jordan
Probably needs to drink more water today. Editor @thedad | [email protected]
15,904
Followers
1,206
Following
24,986
Tweets
1,080.9
Avg Engagement
438
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @jordan_stratton'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:2009-01-02
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:595
- Avg Likes per Tweet:78.7
- Avg Retweets per Tweet:1,002.2
- Followers Analyzed:16,086
Engagement Analysis
Based on 595 tweetsJordan's tweets receive a steady amount of likes and retweets, indicating a loyal and engaged audience. The average engagement suggests a balance between popularity and niche appeal.
78.7
Avg Likes/Tweet
1,002.2
Avg Retweets/Tweet
46,797
Total Likes
596,321
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
3
Median Retweets
86
75th Percentile
57,461
Top Tweet
67.96
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
30.1%
Original
44.9%
Replies
23.2%
Retweets
1.8%
Quotes
0.0%
Threads
0.3%
With Media
14.8%
With Links
0.7%
With #Tags
67.2%
With @Mentions
5.5%
With Emojis
104
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.49
Reply/Original Ratio
0.08
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
86.1%
Weekday Posts
13.9%
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 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 138 retweets (23% 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 16,086 followersJordan's audience likely includes readers and followers interested in lifestyle, humor, and entertainment content. They may also attract those who enjoy casual, conversational interactions.
Good
Audience Quality
14.2%
Suspicion Index
12.9%
Low-Quality %
263
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
22.5%
Empty Bio
5.8%
<10 Tweets
26.8%
Mass Following (>2K)
0.0%
New (<90 days)
17.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
74.2%
No URL
3.4%
<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.
56,184,764
Total Potential Reach
263
Median Follower Reach
890
75th Percentile Reach
23.4%
>1K followers
5.4%
>10K followers
1.0%
>50K followers
0.4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
84.3%
Creators
13,556 accounts
9.9%
Consumers
1,599 accounts
5.8%
Dormant
931 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):
341
Verified Followers
2.12% of total
2,069
Protected Accounts
12.86% of total
10 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 |
|---|---|---|---|
| @alispagnola | 2,352,801 | Musician | Music, Comedy, Fitness |
| @LILBTHEBASEDGOD | 1,250,148 | Rapper | Music, Writing, Film |
| @sofffiaaa | 1,202,219 | Comedian | Comedy, Writing, Hugs |
| @GratitudeSoup | 1,156,016 | Comedian | comedy, humor, wit |
| @LeBronJames | 1,006,026 | - | - |
| @Charlie_Carver | 817,592 | - | - |
| @ShyBoy | 758,835 | Musician | Music, LGBTQ+, DJ |
| @ErikVoorhees | 659,045 | Entrepreneur | Bitcoin, Peace, Markets |
| @TayeDiggs | 648,404 | Actor | acting, chocolate, hosting |
| @MelissaJoanHart | 631,958 | Actress | Family, Acting, Motherhood |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
12,470
Followers With Bio
3,616
Followers Without Bio
77.52%
% With Bio
22.48%
% 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 595 analyzed191,962
Combined Engagement
0
Total Likes
191,962
Total Retweets
38,392
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @Feebux: breaking news: twitter user has the worst day of his life https://t.co/j08aKYl8GY
RT @callmekitto: being on Twitter right now is like playing the violin on the titanic except we are also making fun of the iceberg and the…
RT @ImagineAGuy: guy who only knew jesus professionally: Honey, did you hear they CRUCIFIED our CARPENTER???
RT @ZackBornstein: pre-elon twitter: pls free me from this hellsite post-elon twitter: Everyday with you all has been a gift. I owe my car…
RT @JoshuaTurek: Writers spend their lives trying to write a scene this perfect https://t.co/2mVwvvnNWt
Key Insights & Takeaways
Jordan often shares personal and relatable moments, which resonate with their audience. They use humor and casual language to connect with followers. Their content reflects a blend of self-awareness and lighthearted storytelling.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 15,904
- + 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 @jordan_stratton reveals an exceptionally influential Twitter presence with 15,904 followers. The account demonstrates a conversation-first approach, averaging 1,080.9 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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