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335,246
Followers
1,357
Following
10,047
Tweets
745.1
Avg Engagement
1,365
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @AshleyPurdy'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:2009-03-27
- Verification:No
- Location:Nashville, TN
Data Summary
- Tweets Analyzed:3,243
- Avg Likes per Tweet:28.8
- Avg Retweets per Tweet:716.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,243 tweetsAshleyPurdy's tweets typically receive an average of 358 likes and 66 retweets, indicating a moderately engaged audience. Their content is well-received and shared within the crypto community.
28.8
Avg Likes/Tweet
716.3
Avg Retweets/Tweet
93,356
Total Likes
2,323,058
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
23
Median Likes
4
Median Retweets
58
75th Percentile
244,096
Top Tweet
2.22
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
36.7%
Original
29.4%
Replies
17.0%
Retweets
16.9%
Quotes
0.0%
Threads
0.5%
With Media
54.6%
With Links
47.9%
With #Tags
65.1%
With @Mentions
76.9%
With Emojis
78
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.8
Reply/Original Ratio
1.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.2%
Weekday Posts
25.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,243 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 551 retweets (17% 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 3,243 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 audience appears to be crypto enthusiasts and followers of internet culture. They are likely interested in memes, humor, and real-time crypto news.
Good
Audience Quality
19.4%
Suspicion Index
26.1%
Low-Quality %
18
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
33.5%
Empty Bio
32.1%
<10 Tweets
3.7%
Mass Following (>2K)
0.0%
New (<90 days)
33.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.8%
No URL
18.7%
<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.
35,302,840
Total Potential Reach
18
Median Follower Reach
67
75th Percentile Reach
2.4%
>1K followers
0.3%
>10K followers
0.1%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
38.4%
Creators
19,179 accounts
29.6%
Consumers
14,785 accounts
32.1%
Dormant
16,036 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):
147
Verified Followers
0.15% of total
6,729
Protected Accounts
6.73% of total
8 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 |
|---|---|---|---|
| @BebeRexha | 2,109,114 | Singer | Music, BETTER MISTAKES, Out Now |
| @6BillionPeople | 2,035,665 | - | - |
| @AndrewYang | 1,699,741 | Entrepreneur | Entrepreneur, UBI, Human-Centered Economy |
| @BurningPounds | 1,395,275 | Fitness Trainer | Fitness, Nutrition, Motivation |
| @sherylunderwood | 1,319,194 | TV Host | Talk show, radio, sorority |
| @BrianDEvans | 1,152,219 | Entrepreneur | NFTs, Crypto, Digital Marketing |
| @nikkibenz | 1,048,312 | Adult Entertainer | AVN Awards, Fleshlight, Penthouse |
| @Titans | 1,034,803 | Sports Team | Football, Community, Titans |
| @simpleplan | 1,025,807 | Band | Music, Band, New Single |
| @TheJaclynTaylor | 1,010,163 | Adult film actress | N/A |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
64,651
Followers With Bio
35,349
Followers Without Bio
64.65%
% With Bio
35.35%
% 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 3,243 analyzed737,371
Combined Engagement
0
Total Likes
737,371
Total Retweets
147,474
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @elonmusk: Comedy is now legal on Twitter
RT @NASA: It's hereβthe deepest, sharpest infrared view of the universe to date: Webb's First Deep Field. Previewed by @POTUS on July 11,β¦
RT @mtaibbi: 1. Thread: THE TWITTER FILES
RT @NASAExoplanets: The misconception that there is no sound in space originates because most space is a ~vacuum, providing no way for sounβ¦
RT @elonmusk: Guest starring β¦ https://t.co/buM3bTOWbX
Key Insights & Takeaways
The user frequently uses humor and pop culture references to engage followers. They often incorporate trending topics and memes into their tweets. Their content is highly visual and relies on emojis and hashtags for reach.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 335,246
- + Strong original content creation
- + 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 @AshleyPurdy reveals an well-established Twitter presence with 335,246 followers. The account demonstrates a content-creator strategy, averaging 745.1 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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