AliExpress España
Habla, juega y diviértete con nosotros 💭Si te lo imaginas, está en AliExpress 🛍
97,042
Followers
370
Following
15,378
Tweets
663.4
Avg Engagement
185
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @AliExpressES'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:2014-01-13
- Verification:Yes
- Location:España
Data Summary
- Tweets Analyzed:3,220
- Avg Likes per Tweet:605.7
- Avg Retweets per Tweet:57.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,220 tweetsThe account consistently receives a high number of likes and retweets, showing strong audience interaction. The engagement rate suggests that the content is both appealing and shareable.
605.7
Avg Likes/Tweet
57.8
Avg Retweets/Tweet
1,950,277
Total Likes
185,959
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
14
Median Likes
1
Median Retweets
73
75th Percentile
950,999
Top Tweet
6.84
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
23.7%
Original
60.3%
Replies
3.5%
Retweets
12.5%
Quotes
0.0%
Threads
0.1%
With Media
55.1%
With Links
2.4%
With #Tags
50.0%
With @Mentions
15.2%
With Emojis
61
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.55
Reply/Original Ratio
3.56
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
95.4%
Weekday Posts
4.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,220 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 113 retweets (4% 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 3,220 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 followersThe audience appears to be interested in entertainment, humor, and online shopping, particularly through AliExpress. They engage actively with the content, indicating a loyal and interactive fan base.
Good
Audience Quality
18.9%
Suspicion Index
23.6%
Low-Quality %
43
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36.7%
Empty Bio
16.8%
<10 Tweets
8.6%
Mass Following (>2K)
0.0%
New (<90 days)
42.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.4%
No URL
10.4%
<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.
8,952,417
Total Potential Reach
43
Median Follower Reach
174
75th Percentile Reach
5.2%
>1K followers
0.9%
>10K followers
0.3%
>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).
65.3%
Creators
6,535 accounts
17.9%
Consumers
1,785 accounts
16.8%
Dormant
1,680 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):
30
Verified Followers
0.3% of total
958
Protected Accounts
9.58% 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 |
|---|---|---|---|
| @ConspiracionESP | 781,235 | Conspiracy theorist | Sociedad, Anti-sistema, igualdad |
| @VideojuegosGAME | 669,282 | Videojuegos | Ofertas, novedades, humor |
| @MediaMarkt_es | 529,131 | Retail | Novedades, tecnología, ofertas |
| @duolingoespanol | 327,376 | Language Learning | idiomas, aprendizaje, gratuito |
| @DescuentosRata | 286,936 | Discounts | Ofertas, Ahorro, Compras |
| @IvanForeverLife | 231,925 | - | - |
| @secoweedcodein | 189,633 | Musician | music, records, business |
| @nacional_memes | 185,542 | Meme Creator | Universidades, Memes, Política |
| @vitu_yt | 178,168 | Content Creator | football reactions, CEO, business opportunities |
| @kansaita_ | 164,424 | Copywriter | memes, copywriter, agobiada |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,326
Followers With Bio
3,674
Followers Without Bio
63.26%
% With Bio
36.74%
% 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 3,220 analyzed1,428,094
Combined Engagement
1,308,666
Total Likes
119,428
Total Retweets
285,619
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
de nada Andrea, disfruta la lamparita de noche https://t.co/CdWI5AMcjd
lo que faltaba, que ahora la culpa también fuese nuestra... https://t.co/z5j8ROagz3
QUE UN PLACER LO PONE AHÍ https://t.co/C2m0PJplpN
No sé si estáis para tirar beef siendo la única aerolínea que cobra por el equipaje de mano... https://t.co/4cXFJyECL1
Nos estamos quedando sin stock de esto, ¿alguien sabe algo? https://t.co/ix6GyKYoAi
Key Insights & Takeaways
The account uses humor and relatable content to connect with its audience Product promotion is a key element, with many tweets including links to AliExpress items The use of emojis and casual language helps to create a friendly and approachable tone
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 97,042
- + 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 @AliExpressES reveals an well-established Twitter presence with 97,042 followers. The account demonstrates a conversation-first approach, averaging 663.4 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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