Doigby
Ma vie est un jeu, donc je joue ma vie ! 🐺
1,341,463
Followers
430
Following
11,725
Tweets
1,556.7
Avg Engagement
420
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Doigby'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:2011-11-15
- Verification:No
- Location:France
Data Summary
- Tweets Analyzed:3,245
- Avg Likes per Tweet:1,118.0
- Avg Retweets per Tweet:438.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,245 tweetsTheir tweets consistently receive a high number of likes and retweets, showing strong audience interaction.
1,118.0
Avg Likes/Tweet
438.7
Avg Retweets/Tweet
3,628,029
Total Likes
1,423,587
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
429
Median Likes
16
Median Retweets
1,389
75th Percentile
310,340
Top Tweet
1.16
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
58.9%
Original
24.5%
Replies
9.8%
Retweets
6.8%
Quotes
0.0%
Threads
1.3%
With Media
56.1%
With Links
30.5%
With #Tags
55.1%
With @Mentions
77.6%
With Emojis
130
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.42
Reply/Original Ratio
0.69
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.5%
Weekday Posts
25.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,245 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 319 retweets (10% 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 3,245 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 followersTheir audience appears to be interested in events, personal reflections, and emotional expressions.
Below Average
Audience Quality
40.8%
Suspicion Index
61.9%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
70.6%
Empty Bio
67.7%
<10 Tweets
0.7%
Mass Following (>2K)
0.0%
New (<90 days)
79.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.3%
No URL
53.2%
<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.
3,812,962
Total Potential Reach
2
Median Follower Reach
5
75th Percentile Reach
0.4%
>1K followers
0.1%
>10K followers
0.0%
>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).
15.2%
Creators
7,582 accounts
17.1%
Consumers
8,558 accounts
67.7%
Dormant
33,860 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):
101
Verified Followers
0.1% of total
6,146
Protected Accounts
6.09% 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 |
|---|---|---|---|
| @DebbouzeJamel | 7,315,182 | Comedian | Comedy, Acting, Charity |
| @Lincamion | 464,928 | - | - |
| @Grimkujow_ | 437,671 | Fishing influencer | Fishing, Lost access, Communication |
| @TopDesHagras | 357,962 | Influencer | Screenshots, DM, Top Hagras |
| @Snaptrox | 249,247 | Influencer | YouTube, President, World |
| @KOMINERT | 223,294 | Talent Agent | Music Promotion, Talent Agents, RnB/Soul |
| @crypto_futur | 213,392 | Content Creator | Bitcoin, Content Creation, Investing |
| @cpastibo | 192,436 | Comedian | Rain, GOAT, chèvres |
| @NotaBeneMovies | 190,048 | Youtuber | Histoire, Headbang, Barbe |
| @Morgan_Chapa | 145,094 | MMA Fighter | MMA, Fitness, Cagewarriors |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
30,282
Followers With Bio
70,717
Followers Without Bio
29.98%
% With Bio
70.02%
% 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 3,245 analyzed653,010
Combined Engagement
96,724
Total Likes
556,286
Total Retweets
130,602
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
RT @GameOfThrones: The trailer is here. #GameofThrones https://t.co/L48jOwsUzn
RT @PSG_inside: A new 💎 in Paris ! PSGxMESSI ❤️💙 https://t.co/2JpYSRtpCy
RT @EmmanuelMacron: 55 gameurs français viennent de lever le temps d’un week-end plus de 3 millions d’euros au profit de l’institut Pasteur…
Juste incroyable 😍 https://t.co/FTeujISqTU
J’ai pas les mots, je veux juste garder un maximum de souvenirs de cet incroyable #ZEVENT2021 💚 10 millions de fois merci 🙏🏽 https://t.co/0UhPf1AbvU
Key Insights & Takeaways
Their content often revolves around personal experiences and emotional moments. They frequently participate in and promote events like ZEVENT2021. Their tweets are highly engaging, with a significant number of likes and retweets.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,341,463
- + 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 @Doigby reveals an exceptionally influential Twitter presence with 1,341,463 followers. The account demonstrates a content-creator strategy, averaging 1,556.7 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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