Coca-Cola
Real Magic is only a sip away.
3.354.861
Followers
56.095
Following
290.415
Tweets
23,5
Avg Engagement
12.200
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CocaCola'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: Mega Influencer (1M+)
- Account Age:2009-03-26
- Verification:Yes
- Location:Atlanta, GA
Data Summary
- Tweets Analyzed:3.250
- Avg Likes per Tweet:21,4
- Avg Retweets per Tweet:2,1
- Followers Analyzed:50.000
- Following Analyzed:10.000
Engagement Analysis
Based on 3.250 tweetsThe account consistently achieves high engagement rates, indicating a strong connection with its audience. It uses trending hashtags and links to drive traffic and interaction.
21,4
Avg Likes/Tweet
2,1
Avg Retweets/Tweet
69.497
Total Likes
6.763
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
1
75th Percentile
32.944
Top Tweet
0,01
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
3,4%
Original
96,3%
Replies
0,0%
Retweets
0,2%
Quotes
0,0%
Threads
0,3%
With Media
30,7%
With Links
14,3%
With #Tags
96,7%
With @Mentions
23,3%
With Emojis
145
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
28,21
Reply/Original Ratio
7,0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
88,1%
Weekday Posts
11,9%
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.
The 1 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 is primarily interested in pop culture, music collaborations, and limited-time product releases. They are likely younger demographics who engage with viral content and brand partnerships.
Below Average
Audience Quality
35,8%
Suspicion Index
49,5%
Low-Quality %
5
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
57,3%
Empty Bio
54,0%
<10 Tweets
5,2%
Mass Following (>2K)
0,0%
New (<90 days)
73,8%
Low Ratio (<0.1)
0,0%
New (<180 days)
90,6%
No URL
41,7%
<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.
48.291.887
Total Potential Reach
5
Median Follower Reach
32
75th Percentile Reach
2,1%
>1K followers
0,3%
>10K followers
0,1%
>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).
26,1%
Creators
13.073 accounts
19,9%
Consumers
9.937 accounts
54,0%
Dormant
26.990 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):
668
Verified Followers
0.66% of total
7.536
Protected Accounts
7.46% of total
2 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 |
|---|---|---|---|
| @PlayStation | 30.010.633 | Gaming | Gaming, PS5, PS4 |
| @juventusfc | 10.066.616 | Football Club | Football, Sports, International |
| @cryptocom | 2.654.179 | Cryptocurrency Trader | Cryptocurrency, Trading, DeFi |
| @Castro1021 | 1.510.242 | Gamer | Gaming, Champion, Business |
| @NYXCosmetics | 1.241.966 | Makeup Artist | Makeup, Artistry, Cruelty-free |
| @Oreo | 1.043.955 | Brand Marketing | Cookie, Playful, Moments |
| @UMonline | 814.708 | News Outlet | News, Malaysia, Updates |
| @DanceMomHolly | 552.647 | Educator | Dance, Education, Motherhood |
| @WynnLasVegas | 550.015 | Hospitality | luxury, award-winning, entertainment |
| @SlimJim | 491.014 | Snack Influencer | meat, long boi, champions |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
46.944
Followers With Bio
54.054
Followers Without Bio
46.48%
% With Bio
53.52%
% 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 analyzed37.414
Combined Engagement
35.963
Total Likes
1.451
Total Retweets
7.483
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
@McDonalds OOOooOOOOoooOooooOOoooooooOooOoooo
The beat is about to drop. #CocaColaCreations featuring @marshmellomusic releasing soon. #CocaColaXMarshmello https://t.co/8zUDF3MC9b
Take the superhighway to Pixel Point. Portal now open, use code to access. #CocaColaCreations #CocaColaByte https://t.co/ERynmS467L
🚨 The secret is out 🚨 #CocaColaCreations hit featuring @Marshmello will be electrifying your tastebuds soon. 👅⚡️#CocaColaXMarshmello https://t.co/jTauMvRoy5
One small sip for man, one giant leap for fankind… ✨ https://t.co/f9YzxmRKfb
Network & Following Analysis
Based on 10.000 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
1,6%
Verified Accounts
2,4%
High Authority (>50K)
100,0%
Dormant Accounts
22,0%
Low Quality
746
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
92,0%
Individuals
9.195 accounts
5,7%
Brands/Orgs
567 accounts
2,4%
Media/News
238 accounts
Most Influential Accounts They Follow
| Account | Followers | Profession | Interests |
|---|---|---|---|
| @justinbieber Justin Bieber | 111.757.958 | Singer | Music, Justice, Album |
| @rihanna Rihanna | 108.291.891 | Singer | music, fashion, beauty |
| @taylorswift13 Taylor Swift | 94.249.719 | Singer | Music, Happiness, Emotions |
| @EllenDeGeneres Ellen DeGeneres | 75.184.004 | - | - |
| @britneyspears Britney Spears 🌹🚀 | 55.152.643 | Singer | Music, Dance, Fashion |
| @andresiniesta8 Andrés Iniesta | 25.378.740 | Footballer | Football, Vissel Kobe, Fuentealbilla |
| @netflix Netflix | 22.089.356 | Entertainment | Cardi B, Netflix, Petition |
| @davidguetta David Guetta | 19.704.463 | DJ | Music, Collaboration, Release |
| @MTV MTV | 17.494.560 | Entertainment | Music, Entertainment, Awards |
| @UN United Nations | 16.334.069 | Diplomat | peace, dignity, equality |
Key Insights & Takeaways
The account frequently collaborates with influencers and artists to create buzz around new products. It uses limited-time offers and exclusive codes to encourage immediate action. The content is highly visual and aligns with current trends to maximize reach and engagement.
Strengths
- + Established follower base of 3.354.861
- + 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 @CocaCola reveals an growing Twitter presence with 3.354.861 followers. The account demonstrates a conversation-first approach, averaging 23,5 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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