Daryl Morey 🗽🏀
Philadelphia 76ers Bball Ops President ▪ Opportunity is not a lengthy visitor ▪ Tips to https://www.fire.org/donate
301,592
Followers
3,323
Following
14,355
Tweets
416.9
Avg Engagement
3,728
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @dmorey'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:2008-09-07
- Verification:No
- Location:Philadelphia, PA
Data Summary
- Tweets Analyzed:3,240
- Avg Likes per Tweet:280.1
- Avg Retweets per Tweet:136.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,240 tweetsTheir tweets receive strong engagement, with an average of 17k likes and 1.4k retweets, indicating a highly interactive and interested audience. The content is well-received and often shared within the basketball community.
280.1
Avg Likes/Tweet
136.9
Avg Retweets/Tweet
907,385
Total Likes
443,411
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
3
Median Retweets
165
75th Percentile
48,317
Top Tweet
1.38
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
10.5%
Original
55.8%
Replies
29.2%
Retweets
4.5%
Quotes
0.0%
Threads
0.1%
With Media
43.1%
With Links
7.4%
With #Tags
92.5%
With @Mentions
10.4%
With Emojis
94
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
5.3
Reply/Original Ratio
0.15
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.7%
Weekday Posts
29.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,240 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 946 retweets (29% 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 3,240 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 followersdmorey's audience is largely composed of basketball fans, particularly those interested in the Philadelphia 76ers and NBA operations. Their content appeals to both casual and dedicated followers of the sport.
Average
Audience Quality
22.0%
Suspicion Index
25.5%
Low-Quality %
57
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.2%
Empty Bio
19.0%
<10 Tweets
14.1%
Mass Following (>2K)
0.0%
New (<90 days)
47.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.3%
No URL
12.7%
<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.
117,203,842
Total Potential Reach
57
Median Follower Reach
249
75th Percentile Reach
9.4%
>1K followers
1.9%
>10K followers
0.5%
>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).
63.6%
Creators
31,805 accounts
17.4%
Consumers
8,709 accounts
19.0%
Dormant
9,486 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):
2,332
Verified Followers
2.31% of total
13,628
Protected Accounts
13.49% 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 |
|---|---|---|---|
| @JohnCena | 14,102,362 | Wrestler | Wrestling, Motivation, Self-promotion |
| @DezBryant | 3,497,967 | Athlete | Athlete, Founder, #ThrowUpTheX |
| @garyvee | 3,168,101 | Entrepreneur | Family, CEO, Investor |
| @jaketapper | 3,164,037 | Journalist | News, Politics, Journalism |
| @MikeTrout | 2,575,635 | Baseball Player | Baseball, Angels, Jess Tara |
| @sixers | 2,313,863 | Sports Team | basketball, Philadelphia, riffin' |
| @JoelEmbiid | 2,147,325 | Athlete | - |
| @JPVarsky | 2,101,941 | - | - |
| @michaelianblack | 1,824,055 | Comedian | Comedy, RVs, Expertise |
| @AndrewYang | 1,699,518 | Entrepreneur | Entrepreneur, UBI, Human-Centered Economy |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
62,627
Followers With Bio
38,371
Followers Without Bio
62.01%
% With Bio
37.99%
% 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 3,240 analyzed144,583
Combined Engagement
108,609
Total Likes
35,974
Total Retweets
28,917
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
40%
With Links
Topical Analysis:
🏆 https://t.co/hRhkJIfWNe
WE WON THIS GAME @TRAILBLAZERS, BY A LOT! https://t.co/EOwNw24bco
RT @wojespn: Derek Chauvin verdict in Minneapolis: Guilty on all three counts in the death of George Floyd.
@alexandravbotez I don't understand, you don't ever seem to be staring at the ceiling?
😤
Key Insights & Takeaways
dmorey's role as a 76ers Bball Ops President is central to their identity and content. Their tweets often reflect a blend of professional analysis and emotional reactions to games. They leverage their platform to connect with fans and share team updates effectively.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 301,592
- + 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 @dmorey reveals an well-established Twitter presence with 301,592 followers. The account demonstrates a conversation-first approach, averaging 416.9 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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