Sandi Krakowski
Investor. Built companies for 30 years. Jesus lover. Mentor. Author. Mama. Mimi.
251,561
Followers
233,822
Following
117,158
Tweets
1,768.7
Avg Engagement
4,946
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @sandikrakowski'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:2007-12-31
- Verification:No
- Location:Austin, TX
Data Summary
- Tweets Analyzed:3,065
- Avg Likes per Tweet:15.0
- Avg Retweets per Tweet:1,753.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,065 tweetsHis tweets receive moderate engagement, with an average of 318 likes and 50 retweets. The content often sparks debate, especially on political and fashion-related issues.
15.0
Avg Likes/Tweet
1,753.8
Avg Retweets/Tweet
45,871
Total Likes
5,375,257
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
1
Median Retweets
85
75th Percentile
153,987
Top Tweet
7.03
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
33.7%
Original
37.8%
Replies
25.2%
Retweets
3.3%
Quotes
0.0%
Threads
0.3%
With Media
28.9%
With Links
4.7%
With #Tags
66.1%
With @Mentions
28.7%
With Emojis
119
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.12
Reply/Original Ratio
0.13
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
82.6%
Weekday Posts
17.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,065 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 773 retweets (25% 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 3,065 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 followersHis followers include investors, entrepreneurs, and fashion enthusiasts. The audience is likely interested in business, politics, and lifestyle topics.
Good
Audience Quality
19.0%
Suspicion Index
18.0%
Low-Quality %
285
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
24.8%
Empty Bio
17.7%
<10 Tweets
32.2%
Mass Following (>2K)
0.0%
New (<90 days)
18.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
53.7%
No URL
11.1%
<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.
260,686,777
Total Potential Reach
285
Median Follower Reach
1,170
75th Percentile Reach
27.7%
>1K followers
6.0%
>10K followers
1.5%
>50K followers
0.7%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
65.2%
Creators
32,594 accounts
17.1%
Consumers
8,554 accounts
17.7%
Dormant
8,852 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):
1,183
Verified Followers
1.17% of total
6,516
Protected Accounts
6.45% 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 |
|---|---|---|---|
| @justinbieber | 113,037,963 | Singer | Music, Justice, Album |
| @JohnCena | 14,101,175 | Wrestler | Wrestling, Motivation, Self-promotion |
| @LoganPaul | 6,808,454 | Influencer | Vlogging, Comedy, Fitness |
| @PDChina | 6,701,885 | News Outlet | News, China, Politics |
| @NBCTheVoice | 4,948,896 | Singing | Music, Singing, Competition |
| @BethanyMota | 4,646,605 | Influencer | Fashion, Beauty, Lifestyle |
| @Naija_PR | 3,889,488 | News Aggregator | - |
| @rclbeauty101 | 3,250,193 | YouTuber | beauty, youtuber, video |
| @DineshDSouza | 3,209,690 | Author/Filmmaker | author, filmmaker, podcasting |
| @pattiemallette | 3,084,875 | Activist | Love, LoveWins, LoveArmy |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
79,330
Followers With Bio
21,668
Followers Without Bio
78.55%
% With Bio
21.45%
% 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 3,065 analyzed635,127
Combined Engagement
0
Total Likes
635,127
Total Retweets
127,025
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @buitengebieden: The landing.. 😊 https://t.co/JeqTtSnUCF
RT @benshapiro: Facts don't care about your feelings.
RT @mtaibbi: 1. Thread: THE TWITTER FILES
RT @realstewpeters: Ohio: Dead fish and cattle being reported as far as 100 miles away from the site. Journalists covering the story have…
RT @Project_Veritas: BREAKING: @Pfizer Exploring "Mutating" COVID-19 Virus For New Vaccines "Don't tell anyone this...There is a risk...ha…
Key Insights & Takeaways
He frequently uses his platform to voice strong political opinions, such as advocating for tax reform. He shares personal anecdotes, like destroying his Gucci collection, to engage his audience. He often criticizes media and public figures, indicating a confrontational tone in his communication style.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 251,561
- + 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 @sandikrakowski reveals an exceptionally influential Twitter presence with 251,561 followers. The account demonstrates a conversation-first approach, averaging 1,768.7 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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