خالد البديع
سنابي AL_Bdai3
33,661
Followers
676
Following
3,531
Tweets
119.7
Avg Engagement
18
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @AL_BDAI3'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:2011-01-07
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:342
- Avg Likes per Tweet:7.4
- Avg Retweets per Tweet:112.4
- Followers Analyzed:32,520
Engagement Analysis
Based on 342 tweetsThe account shows a balanced engagement rate, with tweets receiving a mix of likes and retweets. The content appears to resonate with followers, as evidenced by the average interaction levels.
7.4
Avg Likes/Tweet
112.4
Avg Retweets/Tweet
2,524
Total Likes
38,428
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
1
Median Retweets
18
75th Percentile
8,714
Top Tweet
3.56
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
26.0%
Original
34.8%
Replies
26.6%
Retweets
12.6%
Quotes
0.0%
Threads
0.0%
With Media
45.3%
With Links
7.9%
With #Tags
64.0%
With @Mentions
15.2%
With Emojis
81
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.34
Reply/Original Ratio
0.47
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.9%
Weekday Posts
25.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 342 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 91 retweets (27% 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 342 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 32,520 followersThe audience likely includes young adults and teenagers interested in Snapchat, Halloween, and entertainment content. They may also be interested in local or regional events and trends.
Good
Audience Quality
18.1%
Suspicion Index
25.6%
Low-Quality %
63
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.9%
Empty Bio
15.3%
<10 Tweets
8.5%
Mass Following (>2K)
0.0%
New (<90 days)
36.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.3%
No URL
9.3%
<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.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
55,482,975
Total Potential Reach
63
Median Follower Reach
258
75th Percentile Reach
8.0%
>1K followers
1.3%
>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).
67.0%
Creators
21,786 accounts
17.7%
Consumers
5,755 accounts
15.3%
Dormant
4,979 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):
274
Verified Followers
0.84% of total
6,766
Protected Accounts
20.81% of total
6 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 |
|---|---|---|---|
| @NabilAlawadhy | 11,222,458 | Lawyer | Travel, Food, Photography |
| @TfTeeeSH | 2,544,027 | - | - |
| @Rt3arb | 1,525,344 | Meteorologist | Politics, News, Middle East |
| @MeshalSari | 1,304,636 | Writer | faith, sincerity, kindness |
| @samanews_q8 | 1,271,195 | News Outlet | News, Kuwait, Media |
| @60Naif | 1,116,574 | Historian | History, Arabian Peninsula, Snapchat |
| @NewsBroking | 908,759 | - | - |
| @M_Jarallah | 813,702 | Poet | Poetry, Literature, Writing |
| @mesmmarr | 587,971 | Political Analyst | Political, Sports, Social |
| @Ahmed_alshmrani | 576,515 | صحفي | writing, sports analysis, journalism |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
18,898
Followers With Bio
13,622
Followers Without Bio
58.11%
% With Bio
41.89%
% 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 342 analyzed27,609
Combined Engagement
0
Total Likes
27,609
Total Retweets
5,522
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @BedayaTv: تصويتكم بالرتويت لـ متسابقكم : محمد ابن دعيرم لـ الفوز بـ رئيس البلدية لـ قرية زد رصيدك 💫 #زد_رصيدك8 حصريًا ومجانًا على شاهد…
RT @hamdy_s_t: الوضع فـ الاستراحات قبل #كأس_العالم https://t.co/J14ZEqm3FY
RT @Nawaf_STATS: 🚨🚨🚨🚨— رسميًا : انتهت مقارنة ليونيل ميسي مع أي لاعب آخر.
RT @ARG4ARB: لحظة تسجيل مونتيل للركلة الحاسمة في بوينس آيرس 🤩🇦🇷. https://t.co/gQReSxYnTo
RT @Sherif_mobarak: شاب يمني إسمه عمر العمودي قرر يبعت رسالة غزل للمذيعة المشهورة كريستيان مذيعة قناة الحدث وفوجئ تاني اليوم إن المذيعة ردت…
Key Insights & Takeaways
The user frequently shares Snapchat content, indicating a strong presence on the platform and a focus on visual storytelling. Seasonal and event-based tweets, such as Halloween, suggest an interest in engaging with trending topics and community events. The use of hashtags and links to external content indicates an effort to increase visibility and drive traffic to other platforms.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 33,661
- + 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 @AL_BDAI3 reveals an well-established Twitter presence with 33,661 followers. The account demonstrates a conversation-first approach, averaging 119.7 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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