Belen Francese
Mamá de Vitto 😍 | • #NFTs & Crypto Investor 👩💻 • | Social Media Influencer 💎 | #Bitcoin #BNB #ETH • Actress •
971,404
Followers
27,002
Following
70,432
Tweets
107.6
Avg Engagement
1,556
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @belufrancese'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:2010-05-22
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:44.0
- Avg Retweets per Tweet:63.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,248 tweetsHer tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The use of strong language and controversial topics may contribute to higher engagement rates.
44.0
Avg Likes/Tweet
63.6
Avg Retweets/Tweet
142,907
Total Likes
206,711
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
1
75th Percentile
36,327
Top Tweet
0.11
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
7.4%
Original
86.8%
Replies
5.0%
Retweets
0.8%
Quotes
0.0%
Threads
0.1%
With Media
6.8%
With Links
8.3%
With #Tags
95.9%
With @Mentions
94.9%
With Emojis
91
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
11.79
Reply/Original Ratio
0.17
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
85.8%
Weekday Posts
14.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 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 163 retweets (5% 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 3,248 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 likely includes crypto enthusiasts, NFT collectors, and followers of her acting career. They are engaged with her content and often respond with likes and retweets.
Below Average
Audience Quality
38.3%
Suspicion Index
45.3%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.1%
Empty Bio
55.8%
<10 Tweets
19.2%
Mass Following (>2K)
0.0%
New (<90 days)
78.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.9%
No URL
52.4%
<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.
71,514,761
Total Potential Reach
2
Median Follower Reach
84
75th Percentile Reach
4.9%
>1K followers
1.2%
>10K followers
0.4%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
37.1%
Creators
18,565 accounts
7.0%
Consumers
3,519 accounts
55.8%
Dormant
27,916 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):
729
Verified Followers
0.72% of total
5,832
Protected Accounts
5.77% of total
3 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 |
|---|---|---|---|
| @WandaNaraCrypto | 1,750,486 | Influencer | Bitcoin, Eth, Altcoins |
| @riccardogems | 1,459,076 | Investor | Crypto, Investing, Marketing |
| @MarcosWitt | 1,388,793 | Pastor | Jesus, music, inspiration |
| @BullPromos | 1,387,435 | Entrepreneurship | Emprendimiento, Claridad, Valor |
| @SinghLions | 1,335,129 | Restaurateur | Food, Travel, Influencer |
| @TheToriant | 1,264,770 | - | - |
| @KateMillerGems | 1,259,124 | Crypto Influencer | Crypto, Gaming, Marketing |
| @cryptoprolegend | 1,243,205 | Crypto Trader | Crypto, GEMS, Trading |
| @BrianDEvans | 1,145,626 | Entrepreneur | NFTs, Crypto, Digital Marketing |
| @sofizamolo | 1,126,128 | Model | Fashion, Television, Blogging |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
61,049
Followers With Bio
39,949
Followers Without Bio
60.45%
% With Bio
39.55%
% 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 3,248 analyzed99,610
Combined Engagement
1,858
Total Likes
97,752
Total Retweets
19,922
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @elonmusk: If the Fed raises rates again next week, the recession will be greatly amplified
RT @Undeadscom: Undeads Metaverse partners with Warner Bros. & Wabi Sabi Sound - leading experts in sound design for gaming industry. This…
RT @CoingraphNews: ⚡️$1000 USDT #Giveaway (10 winners) ⚡️ How to participate: 1️⃣ Follow our crypto & financial news channel @CoingraphNe…
RT @1winPro: 💰$3.000 GIVEAWAY 💰 ✅Rules: 1. Follow @1winPro📲 2. Like💙and RT🔁 3. Tag 3 friends 👥 4. Register on @1winPro and leave your 1wi…
$TEM’s market cap is not verified by CMC yet, but if the data is verified, @TemDAO_info would be ranked in around the Top 40😱 https://t.co/misZXuDxhi
Key Insights & Takeaways
She frequently uses strong and provocative language in her tweets, which may attract attention and drive engagement. Her content often references cryptocurrency and NFTs, indicating a focus on the crypto market and investment trends. She occasionally shares information about new projects or market updates, suggesting she is active in the crypto space and may be involved in promoting or discussing new initiatives.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 971,404
- + 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 @belufrancese reveals an well-established Twitter presence with 971,404 followers. The account demonstrates a conversation-first approach, averaging 107.6 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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