SCB Thailand
The official Twitter account of Siam Commercial Bank : ธนาคารไทยพาณิชย์ นโยบายความเป็นส่วนตัว: https://www.scb.co.th/th/personal-banking/privacy-notice.html
654,475
Followers
24,896
Following
130,812
Tweets
1.6
Avg Engagement
784
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @scb_thailand'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:2009-08-26
- Verification:No
- Location:Thailand
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:0.8
- Avg Retweets per Tweet:0.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account maintains a consistent level of engagement with its followers, indicating a loyal and active audience. Promotional tweets, especially those tied to in-store discounts, drive higher interaction rates.
0.8
Avg Likes/Tweet
0.8
Avg Retweets/Tweet
2,442
Total Likes
2,615
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
0
75th Percentile
1,156
Top Tweet
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
5.4%
Original
94.6%
Replies
0.0%
Retweets
0.1%
Quotes
0.0%
Threads
0.1%
With Media
9.2%
With Links
3.4%
With #Tags
94.6%
With @Mentions
1.1%
With Emojis
172
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
17.66
Reply/Original Ratio
0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
79.1%
Weekday Posts
20.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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.
Posting Patterns & Optimal Timing
Based on 3,250 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 50,000 followersThe primary audience is Thai consumers interested in banking services and retail discounts. The content is tailored to appeal to a broad demographic, with a focus on young to middle-aged individuals looking for financial and shopping incentives.
Below Average
Audience Quality
36.1%
Suspicion Index
48.6%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
56.5%
Empty Bio
53.6%
<10 Tweets
2.9%
Mass Following (>2K)
0.0%
New (<90 days)
79.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.1%
No URL
40.8%
<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.
12,458,850
Total Potential Reach
2
Median Follower Reach
13
75th Percentile Reach
1.2%
>1K followers
0.2%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
26.4%
Creators
13,213 accounts
20.0%
Consumers
9,989 accounts
53.6%
Dormant
26,798 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):
121
Verified Followers
0.12% of total
15,110
Protected Accounts
15.11% of total
4 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 |
|---|---|---|---|
| @CryptoWeb3_NFT | 4,363,972 | - | - |
| @Ripple | 2,628,329 | Finance | finance, technology, global payments |
| @pantip_kratoo | 2,333,272 | Content Creator | Entertainment, Sharing, Fun |
| @johnwinyu | 2,014,081 | Executive Director | Leadership, Innovation, Social Impact |
| @pyPMnPC4SwAxkya | 376,216 | Unavailable | N/A |
| @bobanetwork | 363,868 | Blockchain Developer | Boba, Ethereum, Hiring |
| @digitalassetbuy | 322,115 | Speculator | Cryptocurrency, Investing, Speculation |
| @Nattha_ThaiPBS | 306,190 | - | - |
| @sentosumosaba | 224,141 | Crypto Influencer | Crypto, XRP, Market Cap |
| @MayWongCNA | 222,296 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
46,893
Followers With Bio
53,107
Followers Without Bio
46.89%
% With Bio
53.11%
% 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 3,250 analyzed2,976
Combined Engagement
1,017
Total Likes
1,959
Total Retweets
595
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
บัตรเดบิต & บัตรเติมเงิน SCB M VISA รับเพิ่ม 50฿ ฟรี* เมื่อซื้อ Food Card มูลค่า 250฿ ที่ Gourmet Eats ภายในห้างเครือเดอะมอลล์ สาขาที่ร่วมรายการ* กดรับสิทธิ์ผ่าน M Card Application ตามเงื่อนไขที่ธนาคารและห้างกำหนด 13 มี.ค.66 – 31 ก.ค.66 เพิ่มเติม https://t.co/uBFDLbFcZk htt
โปรว้าวซ่า ท้าไปช้อป ช้อปผ่านบัตรเดบิต/บัตรเติมเงิน SCB M VISA ครบ 500฿ ขึ้นไป รับคูปองเงินสด 50฿* ทุกแผนกภายในห้างเครือเดอะมอลล์ (รวมเพาเวอร์ มอลล์ และกรูเมต์ มาร์เก็ต) ที่ร่วมรายการ* ตามเงื่อนไขที่กำหนด ตั้งแต่ 1 มี.ค.66 – 31 ก.ค.66 เพิ่มเติม https://t.co/IIymiisl0Y https://
SUMMER หนีร้อนไปพึ่งช้อป สมัครบัตรเดบิต SCB M VISA ฟรี! กระเป๋า KAKAO FRIENDS Limited Edition มูลค่า 2,990฿* ช้อปเพลินกับดีลสุดคุ้ม รับ E-Coupon ส่วนลดรวมสูงสุด 200฿* ภายในห้าง ตั้งแต่ 1 ต.ค.65 – 31 มี.ค.66 *เงื่อนไขเป็นไปตามที่ธนาคาร&ห้างกำหนด เพิ่มเติม https://t.co/HPaTVc
ตั้งแต่ 10 มี.ค.66 เป็นต้นไป SCB ขอแจ้งยกเลิกการส่ง SMS แบบแนบลิงก์ (ยกเว้น กรณีลูกค้าร้องขอด้วยตนเองผ่านช่องทางธนาคารเท่านั้น) หากลูกค้าได้รับ SMS ที่มีลิงก์ อย่ากดเด็ดขาด! ให้สงสัยไว้ก่อน ว่าเป็น #มิจฉาชีพ #มีสติไม่เสียสตางค์ #SCBThailand https://t.co/MjhCBIlIyd
รวมเบอร์รับแจ้งเหตุ #ภัยทางการเงินจากมิจฉาชีพ แต่ละธนาคาร #ภัยการเงิน #เตือนภัยมิจฉาชีพ https://t.co/hY2BSR22zv
Key Insights & Takeaways
The account heavily relies on partnerships with retail chains like The Mall Group to boost engagement and reach a wider audience. Promotional content, especially those offering cashback or free gifts, tends to perform well in terms of likes and retweets. The use of limited edition items and exclusive deals helps create urgency and encourages immediate action from followers.
Strengths
- + Established follower base of 654,475
- + 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 @scb_thailand reveals an growing Twitter presence with 654,475 followers. The account demonstrates a conversation-first approach, averaging 1.6 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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