Innovasport
La felicidad está en el deporte. Tu deporte en Innovasport 🏃🏻♀️
265,602
Followers
446
Following
50,250
Tweets
190.6
Avg Engagement
268
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @innovasport'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:2009-12-03
- Verification:No
- Location:México
Data Summary
- Tweets Analyzed:3,241
- Avg Likes per Tweet:14.2
- Avg Retweets per Tweet:176.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,241 tweetsThe account has a moderate to high engagement rate, with an average of 806 likes and 136 retweets per tweet. The use of visuals and emojis likely contributes to its interactive nature.
14.2
Avg Likes/Tweet
176.4
Avg Retweets/Tweet
46,017
Total Likes
571,654
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
0
Median Retweets
9
75th Percentile
548,909
Top Tweet
0.72
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
43.1%
Original
46.2%
Replies
4.7%
Retweets
6.0%
Quotes
0.0%
Threads
0.0%
With Media
60.0%
With Links
17.2%
With #Tags
57.9%
With @Mentions
53.4%
With Emojis
100
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.07
Reply/Original Ratio
1.26
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.6%
Weekday Posts
33.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,241 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 153 retweets (5% 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 3,241 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 likely sports enthusiasts, particularly women interested in fitness and athletics. The account also appeals to those looking for motivational quotes and lifestyle content.
Average
Audience Quality
25.2%
Suspicion Index
30.6%
Low-Quality %
25
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.3%
Empty Bio
22.5%
<10 Tweets
8.0%
Mass Following (>2K)
0.0%
New (<90 days)
62.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.3%
No URL
14.9%
<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.
19,963,789
Total Potential Reach
25
Median Follower Reach
97
75th Percentile Reach
2.3%
>1K followers
0.3%
>10K followers
0.1%
>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).
57.5%
Creators
28,752 accounts
20.0%
Consumers
9,987 accounts
22.5%
Dormant
11,261 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):
75
Verified Followers
0.07% of total
14,679
Protected Accounts
14.68% 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 |
|---|---|---|---|
| @Miguel_layun | 3,244,490 | Futbolista | Futbol, Gaming, Marketing |
| @GarciaPosti | 2,894,108 | Public Relations | Sateluco, Conferencias, PR |
| @PumasMX | 2,415,852 | Sports Team | Soccer, Mexico, University |
| @SinghLions | 1,334,500 | Restaurateur | Food, Travel, Influencer |
| @Bryan_SKabeche | 1,118,900 | Content Creator | Koalas, Tacos, Happiness |
| @LuisOmarTapia | 894,133 | Sports commentator | Soccer, Champions League, Commentator |
| @Rpizarrot | 539,216 | Marketing | Marketing, Soccer, Travel |
| @eltataazul | 495,167 | Comedian | Cruz Azul, social media, football |
| @followersyacom | 494,658 | Social Media Manager | Social Media, Marketing, Descuento |
| @Hectorlealvlogs | 368,604 | YouTuber | Music, YouTube, Comedy |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
53,855
Followers With Bio
46,145
Followers Without Bio
53.85%
% With Bio
46.15%
% 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 3,241 analyzed566,010
Combined Engagement
8,203
Total Likes
557,807
Total Retweets
113,202
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
40%
With Links
Topical Analysis:
RT @Twitter: hello literally everyone
💔 https://t.co/MF0l3aO6X9 https://t.co/XffNe8LSb0
RT @SChecoPerez: No imagino lo que será el autódromo hoy, solo les aseguro que dejare todo de mí 💪 #MexicoGP #Vamooos https://t.co/nTunswKq…
RT @SChecoPerez: Great day for the whole team! We suffered with a bad start, but we managed to recover for a great team result! Now up to N…
Ya en serio... NO, no vamos a poner los jerseys del Barça con 80% de descuento... Ya no pregunten eso 😅 ¡Les deseamos un excelente fin de semana a todos!
Key Insights & Takeaways
The account frequently uses emojis and hashtags to make content more engaging and relatable. It often shares motivational quotes and messages that resonate with its audience. The content is a mix of personal expression, sports promotion, and lifestyle inspiration.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 265,602
- + 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 @innovasport reveals an well-established Twitter presence with 265,602 followers. The account demonstrates a conversation-first approach, averaging 190.6 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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