following (>2K)
0.0%
New (<90 days)
73.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.1%
No URL
40.5%
<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.
36,006,249
Total Potential Reach
6
Median Follower Reach
40
75th Percentile Reach
2.2%
>1K followers
0.3%
>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).
29.1%
Creators
14,545 accounts
19.3%
Consumers
9,631 accounts
51.6%
Dormant
25,824 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):
268
Verified Followers
0.27% of total
17,701
Protected Accounts
17.7% 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 | 14,106,225 | Wrestler | Wrestling, Motivation, Self-promotion |
| @ShaneWarne | 3,644,003 | Poker Player | Poker, TV commentary, 80's music |
| @jasonsegel | 1,934,574 | - | - |
| @DitaVonTeese | 1,692,153 | Performer | Glamour, Tour, Europe |
| @RepSwalwell | 1,500,811 | Politician | Politics, Family, California |
| @emrata | 1,492,294 | Model | Fashion, Modeling, Activism |
| @LunaAmofficial1 | 1,043,541 | Model | Fashion, Beauty, Lifestyle |
| @irisirisss520 | 935,143 | Influencer | photography, hosting, creator |
| @waiibearbie | 915,169 | Influencer | cats, food, cosmetics |
| @ZachBoychuk | 830,358 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
52,888
Followers With Bio
47,112
Followers Without Bio
52.89%
% With Bio
47.11%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 2,375 analyzed236,091
Combined Engagement
37,199
Total Likes
198,892
Total Retweets
47,218
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
RT @rihanna: Boys will be boys!!! Cause they can't be men.
THAT'S A WRAP THANK YOU EVERYONE 💖💖💖💖 https://t.co/tTmksuh0vL
#scarletwoman #vsfashionshow #parisiannights http://t.co/dxkbyhQDDM
✨✨ still dreaming about my magical week in Cannes ✨✨ https://t.co/6uA7ZlilVx
Hristos Se Rodi
Key Insights & Takeaways
She leverages her celebrity status to maintain a strong online presence. Her content often includes personal milestones and fashion events. She uses hashtags and links to drive traffic and interaction.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 2,451,909
- + 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 @AdrianaLima reveals an well-established Twitter presence with 2,451,909 followers. The account demonstrates a content-creator strategy, averaging 505.0 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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