David Ingles
Non-award winning journalist. Host of the China show. Chief Markets Editor @BloombergTV APAC. Opinions Mine. No investment advice. No endorsements.
70,542
Followers
2,188
Following
11,201
Tweets
67.4
Avg Engagement
1,407
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DavidInglesTV'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:2012-02-19
- Verification:No
- Location:Manila Shanghai Singapore HK
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:49.6
- Avg Retweets per Tweet:17.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,249 tweetsDavid Ingles maintains a high level of engagement with his followers, indicating a strong and active community. His tweets often spark discussions and retweets, especially on topics like politics and market trends.
49.6
Avg Likes/Tweet
17.9
Avg Retweets/Tweet
161,004
Total Likes
58,004
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
15
Median Likes
3
Median Retweets
46
75th Percentile
40,926
Top Tweet
0.96
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
57.3%
Original
32.2%
Replies
6.4%
Retweets
4.0%
Quotes
0.0%
Threads
0.2%
With Media
65.9%
With Links
2.6%
With #Tags
25.1%
With @Mentions
9.4%
With Emojis
124
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.56
Reply/Original Ratio
0.63
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
85.2%
Weekday Posts
14.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 tweetsContent Type Distribution
Content Breakdown
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 209 retweets (6% 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 3,249 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 10,000 followersHis audience is likely interested in global markets, politics, and current affairs, particularly in Asia. The content appeals to professionals and enthusiasts looking for insights into economic and political developments.
Average
Audience Quality
28.4%
Suspicion Index
33.0%
Low-Quality %
45
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.8%
Empty Bio
29.2%
<10 Tweets
18.6%
Mass Following (>2K)
0.0%
New (<90 days)
57.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.6%
No URL
20.3%
<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.
28,961,341
Total Potential Reach
45
Median Follower Reach
170
75th Percentile Reach
6.3%
>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).
50.5%
Creators
5,051 accounts
20.2%
Consumers
2,025 accounts
29.2%
Dormant
2,924 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):
268
Verified Followers
2.68% of total
1,257
Protected Accounts
12.57% of total
5 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 |
|---|---|---|---|
| @JohnCena | 14,071,331 | Wrestler | Wrestling, Motivation, Self-promotion |
| @jimcramer | 2,066,278 | TV Host | Stocks, Investing, CNBC |
| @lenirobredo | 1,731,552 | Politician | Human Rights, Public Service, Family |
| @Stocktwits | 976,859 | Finance | finance, investing, global |
| @iownjd | 764,466 | Lawyer | learn, inspire, engage |
| @cryptomanran | 714,874 | Crypto Influencer | Cryptocurrency, Investing, Blockchain |
| @zammit_marc | 385,316 | Filmmaker | Film, Acting, Producing |
| @StephenCaggiano | 342,153 | Content Creator | Content creation, Access, Resource for creators |
| @AppPowerGroup | 322,057 | App Developer | Love, Shopping, Soulmate |
| @Georg_Grey | 300,991 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,423
Followers With Bio
4,577
Followers Without Bio
54.23%
% With Bio
45.77%
% 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 3,249 analyzed59,943
Combined Engagement
47,603
Total Likes
12,340
Total Retweets
11,989
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
Silly question (or maybe not). With Bongbong Marcos set to become Philippine President, how would the administration commemorate the Feb 25 EDSA People Power holiday? Kinda awkward no? #Halalan2022 #Eleksyon2022
The house special will be Optimus Prime Rib https://t.co/H2hmbXJdby
Something big is taking place in India 🇮🇳 HSBC’s Fred Neumann has been covering Asia for decades. What’s happening in India is one of the most exciting things he's seen. Must watch. https://t.co/yFiC3VvPhJ
RT @Quicktake: “When are we going to do something?” @warriors coach Steve Kerr gives a passionate plea for gun control after the fatal shooting at an elementary school in Uvalde, Texas https://t.co/FGucrx4tqn https://t.co/HnOs3NqDdf
This is a super important story right now. Every single economist I’ve had on shows is following this extremely closely. https://t.co/2kyKcz2FaC https://t.co/XW7ErAxwNE
Key Insights & Takeaways
He frequently engages with political and economic topics in Asia, such as the Philippines and India. His content often includes a mix of serious analysis and lighter, more humorous tweets. He leverages his position at BloombergTV to provide market insights and commentary on global events.
Strengths
- + Established follower base of 70,542
- + 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 @DavidInglesTV reveals an growing Twitter presence with 70,542 followers. The account demonstrates a content-creator strategy, averaging 67.4 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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