DeJa 🍞
Turning the World Yellow 🌕🍞
832,909
Followers
749
Following
63,603
Tweets
546.8
Avg Engagement
798
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DeJLoaf'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:2010-03-23
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:595
- Avg Likes per Tweet:398.4
- Avg Retweets per Tweet:148.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 595 tweetsTheir tweets typically receive a high number of likes and retweets, indicating strong audience interaction and approval.
398.4
Avg Likes/Tweet
148.4
Avg Retweets/Tweet
237,052
Total Likes
88,294
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
233
Median Likes
63
Median Retweets
856
75th Percentile
4,164
Top Tweet
0.66
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
56.0%
Original
15.5%
Replies
19.2%
Retweets
9.4%
Quotes
0.0%
Threads
0.5%
With Media
16.6%
With Links
0.7%
With #Tags
35.5%
With @Mentions
37.0%
With Emojis
48
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.28
Reply/Original Ratio
0.49
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
66.4%
Weekday Posts
33.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 595 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 114 retweets (19% 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 595 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 followers seem to appreciate personal and uplifting content, with a strong interest in positivity and self-belief.
Average
Audience Quality
23.9%
Suspicion Index
28.5%
Low-Quality %
26
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.4%
Empty Bio
28.9%
<10 Tweets
9.0%
Mass Following (>2K)
0.0%
New (<90 days)
52.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.7%
No URL
19.6%
<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.
29,776,551
Total Potential Reach
26
Median Follower Reach
153
75th Percentile Reach
6.1%
>1K followers
0.6%
>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).
49.6%
Creators
24,781 accounts
21.5%
Consumers
10,747 accounts
28.9%
Dormant
14,472 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):
589
Verified Followers
0.59% of total
14,300
Protected Accounts
14.3% of total
4 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 |
|---|---|---|---|
| @Nlechoppa1 | 1,974,331 | - | - |
| @JoeBudden | 954,082 | Podcaster | Podcasting, Creator Equity, Fearless |
| @BellaShmurda | 934,562 | Musician | Music, Entertainment, Email Marketing |
| @ZachBoychuk | 830,539 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @NOH8Campaign | 802,055 | Activism | equality, bullying, discrimination |
| @RaeSremmurd | 769,909 | Musician | Music, Entertainment, Lifestyle |
| @solalexasch | 678,134 | Musician | Music, Travel, Tattoos |
| @advocatemahere | 653,464 | Lawyer | Constitutional Law, African Development, MDC Alliance |
| @itskerrii | 497,385 | - | - |
| @babydoll_forbes | 442,258 | Influencer | Fashion, Beauty, Lifestyle |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
65,206
Followers With Bio
34,794
Followers Without Bio
65.21%
% With Bio
34.79%
% 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 595 analyzed16,487
Combined Engagement
12,142
Total Likes
4,345
Total Retweets
3,297
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
20%
With Links
Topical Analysis:
Keep believing in yourself.
If you love me, You bet not let nobody play wimme 🫶🏾
Shoot your shot @DoeBoyOfficial 🎲🎲 https://t.co/t0ZqDCdIOz
Take care of yourself.
God is soooo good 🖤
Key Insights & Takeaways
They use emojis and playful language to connect with their audience Their content often includes motivational messages and personal affirmations They engage with followers through direct mentions and interactive content
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 832,909
- + 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 @DeJLoaf reveals an well-established Twitter presence with 832,909 followers. The account demonstrates a content-creator strategy, averaging 546.8 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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