Camila Oliveira UFC
UFC TV host & Octagon Girl/ Model. [email protected] • #CONEXÃOUFC
56,159
Followers
60
Following
7,334
Tweets
37.6
Avg Engagement
148
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @camisoliveira_'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:2013-01-18
- Verification:No
- Location:Brazil
Data Summary
- Tweets Analyzed:3,186
- Avg Likes per Tweet:20.9
- Avg Retweets per Tweet:16.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,186 tweetsHer tweets typically receive a high number of likes and retweets, indicating strong audience interaction and interest in UFC-related content.
20.9
Avg Likes/Tweet
16.6
Avg Retweets/Tweet
66,670
Total Likes
52,971
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
9
75th Percentile
15,350
Top Tweet
0.67
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
41.7%
Original
43.9%
Replies
7.9%
Retweets
6.5%
Quotes
0.0%
Threads
0.3%
With Media
38.2%
With Links
17.8%
With #Tags
66.4%
With @Mentions
53.6%
With Emojis
77
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.05
Reply/Original Ratio
0.82
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.4%
Weekday Posts
32.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,186 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 252 retweets (8% 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 3,186 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 primarily consists of UFC fans and sports enthusiasts interested in fight events and behind-the-scenes content.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
56
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.8%
No URL
100.0%
<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.
7,216,368
Total Potential Reach
56
Median Follower Reach
166
75th Percentile Reach
3.5%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
1,620
Protected Accounts
16.2% of total
6 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 |
|---|---|---|---|
| @bisping | 961,559 | MMA Fighter | MMA, Octagon, Tickets |
| @NOH8Campaign | 799,389 | Activism | equality, bullying, discrimination |
| @unkonfined | 665,887 | Influencer | - |
| @BoudoirBeauties | 538,357 | Photographer | photography, glamour, trends |
| @Moreno | 429,284 | Influencer | Business, Manager, Serious |
| @BillY_88_ | 269,600 | Influencer | fashion, beauty, cats |
| @Stake | 239,379 | Betting | Betting, Sports, Entertainment |
| @parejasw787878 | 151,085 | Swinger | Swinging, Mexico, Fun |
| @MacMallyMMA | 131,004 | MMA Fighter | UFC, KarateCombat, Podcasts |
| @degenlifer | 115,777 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,237
Followers With Bio
4,763
Followers Without Bio
52.37%
% With Bio
47.63%
% 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 3,186 analyzed35,624
Combined Engagement
2,272
Total Likes
33,352
Total Retweets
7,125
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @TheNotoriousMMA: Thanks for the support everyone! Was not my night/morning in there but a great contest to improve on. I’m excited at the blockbuster trilogy I now have on my hands. Dustin is a hell of a competitor and I look forward to going again. God bless us all, happy Su
RT @ufc: OFFICIAL. 🏆 🤬 The BMF steps in on six days notice for #UFC251 @VisitAbuDhabi #InAbuDhabi https://t.co/eNq5CZMTTM
RT @danawhite: #AndNew @JonnyBones https://t.co/5LA7P7wLYq
Hello London. #UFCLondon https://t.co/mVCUDDyaIs https://t.co/QhPcwnIGVa
RT @danawhite: Thanks for everything @dc_mma. I look forward to seeing what the future holds for you https://t.co/xGHtWQlS6P
Key Insights & Takeaways
She focuses on promoting UFC events and live coverage, which drives engagement and follower interaction. Her content often includes links to event pages and social media, encouraging further engagement. She uses hashtags effectively to increase visibility and reach a broader audience.
Strengths
- + Established follower base of 56,159
- + High community engagement through conversations
- + 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 @camisoliveira_ reveals an growing Twitter presence with 56,159 followers. The account demonstrates a conversation-first approach, averaging 37.6 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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