DT en Español
Noticias de tecnología, reviews, guías y más.
170,375
Followers
130,764
Following
79,646
Tweets
1.0
Avg Engagement
751
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DigitalTrendsEs'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:2015-07-13
- Verification:No
- Location:Portland, OR
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:0.7
- Avg Retweets per Tweet:0.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account has moderate engagement with an average of 8 likes and 4 retweets per tweet. The engagement rate is relatively low compared to the follower count, indicating potential for improvement.
0.7
Avg Likes/Tweet
0.3
Avg Retweets/Tweet
2,417
Total Likes
949
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
2
75th Percentile
15
Top Tweet
0.01
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
99.8%
Original
0.0%
Replies
0.2%
Retweets
0.0%
Quotes
0.0%
Threads
0.1%
With Media
100.0%
With Links
23.1%
With #Tags
0.2%
With @Mentions
0.5%
With Emojis
94
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.0
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
95.9%
Weekday Posts
4.1%
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 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 6 retweets (0% 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 3,250 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 audience likely includes tech enthusiasts, students, and professionals interested in the latest technology trends. The content is tailored for those seeking informative and educational material.
Average
Audience Quality
34.0%
Suspicion Index
46.6%
Low-Quality %
5
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.1%
Empty Bio
52.4%
<10 Tweets
8.2%
Mass Following (>2K)
0.0%
New (<90 days)
66.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.1%
No URL
42.1%
<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.
33,018,997
Total Potential Reach
5
Median Follower Reach
76
75th Percentile Reach
5.3%
>1K followers
0.6%
>10K followers
0.2%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
32.5%
Creators
16,232 accounts
15.2%
Consumers
7,579 accounts
52.4%
Dormant
26,189 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):
324
Verified Followers
0.32% of total
7,908
Protected Accounts
7.83% of total
8 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 |
|---|---|---|---|
| @ponchohd | 1,963,323 | Actor | ACNUR, Goodwill Ambassador, Fatherhood |
| @SinghLions | 1,333,729 | Restaurateur | Food, Travel, Influencer |
| @AmandaCerny | 1,286,918 | Comedian | Comedy, Life, Fitness |
| @WindyGirk | 1,097,654 | Content Creator | Otaku, Gamer, Memes |
| @AskAaronLee | 1,002,948 | Regional Manager | Social media, Cappuccino, Introvert |
| @Reportero24 | 945,388 | - | - |
| @AztecaNoticias | 892,999 | News Outlet | - |
| @fuedicho | 798,771 | Writer | Frases, versos, refranes |
| @vibra_co | 702,217 | Musician | pop, baladas, romántica |
| @RealArea | 677,211 | Unknown | None |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
62,797
Followers With Bio
38,198
Followers Without Bio
62.18%
% With Bio
37.82%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,250 analyzed60
Combined Engagement
43
Total Likes
17
Total Retweets
12
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
El grande entre grandes del fútbol mundial dejó de existir a los 82 años https://t.co/67Lj0YI2gd
"¡Esperamos que tengan una temporada navideña edificante!", dice el equipo de robótica https://t.co/P0zMSp7kBB
El tricampeón mundial e ídolo del Santos de Sao Paulo parte a su reino celestial https://t.co/lGNG3YumZD
Trágico final: belga se suicida tras 6 semanas hablando con su IA https://t.co/LLZ2CsDZux
Los Archivos Secretos X regresan con el director de Black Panther https://t.co/aRTKXWw9ZW
Key Insights & Takeaways
The account's top tweets focus on significant news events, such as the passing of notable figures and important milestones in sports and technology. The content is primarily news-based, with a focus on informative and educational material. The account's engagement could be boosted by incorporating more interactive elements or multimedia content.
Strengths
- + Established follower base of 170,375
- + 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 @DigitalTrendsEs reveals an growing Twitter presence with 170,375 followers. The account demonstrates a content-creator strategy, averaging 1.0 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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