Надежда Гуськова/Nadezda Guskova

Надежда Гуськова/Nadezda Guskova

@Nadezda_guskova

Official twitter page of Nadezda Guskova,EX-PRO Tennis player🎾,Singer🎤; PR 📧 [email protected] Instagram:nadezda_guskova Премьера «Се Ля Ви»👇

Moscow https://band.link/se_lya_vi Joined 2010-06-08 Date of Analysis: Dec 16, 2025

53,841

Followers

31,183

Following

16,400

Tweets

9.0

Avg Engagement

223

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @Nadezda_guskova'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:2010-06-08
  • Verification:No
  • Location:Moscow

Data Summary

  • Tweets Analyzed:3,170
  • Avg Likes per Tweet:6.4
  • Avg Retweets per Tweet:2.6
  • Followers Analyzed:10,000

Engagement Analysis

Based on 3,170 tweets

Her tweets generally receive moderate engagement, with an average of 54 likes and 14 retweets. The highest engagement is seen in tweets related to public figures and personal milestones.

6.4

Avg Likes/Tweet

2.6

Avg Retweets/Tweet

20,255

Total Likes

8,135

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

3

Median Likes

0

Median Retweets

9

75th Percentile

1,502

Top Tweet

0.17

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Broadcaster

Primarily shares original content

88.2%

Original

8.9%

Replies

2.2%

Retweets

0.8%

Quotes

0.0%

Threads

0.4%

With Media

85.6%

With Links

49.2%

With #Tags

27.2%

With @Mentions

62.0%

With Emojis

101

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.1

Reply/Original Ratio

0.35

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

70.2%

Weekday Posts

29.8%

Weekend Posts

Top Hashtags

#надеждагуськова (716) #ng (268) #nowplaying (59) #новыйаватар (55) #доброеутро (41) #сочи (37) #утро (34) #гдетотам (34) #eleonoraamosova (32) #сднемрождения (30)

Most Mentioned

@promodj (94) @aeroflot (73) @youtube (44) @spirik15 (42) @sberbank (31) @nadezda_guskova (30) @kyevgeni (28) @mirnir (22) @eleonoraamosova (16) @vdiatchenko (16)

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Content Strategy Analysis

Based on 3,170 tweets

Content Type Distribution

Content Breakdown

Original Tweets 2,795 (88%)
Replies 282 (9%)
Retweets 69 (2%)
Quote Tweets 24 (1%)

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 69 retweets (2% 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 3,170 tweets

Engagement 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 followers

Her followers likely include fans of her tennis career, music fans, and individuals interested in her personal life. The audience appears to be primarily Russian, given the language and references to Russian politics.

Below Average

Audience Quality

37.5%

Suspicion Index

100.0%

Low-Quality %

67

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)

80.4%

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.

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

8,370,451

Total Potential Reach

67

Median Follower Reach

431

75th Percentile Reach

12.0%

>1K followers

1.0%

>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

0

Verified Followers

0.0% of total

0.0%

Professional Bios

founder, dev, analyst, etc.

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):

Москва, Россия (447) Россия (391) Украина (324) Беларусь (153) Санкт-Петербург, Россия (122) Москва (113) Kazakhstan (99) Russia (51) Новосибирск, Россия (31) Санкт-Петербург (30)

0

Verified Followers

0.0% of total

511

Protected Accounts

5.11% of total

8 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
@Iraqesque 576,319 Cultural commentator Culture, History, Traditions
@wefollowbackd 455,585 Football Blogger Football, News, Sport
@AlertTrade 233,572 Trading Trade Alerts, Trade Ideas, Crypto
@spotifyartists 174,250 Music Promotion music, legends, industry insiders
@gosduma2021 166,768 Politics politics, elections, Russia
@iLeonCruze 147,853 Unknown Islam, Gratitude, World
@BeefEnt 143,536 Music Label Music, Booking, Promotion
@LALPUSHP 93,562 Networking Friendship, Twitter, Increase
@RugbyRussia 84,740 Sports Official Rugby, Russia, Federation
@Damon_Hess 79,100 DJ Music, Love, Collaboration

Top Keywords in Follower Bios

followback (159) love (96) follow (83) rufollowback (74) life (46) music (46) instagram (40) youtube (34) followme (33) ruff (33)

Top Hashtags in Follower Bios

#взаимныи (162) #followback (149) #читаювзаимно (89) #rufollowback (73) #follow (45) #followme (33) #ru_ff (33) #фолловинг (31) #ff_ru (29) #взаимно (28)

5,402

Followers With Bio

4,598

Followers Without Bio

54.02%

% With Bio

45.98%

% 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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Viral Tweets

Top 5 by likes+RTs from 3,170 analyzed

3,615

Combined Engagement

0

Total Likes

3,615

Total Retweets

723

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

60%

With Hashtags

100%

With @Mentions

80%

With Links

Topical Analysis:

Tennis Music Politics Personal Branding Social Media Promotion
Надежда Гуськова/Na…
@Nadezda_guskova

RT @dimsmirnov175: «Ты полети к родному дому, отсюда к родному дому»: Умер Дмитрий Хворостовский, великий русский певец https://t.co/7b6jh94Ujx

2017-11-22
Retweets: 1,502 Likes: 0 Engagement: 1,502
Надежда Гуськова/Na…
@Nadezda_guskova

RT @KremlinResident: Браво! https://t.co/ZIvujAjKgP

2017-11-01
Retweets: 1,019 Likes: 0 Engagement: 1,019
Надежда Гуськова/Na…
@Nadezda_guskova

RT @TeamRussia: Друзья, это просто невероятно!! Вы просто лучшие! Мы с вами - одна страна и одна команда! #ВместеМыКоманда https://t.co/zAarnezUjK

2018-07-08
Retweets: 693 Likes: 0 Engagement: 693
Надежда Гуськова/Na…
@Nadezda_guskova

RT @EmbassyofRussia: Сегодня исполняется два года с трагедии рейса #7K9268 над Синаем, когда в результате подлого теракта погибли 224 человека. Помним. Скорбим. https://t.co/jwigVbQ6nA

2017-10-31
Retweets: 219 Likes: 0 Engagement: 219
Надежда Гуськова/Na…
@Nadezda_guskova

RT @__Leo__8: Из смс испанского болельщика: "Русские - звери. Себе забили, нашим забили. Уйти бы отсюда живыми" #чм2018 #ESPRUS #РоссияИспания

2018-07-02
Retweets: 182 Likes: 0 Engagement: 182

Key Insights & Takeaways

Her top tweet promotes a birthday message for Vladimir Putin, indicating a political or public figure connection. She frequently shares personal updates and interactions, suggesting a focus on maintaining a personal brand. Her account includes links to Instagram and email, highlighting her professional outreach efforts.

Strengths

  • + Established follower base of 53,841
  • + 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 @Nadezda_guskova reveals an growing Twitter presence with 53,841 followers. The account demonstrates a content-creator strategy, averaging 9.0 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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About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025