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@daif_alsagar

إعلامي رياضي ..مهتم بالإعلانات والتسويق العقاري التواصل هنا.. https://wsend.co/966550017772

Kingdom of Saudi Arabia https://twitter.com/daif_alsagar?fbclid=PAAaa69J4WijydglEzLwc8dxrxpz7s7sY8Jxgyj0ZJTEad1CU6ZzGlIXpYW Joined 2010-12-29 Date of Analysis: Dec 16, 2025

83,435

Followers

1,130

Following

57,045

Tweets

58.9

Avg Engagement

220

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @daif_alsagar'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:2010-12-29
  • Verification:No
  • Location:Kingdom of Saudi Arabia

Data Summary

  • Tweets Analyzed:3,247
  • Avg Likes per Tweet:6.4
  • Avg Retweets per Tweet:52.4
  • Followers Analyzed:10,000

Engagement Analysis

Based on 3,247 tweets

daif_alsagar's tweets typically receive around 348 likes and 228 retweets on average, indicating a moderate level of interaction. His content often invites debate and discussion, especially on sports-related topics.

6.4

Avg Likes/Tweet

52.4

Avg Retweets/Tweet

20,847

Total Likes

170,284

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

0

Median Likes

2

Median Retweets

13

75th Percentile

9,298

Top Tweet

0.71

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

24.8%

Original

36.5%

Replies

32.5%

Retweets

6.2%

Quotes

0.0%

Threads

0.0%

With Media

45.5%

With Links

34.0%

With #Tags

71.1%

With @Mentions

8.3%

With Emojis

134

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.47

Reply/Original Ratio

0.19

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

72.7%

Weekday Posts

27.3%

Weekend Posts

Top Hashtags

#ملعب_sbc (497) #أهل_اللعبة (280) #الاهلي (103) #كأس_العالم_قطر_2022 (80) #الاتحاد (59) #الهلال (52) #الأهلي (50) #النصر (46) #كأس_العالم_قطر2022 (45) #الشباب (21)

Most Mentioned

@k_alshenaif (511) @daif_alsagar (120) @alahli_fc (42) @moisaudiarabia (32) @salman19761976 (32) @kbrit_11 (31) @waleedmuath (27) @mfarraj194 (26) @ateehsaleh (25) @fahdsher (24)

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Content Strategy Analysis

Based on 3,247 tweets

Content Type Distribution

Content Breakdown

Original Tweets 806 (25%)
Replies 1,184 (36%)
Retweets 1,056 (33%)
Quote Tweets 201 (6%)

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 1,056 retweets (33% 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 3,247 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

His audience includes sports enthusiasts, media professionals, and individuals interested in real estate and advertising. The engagement suggests a mix of supporters and critics, with a notable presence of sports fans.

Below Average

Audience Quality

35.6%

Suspicion Index

24.4%

Low-Quality %

27

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

44.4%

Empty Bio

7.0%

<10 Tweets

58.8%

Mass Following (>2K)

0.0%

New (<90 days)

72.7%

Low Ratio (<0.1)

0.0%

New (<180 days)

97.2%

No URL

4.3%

<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.

9,726,295

Total Potential Reach

27

Median Follower Reach

132

75th Percentile Reach

7.1%

>1K followers

1.4%

>10K followers

0.3%

>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).

84.2%

Creators

8,416 accounts

8.9%

Consumers

888 accounts

7.0%

Dormant

696 accounts

100

Verified Followers

1.0% of total

0.3%

Professional Bios

founder, dev, analyst, etc.

0.02

Median Follow Ratio

follower/following

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):

Kingdom of Saudi Arabia (449) المملكة العربية السعودية (376) الرياض, المملكة العربية السعود (165) جدة, المملكة العربية السعودية (161) Yemen (121) Jeddah (98) الرياض (55) اليمن (51) مكة المكرمة, المملكة العربية ا (43) . (18)

100

Verified Followers

1.0% of total

324

Protected Accounts

3.24% of total

2 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
@460k_ 459,985 - -
@Reii775 432,646 - -
@SamiAlharirii 312,496 Inspirational Truth, Honesty, Integrity
@Hattan_Alnajjar 307,784 Media Personality Sports, Writing, Talent Acquisition
@hamad_dosare 283,012 - -
@SaedKanber 236,924 Interior Designer Design, Execution, Supervision
@faisal_rakan_ 228,844 Oil Industry Saudi Arabia, Oil, Nationalism
@I333J 213,937 Unknown Saudi Arabia, loyalty, wisdom
@IVR6 205,565 Footballer Al-Ahli, football, sports
@ABUSHAROOQ 187,870 Trainer/Coach Strategic Planning, Body Language, Social Specialist

Top Keywords in Follower Bios

win (18) account (16) redux (16) akun (15) bigwin (13) saudi (12) life (11) massage (9) love (9) eng (9)

Top Hashtags in Follower Bios

(12) #الا (12) #الاهلي (8) #redux (8) #bnb (6) #jihantesti (5) #btc (5) #crypto (4) #متابعين (4) #abdu (3)

5,564

Followers With Bio

4,436

Followers Without Bio

55.64%

% With Bio

44.36%

% 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 3,247 analyzed

38,580

Combined Engagement

0

Total Likes

38,580

Total Retweets

7,716

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

60%

With Hashtags

100%

With @Mentions

100%

With Links

Topical Analysis:

Sports Journalism Transparency Real Estate Marketing Advertising Social Commentary Public Engagement
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@daif_alsagar

RT @ALAHLI_FC: الفرق .. تدرون اش الفرق ؟! خلّي وخذيته غصب 👌🏻🤩 https://t.co/k4ncK9PkhA

2023-01-22
Retweets: 9,298 Likes: 0 Engagement: 9,298
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@daif_alsagar

RT @WaleedMuath: ياصاحبي في وقفتك كيف أجازيك وأنا أدري إنك ما تدوّر عوضها https://t.co/4pV4Rg6EUV

2023-05-04
Retweets: 9,109 Likes: 0 Engagement: 9,109
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@daif_alsagar

RT @spagov: سمو #ولي_العهد يطلق مشروع الاستثمار والتخصيص للأندية الرياضية، بعد اكتمال الإجراءات التنفيذية للمرحلة الأولى، تحقيقًا لمستهدفات #رؤية_السعودية_2030 في القطاع الرياضي. https://t.co/zMdXFIcACR #واس https://t.co/gfaFIf3SMq

2023-06-05
Retweets: 7,982 Likes: 0 Engagement: 7,982
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@daif_alsagar

RT @MOISaudiArabia: المخدرات خطر على الوطن والمجتمع ومسؤوليتك أساسية في دعم الجهود الأمنية بالإبلاغ عن مهربي ومروجي المخدرات. #بلغ_عنهم #الحرب_على_المخدرات https://t.co/uBdwjgGSdS

2023-06-05
Retweets: 6,463 Likes: 0 Engagement: 6,463
ضيف الله الصقر
@daif_alsagar

RT @MOISaudiArabia: بلغ عنهم.. #الحرب_على_المخدرات https://t.co/SGP5HiPCSf

2023-04-20
Retweets: 5,728 Likes: 0 Engagement: 5,728

Key Insights & Takeaways

He frequently addresses sports controversies and calls for respect in competitions. He engages with public figures, such as the Minister of Sports, to advocate for transparency. His content blends sports journalism with broader social and professional themes.

Strengths

  • + Established follower base of 83,435
  • + 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 @daif_alsagar reveals an growing Twitter presence with 83,435 followers. The account demonstrates a conversation-first approach, averaging 58.9 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