Space March
Finding new directions for Synthpop.
316,917
Followers
237,994
Following
1,901
Tweets
141.3
Avg Engagement
1,154
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @spacemarch'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:2009-03-06
- Verification:No
- Location:Sydney, Australia
Data Summary
- Tweets Analyzed:1,832
- Avg Likes per Tweet:5.4
- Avg Retweets per Tweet:135.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,832 tweetsAverage likes and retweets suggest a moderate level of interaction, with content that resonates emotionally and intellectually.
5.4
Avg Likes/Tweet
135.9
Avg Retweets/Tweet
9,850
Total Likes
249,043
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
5
75th Percentile
224,037
Top Tweet
0.45
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
18.0%
Original
77.2%
Replies
4.2%
Retweets
0.6%
Quotes
0.0%
Threads
0.4%
With Media
18.7%
With Links
7.7%
With #Tags
83.2%
With @Mentions
0.2%
With Emojis
82
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
4.28
Reply/Original Ratio
0.14
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.7%
Weekday Posts
25.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,832 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 77 retweets (4% 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 1,832 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 are likely fans of Synthpop and retro music, interested in artist stories and industry history.
Good
Audience Quality
18.2%
Suspicion Index
17.3%
Low-Quality %
280
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
26.4%
Empty Bio
14.1%
<10 Tweets
31.7%
Mass Following (>2K)
0.0%
New (<90 days)
18.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
65.7%
No URL
8.1%
<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.
117,827,498
Total Potential Reach
280
Median Follower Reach
727
75th Percentile Reach
17.4%
>1K followers
1.9%
>10K followers
0.6%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
67.3%
Creators
33,663 accounts
18.5%
Consumers
9,268 accounts
14.1%
Dormant
7,069 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):
831
Verified Followers
0.83% of total
7,830
Protected Accounts
7.83% 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 |
|---|---|---|---|
| @JohnCena | 14,103,143 | Wrestler | Wrestling, Motivation, Self-promotion |
| @DONJAZZY | 7,609,275 | Music Producer | Music, Mavin, Activated |
| @HomeAdore | 2,319,439 | Shop | home decor, interior design, architecture |
| @6BillionPeople | 2,035,577 | - | - |
| @KameronBennett | 1,812,649 | DJ | Music, DJing, Booking |
| @JETAR9 | 1,526,087 | Inspirational Speaker | Spirituality, Happiness, Clarity |
| @insomniacgames | 1,370,814 | Game Developer | Video games, Spider-Man, Ratchet & Clank |
| @soledadobrien | 1,318,247 | Journalist | working, mom, journalist |
| @KalaniBallFree | 1,244,464 | Athlete | Email Marketing, Entrepreneurship, Social Media |
| @JDaIey | 1,229,225 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
75,634
Followers With Bio
24,366
Followers Without Bio
75.63%
% With Bio
24.37%
% 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 1,832 analyzed246,229
Combined Engagement
663
Total Likes
245,566
Total Retweets
49,246
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
60%
With @Mentions
40%
With Links
Topical Analysis:
RT @TheRealNimoy: A life is like a garden. Perfect moments can be had, but not preserved, except in memory. LLAP
RT @ProfBrianCox: Sad to hear about Stephen Hawking. What a remarkable life. His contributions to science will be used as long as there are…
RT @ProfBrianCox: As I've said before, you can persuade people to vote for the abolition of gravity, but they will still hit the ground. ht…
Some things never change! This is a rejection letter from Sony Music A&R circa 1991 when I was starting out. #OMD http://t.co/exLdJAxWq3
I was recently in #Tallinn, Estonia and stumbled upon a #DepecheMode themed bar. Yep, they only play DM! #dmbaar http://t.co/KFUWtzoNE4
Key Insights & Takeaways
They use personal anecdotes to connect with fans and share industry history. Their content often blends nostalgia with contemporary themes. They highlight the creative process and its parallels with social media.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 316,917
- + 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 @spacemarch reveals an well-established Twitter presence with 316,917 followers. The account demonstrates a conversation-first approach, averaging 141.3 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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