BRIGA
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175,008
Followers
56
Following
11,028
Tweets
445.6
Avg Engagement
67
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MattiaBriga'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:2011-10-26
- Verification:No
- Location:Roma, Lazio
Data Summary
- Tweets Analyzed:3,230
- Avg Likes per Tweet:165.7
- Avg Retweets per Tweet:279.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,230 tweetsHis tweets receive moderate to high engagement, with an average of 5,566 likes and 418 retweets per tweet.
165.7
Avg Likes/Tweet
279.9
Avg Retweets/Tweet
535,275
Total Likes
904,142
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
86
Median Likes
21
Median Retweets
300
75th Percentile
677,399
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
54.8%
Original
29.3%
Replies
14.8%
Retweets
1.1%
Quotes
0.0%
Threads
0.1%
With Media
49.1%
With Links
29.3%
With #Tags
60.0%
With @Mentions
48.9%
With Emojis
103
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.54
Reply/Original Ratio
0.07
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.8%
Weekday Posts
29.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,230 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 479 retweets (15% 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 3,230 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 followersHis audience appears to be interested in both entertainment and personal stories, with a mix of professional and casual engagement.
Below Average
Audience Quality
43.2%
Suspicion Index
63.4%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
65.8%
Empty Bio
73.9%
<10 Tweets
2.1%
Mass Following (>2K)
0.0%
New (<90 days)
85.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.1%
No URL
61.1%
<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.
8,581,805
Total Potential Reach
1
Median Follower Reach
5
75th Percentile Reach
1.1%
>1K followers
0.1%
>10K followers
0.0%
>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).
13.2%
Creators
6,584 accounts
13.0%
Consumers
6,483 accounts
73.9%
Dormant
36,933 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):
33
Verified Followers
0.03% of total
3,462
Protected Accounts
3.43% 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 |
|---|---|---|---|
| @MarroneEmma | 2,623,259 | Singer | DOMINATRICE, CUCINO, STIRO |
| @matteosalvinimi | 1,509,089 | Politician | Politics, Leadership, Italy |
| @Radio105 | 1,377,239 | Radio Host | Music, Entertainment, Diversity |
| @frafacchinetti | 1,235,364 | Entertainer | Music, Entertainment, Technology |
| @Negramaro | 1,171,423 | Musician | Music, Unplugged, Negramaro |
| @Simo_Ventura | 1,076,820 | TV Presenter | Movies, TV, Music |
| @RealEmisKilla | 988,656 | Rapper | Music, Rap, Italian |
| @GioPanariello | 792,806 | Comedian | Firenze, Versilia, Instagram |
| @RadioItalia | 731,879 | Radio Station | Music, Italian, Support |
| @Giorgia | 676,676 | Musicista | music, artist, performer |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
33,135
Followers With Bio
67,864
Followers Without Bio
32.81%
% With Bio
67.19%
% 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 3,230 analyzed758,321
Combined Engagement
10,383
Total Likes
747,938
Total Retweets
151,664
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
0%
With Links
Topical Analysis:
RT @RoyalFamily: The Queen died peacefully at Balmoral this afternoon. The King and The Queen Consort will remain at Balmoral this evening…
RT @DBUfodbold: Christian Eriksen er vågen og er til yderligere undersøgelser på Rigshospitalet. Kampen er midlertidigt udsat. Ny melding…
RT @amolrajan: Henderson’s dad had throat cancer and asked him not to see him while he was going through treatment. I’ve hugged a parent in…
RT @OfficialSSLazio: 🚬
Che Dolore.
Key Insights & Takeaways
He leverages personal milestones to boost engagement His content includes a mix of professional and personal elements He uses a documentary to connect with his audience
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 175,008
- + 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 @MattiaBriga reveals an well-established Twitter presence with 175,008 followers. The account demonstrates a content-creator strategy, averaging 445.6 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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