indiana
Indiana.....not Jones. All Socials: @ indiana Mail to: 3940 Laurel Canyon Blvd #633, Studio City, CA. 91604
400,065
Followers
940
Following
13,634
Tweets
593.3
Avg Engagement
131
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @indiana'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:2015-06-02
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,227
- Avg Likes per Tweet:575.7
- Avg Retweets per Tweet:17.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,227 tweetsIndiana's tweets receive a high number of likes and retweets, indicating strong audience interaction. Their content is both entertaining and emotionally resonant with followers.
575.7
Avg Likes/Tweet
17.7
Avg Retweets/Tweet
1,857,756
Total Likes
56,961
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
9
Median Likes
1
Median Retweets
666
75th Percentile
24,763
Top Tweet
1.48
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
21.6%
Original
70.0%
Replies
2.6%
Retweets
5.8%
Quotes
0.0%
Threads
0.5%
With Media
16.1%
With Links
3.2%
With #Tags
78.2%
With @Mentions
58.1%
With Emojis
58
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.24
Reply/Original Ratio
2.21
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.2%
Weekday Posts
28.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,227 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 85 retweets (3% 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 3,227 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 followersIndiana's audience appears to be young adults and teenagers who enjoy humor, pop culture, and relatable content. They are likely interested in social media trends and celebrity culture.
Below Average
Audience Quality
38.6%
Suspicion Index
48.1%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.4%
Empty Bio
66.9%
<10 Tweets
2.7%
Mass Following (>2K)
0.0%
New (<90 days)
83.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.7%
No URL
51.8%
<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.
26,089,774
Total Potential Reach
2
Median Follower Reach
8
75th Percentile Reach
0.8%
>1K followers
0.1%
>10K followers
0.1%
>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).
15.5%
Creators
7,740 accounts
17.6%
Consumers
8,807 accounts
66.9%
Dormant
33,453 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):
100
Verified Followers
0.1% of total
8,634
Protected Accounts
8.63% of total
3 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 |
|---|---|---|---|
| @JohnCena | 14,104,486 | Wrestler | Wrestling, Motivation, Self-promotion |
| @jamescharles | 7,088,668 | Makeup Artist | Makeup, Beauty, Art |
| @NowHipHopNews_ | 1,061,273 | - | - |
| @MilesSTEREOS | 861,471 | Musician | Guitarist, Writer, Producer |
| @NOH8Campaign | 801,658 | Activism | equality, bullying, discrimination |
| @CAA_Official | 742,301 | Musician | Industrial, Goth, ElectroPunk |
| @SleepSkee | 711,144 | Musician | Music, Independent, Artist |
| @EmblemThree | 675,390 | Musician | Music, Band, Business |
| @unkonfined | 658,483 | Influencer | - |
| @aliciagrimes71 | 500,034 | Influencer | Youtube influencers, Music, Magazine |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57,272
Followers With Bio
42,728
Followers Without Bio
57.27%
% With Bio
42.73%
% 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 3,227 analyzed81,980
Combined Engagement
78,998
Total Likes
2,982
Total Retweets
16,396
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
0%
With Links
Topical Analysis:
I miss ur vlogs @DavidDobrik
If @dixiedamelio dyed her hair blonde she would save 2020. She would KILL IT.
Look I understand there’s a lot of tea rn but can we just mourn my loss for a second... i just snapped my acrylic nail off... help.
I want to be the reason you look down at your phone and smile.
Friends don’t look at friends that way.
Key Insights & Takeaways
Indiana often engages with other creators, showing a collaborative and community-focused approach. They use humor and personal anecdotes to connect with their audience. Their content frequently touches on pop culture and current events, which helps maintain relevance.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 400,065
- + 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 @indiana reveals an well-established Twitter presence with 400,065 followers. The account demonstrates a conversation-first approach, averaging 593.3 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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