Slayy Point
•YouTube channels- SlayyPop and Slayy Point. We make funny videos on millennial friendly topics! 😁 •By @abhyudayamohan and @gautamikawale
220,718
Followers
153
Following
1,763
Tweets
386.9
Avg Engagement
49
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SlayyPoint'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:2016-03-12
- Verification:No
- Location:India
Data Summary
- Tweets Analyzed:1,703
- Avg Likes per Tweet:269.9
- Avg Retweets per Tweet:117.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,703 tweetsThe account consistently receives high engagement, indicating a strong connection with its followers. The use of humor and trending topics helps drive likes and retweets.
269.9
Avg Likes/Tweet
117.0
Avg Retweets/Tweet
459,628
Total Likes
199,294
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6
Median Likes
1
Median Retweets
118
75th Percentile
110,442
Top Tweet
1.75
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
35.5%
Original
37.5%
Replies
20.0%
Retweets
7.0%
Quotes
0.0%
Threads
0.7%
With Media
45.0%
With Links
13.6%
With #Tags
62.5%
With @Mentions
49.3%
With Emojis
86
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.06
Reply/Original Ratio
0.35
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.9%
Weekday Posts
29.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,703 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 340 retweets (20% 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 1,703 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 followersThe primary audience is millennials who enjoy humor and relatable content. The account's topics are tailored to appeal to this demographic, often referencing popular culture and everyday experiences.
Below Average
Audience Quality
40.0%
Suspicion Index
49.3%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
53.1%
Empty Bio
66.3%
<10 Tweets
0.9%
Mass Following (>2K)
0.0%
New (<90 days)
88.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.4%
No URL
45.5%
<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.
1,386,216
Total Potential Reach
1
Median Follower Reach
3
75th Percentile Reach
0.3%
>1K followers
0.0%
>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).
10.7%
Creators
5,351 accounts
23.0%
Consumers
11,492 accounts
66.3%
Dormant
33,157 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):
35
Verified Followers
0.03% of total
6,874
Protected Accounts
6.81% 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 |
|---|---|---|---|
| @SinghLions | 1,334,107 | Restaurateur | Food, Travel, Influencer |
| @RVCJ_FB | 637,671 | Media | Entertainment, Humor, Viral |
| @conquerer1 | 237,309 | Entertainer | MUSIC, AWARDS, CELEBRITIES |
| @SureshNakhua | 139,032 | Politician | Digital Marketing, Politics, Mumbai |
| @ketan1811 | 112,397 | Gamer | Gaming, Content Creation, 8bit |
| @CryptoVerse_Co | 111,717 | Crypto Influencer | Binance, Crypto, Affiliates |
| @ManojDey23 | 54,630 | - | - |
| @malpani | 53,227 | Doctor | Funding, Frugal Innovation, India |
| @pjexplained | 40,541 | - | - |
| @IMBixu1 | 35,377 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
51,703
Followers With Bio
49,292
Followers Without Bio
51.19%
% With Bio
48.81%
% 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 1,703 analyzed156,189
Combined Engagement
35,060
Total Likes
121,129
Total Retweets
31,238
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
40%
With @Mentions
20%
With Links
Topical Analysis:
RT @amxrino: The UN confirmed that we only have 12 years to fix climate change. Here’s a thread of simple things you can do to help save th…
Finally verified 💀
Ameer hona hai? To nimbu me Kya daloge??? LAUNGGG 😂 https://t.co/738dtx8fXE
IPL 2020 is so relatable. 90% players ki tond dikh rahi hai iss baar 🤪🤰 #IPL2020
RT @shreyastalpade1: Aukaat mein reh @kamaalrkhan chu**#. Kabhi haath lagaa toh itni zor se patkungaa ki tappa khake chatt se lagega. Jai M…
Key Insights & Takeaways
The account uses humor and relatability to connect with its audience Content often references popular culture and current events The creators maintain an active and consistent posting schedule
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 220,718
- + 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 @SlayyPoint reveals an well-established Twitter presence with 220,718 followers. The account demonstrates a conversation-first approach, averaging 386.9 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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