Domino's Pizza España
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52,969
Followers
972
Following
29,313
Tweets
13.9
Avg Engagement
162
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DominosPizza_ES'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:2010-10-05
- Verification:Yes
- Location:España
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:12.7
- Avg Retweets per Tweet:1.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,247 tweetsThe account has a high average engagement rate with likes and retweets, indicating a responsive and active audience. The use of links and calls to action helps drive interaction.
12.7
Avg Likes/Tweet
1.1
Avg Retweets/Tweet
41,329
Total Likes
3,661
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
2
75th Percentile
7,329
Top Tweet
0.26
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
11.2%
Original
85.9%
Replies
0.5%
Retweets
2.4%
Quotes
0.0%
Threads
0.0%
With Media
32.7%
With Links
1.7%
With #Tags
88.0%
With @Mentions
42.3%
With Emojis
94
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
7.64
Reply/Original Ratio
5.27
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
89.8%
Weekday Posts
10.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,247 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 15 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 3,247 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 is primarily interested in pizza and food-related content, with a focus on Spanish-speaking users. They are likely looking for promotions, discounts, and entertainment.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
98
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
79.2%
No URL
100.0%
<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.
7,698,766
Total Potential Reach
98
Median Follower Reach
289
75th Percentile Reach
6.1%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
700
Protected Accounts
7.0% of total
7 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 |
|---|---|---|---|
| @VideojuegosGAME | 671,715 | Videojuegos | Ofertas, novedades, humor |
| @MediaMarkt_es | 526,624 | Retail | Novedades, tecnología, ofertas |
| @DeqiuV | 442,017 | Content Creator | Gaming, Content Creation, Zetagaming |
| @Defreds | 380,830 | Poet | Libros, Colaboraciones, Eventos |
| @MadridismoreaI | 325,665 | Football Fan | Real Madrid, Champions, Ligas |
| @SamsungEspana | 319,972 | Tech Support | technology, support, Spain |
| @bnet98 | 216,702 | Gamer | Gaming, Technology, Esports |
| @Mancuer91 | 172,658 | Content Creator | Gaming, Streaming, Soccer |
| @grefusa | 120,609 | Snack company | snacks, enjoyment, Grefusito |
| @donchalecos | 97,738 | Comedian | humor, flamenco, cocina |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,896
Followers With Bio
3,104
Followers Without Bio
68.96%
% With Bio
31.04%
% 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 3,247 analyzed14,826
Combined Engagement
14,129
Total Likes
697
Total Retweets
2,965
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
Indignado pero no mucho https://t.co/MpEZtBhq1U
Rauw, Rosalía. Decidnos que esta noche se viene cita Domino’s y regalamos 500 pizzas a esta buena gente de Twitter 🍕 https://t.co/mDwUJPYRo5
https://t.co/HdhdjId50i
@coolturabasura Hola! En Domino's siempre os recomendamos consumir con responsabilidad y que pidáis solo lo que podéis comeros. Los servicios de buffet están exentos, pero recogemos tu feedback.
Cero rencor bebé, yo te deseo que te vaya bien con mi supuesto reemplazo https://t.co/hjQoAvNElu
Key Insights & Takeaways
The account uses humor and relatability to connect with followers Promotional content with giveaways increases engagement and visibility Interactive tweets and calls to action encourage user participation
Strengths
- + Established follower base of 52,969
- + 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 @DominosPizza_ES reveals an growing Twitter presence with 52,969 followers. The account demonstrates a conversation-first approach, averaging 13.9 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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