Alessia Russo
24 | Footballer. @arsenalwfc • @lionesses • @adidasfootball • @beatsbydreuk • @volante_sports_ Enquiries: [email protected]
132,823
Followers
866
Following
2,492
Tweets
3,236.7
Avg Engagement
268
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @alessiarusso7'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:2011-01-30
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:2,299
- Avg Likes per Tweet:73.4
- Avg Retweets per Tweet:3,163.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 2,299 tweetsAlessia's tweets receive a high number of likes and retweets on average, showing strong audience interaction. Her content is well-received and often shared across her network.
73.4
Avg Likes/Tweet
3,163.3
Avg Retweets/Tweet
168,761
Total Likes
7,272,414
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
1
Median Retweets
55
75th Percentile
450,617
Top Tweet
24.37
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
29.1%
Original
25.6%
Replies
37.5%
Retweets
7.8%
Quotes
0.0%
Threads
0.2%
With Media
53.1%
With Links
18.2%
With #Tags
74.6%
With @Mentions
49.3%
With Emojis
85
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.88
Reply/Original Ratio
0.21
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.2%
Weekday Posts
32.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,299 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 863 retweets (38% 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 2,299 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 is primarily interested in football, sports brands, and lifestyle content. The engagement metrics suggest a highly interactive and supportive fan base.
Average
Audience Quality
23.1%
Suspicion Index
31.4%
Low-Quality %
41
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.0%
Empty Bio
26.7%
<10 Tweets
9.5%
Mass Following (>2K)
0.0%
New (<90 days)
45.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.5%
No URL
18.7%
<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.
4,568,418
Total Potential Reach
41
Median Follower Reach
174
75th Percentile Reach
5.6%
>1K followers
0.5%
>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).
52.9%
Creators
5,291 accounts
20.4%
Consumers
2,038 accounts
26.7%
Dormant
2,671 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):
35
Verified Followers
0.35% of total
1,156
Protected Accounts
11.56% of total
5 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 |
|---|---|---|---|
| @PlayersTribune | 641,877 | Sports Media | Sports, Olympics, Athletes |
| @ManUtdUpdates_ | 203,809 | Sports News | Football, Manchester United, Updates |
| @socceraid | 178,631 | Charity Event | charity, football, event |
| @fratusll | 173,412 | - | - |
| @johnbradleywest | 144,153 | Actor | Party, Dancing, 1988 |
| @C345Sam | 101,762 | - | - |
| @TaraRushton | 63,784 | Sports Presenter | Football, Sport, Paramount+ |
| @jamiedema | 46,498 | - | - |
| @humble_guy0 | 37,717 | - | - |
| @theuniteddigest | 36,866 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,601
Followers With Bio
4,399
Followers Without Bio
56.01%
% With Bio
43.99%
% 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 2,299 analyzed1,746,403
Combined Engagement
0
Total Likes
1,746,403
Total Retweets
349,281
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @JoeBiden: It’s a new day in America.
RT @Think_Become: This Christmas advert has been banned from TV for being too political. I think what's happening to our rain forests should be banned for being criminal to life on earth. This needs to be the most viewed Christmas advert ever! Do your best Twitter! https://t.co
RT @iamlgndfrvr: I Tried Giving My Daughter The Worst Xmas Gift Ever & I Didn’t Expect This Reaction 😢 https://t.co/44cJytI83m
RT @satherax: I took my son to the fair and he had fun https://t.co/Kk3mGjL1Qq
RT @JColeNC: New album. KOD 4/20
Key Insights & Takeaways
She leverages her platform to promote her football career and brand partnerships. Her content often includes personal updates and motivational messages. She maintains a professional yet approachable tone in her tweets.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 132,823
- + 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 @alessiarusso7 reveals an exceptionally influential Twitter presence with 132,823 followers. The account demonstrates a content-creator strategy, averaging 3,236.7 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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