حميص

حميص

@7mai9

مصور، لا تسيء بي الظن ولا تحسنه اتركني بلا ظنون، ما أحرص تشوفني كثير بس اسعى اني أكون لك مفيد .. بالسناب تشوف شي ما تشوفه هنا حيّاك اذا ودك، مرخص برقم 964640

حائل, المملكة العربية السعودية https://www.snapchat.com/download?sid=f742423fc96f40cbb945594f8f4acddc Joined 2012-03-20 Date of Analysis: Dec 16, 2025

98,139

Followers

996

Following

18,503

Tweets

725.5

Avg Engagement

68

Listed

Yes

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @7mai9'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:2012-03-20
  • Verification:Yes
  • Location:حائل, المملكة العربية السعودية

Data Summary

  • Tweets Analyzed:599
  • Avg Likes per Tweet:33.4
  • Avg Retweets per Tweet:692.1
  • Followers Analyzed:50,000

Engagement Analysis

Based on 599 tweets

The account maintains a steady level of engagement with an average of 718 likes and 447 retweets per tweet. The use of incentives like monetary rewards encourages user interaction and retweets.

33.4

Avg Likes/Tweet

692.1

Avg Retweets/Tweet

20,023

Total Likes

414,573

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

1

Median Likes

0

Median Retweets

55

75th Percentile

142,569

Top Tweet

7.39

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

33.9%

Original

58.3%

Replies

4.8%

Retweets

3.0%

Quotes

0.0%

Threads

0.2%

With Media

11.9%

With Links

6.2%

With #Tags

63.8%

With @Mentions

21.5%

With Emojis

74

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.72

Reply/Original Ratio

0.62

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

63.8%

Weekday Posts

36.2%

Weekend Posts

Top Hashtags

#الهلال_ريال_مدريد (4) #يوم_العلم (3) #السعوديه_الارجنتين (3) #يوم_التأسيس (2) #الارجنتين_فرنسا (2) #المغرب_البرتغال (2) #برودكات (1) #طاش_العودة (1) #مبارك_عليكم_الشهر (1) #البدر_في_إثراء (1)

Most Mentioned

@t_almosa (19) @ghadahaleidi (9) @nawafosaimi (7) @kingsalman (6) @perfumesmap (5) @towsaad (5) @iihsad (5) @al__sebaie (4) @7mai9 (4) @noora_a73 (4)

Want This Report as PDF?

We're building PDF export for these analytics reports. Register your interest to get early access.

Register Interest

Content Strategy Analysis

Based on 599 tweets

Content Type Distribution

Content Breakdown

Original Tweets 203 (34%)
Replies 349 (58%)
Retweets 29 (5%)
Quote Tweets 18 (3%)

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 29 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 599 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 50,000 followers

The audience appears to be interested in photography, sports predictions, and interactive content. They are likely active on social media and enjoy participating in challenges and discussions.

Good

Audience Quality

16.6%

Suspicion Index

20.4%

Low-Quality %

70

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

36.2%

Empty Bio

8.4%

<10 Tweets

10.5%

Mass Following (>2K)

0.0%

New (<90 days)

39.2%

Low Ratio (<0.1)

0.0%

New (<180 days)

93.0%

No URL

4.6%

<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 Detector

Follower Reach & Influence

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

105,424,155

Total Potential Reach

70

Median Follower Reach

248

75th Percentile Reach

6.6%

>1K followers

1.2%

>10K followers

0.5%

>50K followers

0.3%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

76.7%

Creators

38,362 accounts

14.9%

Consumers

7,439 accounts

8.4%

Dormant

4,199 accounts

380

Verified Followers

0.76% of total

0.9%

Professional Bios

founder, dev, analyst, etc.

0.15

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):

المملكة العربية السعودية (3,154) Kingdom of Saudi Arabia (1,932) Riyadh (1,709) الرياض (1,018) Jeddah (563) Riyadh, Kingdom of Saudi Arabia (561) جدة, المملكة العربية السعودية (511) الرياض, المملكة العربية السعودية (495) حائل, المملكة العربية السعودية (306) Saudi Arabia (261)

499

Verified Followers

0.5% of total

21,720

Protected Accounts

21.72% of total

7 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
@abdulrahman 8,480,856 Royalty Saudi, Faith, Trust
@News_Ejazah 8,199,006 News Coverage education, news, Saudi Arabia
@TheArabHash 3,877,067 News Aggregator News, Photos, Videos
@amdhlom 2,877,734 - -
@msstol 2,353,158 Comedian Comedy, Fashion, Writing
@Thunayyan16 2,067,426 Entrepreneur Sports, Fitness, Motivation
@MrSaa3d 2,031,527 Tech Influencer Technology, Advertising, Snapchat
@7madms 1,879,260 Influencer Travel, Adventure, Peace
@AliNajim 1,736,734 Entrepreneur Digital Marketing, Education, Public Speaking
@AlTrendAlsaudi 1,730,668 News Aggregator News, Trending Topics, Saudi Arabia

Top Keywords in Follower Bios

student (542) life (510) love (395) live (186) medical (182) business (177) engineer (173) graduate (154) follow (150) specialist (148)

Top Hashtags in Follower Bios

(162) #الهلال (102) #abdu (100) #kau (52) #iau (51) #الا (41) #mbs (37) #alhilal (30) #infj (29) #ksu (28)

61,515

Followers With Bio

38,485

Followers Without Bio

61.52%

% With Bio

38.48%

% 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.

Buy Follower Data

Export full follower list with profile details, bios, locations, and follower counts as CSV.

Buy Followers - from $15

Buy Tweet Data

Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.

Buy Tweets - from $15

Viral Tweets

Top 5 by likes+RTs from 599 analyzed

406,312

Combined Engagement

3,457

Total Likes

402,855

Total Retweets

81,262

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

80%

With @Mentions

20%

With Links

Topical Analysis:

Photography Social Media Interaction Sports Prediction Personal Storytelling Audience Engagement Incentives

Key Insights & Takeaways

The user leverages personal storytelling and motivational quotes to build a connection with their audience. They incorporate interactive elements such as predictions and challenges to boost engagement. Monetary incentives are used effectively to encourage retweets and participation.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 98,139
  • + 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 @7mai9 reveals an well-established Twitter presence with 98,139 followers. The account demonstrates a conversation-first approach, averaging 725.5 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.

Need Programmatic Access?

We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.

Register Interest for API Access

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