David Payne Purdum
I write about gambling for ESPN. I am not good at gambling.
88,234
Followers
2,819
Following
52,526
Tweets
106.5
Avg Engagement
1,805
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DavidPurdum'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: Mid-Tier (10K+)
- Account Age:2009-04-23
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,237
- Avg Likes per Tweet:22.6
- Avg Retweets per Tweet:83.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,237 tweetsHis tweets typically receive a high number of likes and some retweets, indicating a moderately engaged audience.
22.6
Avg Likes/Tweet
83.9
Avg Retweets/Tweet
73,181
Total Likes
271,628
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
0
Median Retweets
24
75th Percentile
128,948
Top Tweet
1.21
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
38.8%
Original
53.1%
Replies
4.9%
Retweets
3.2%
Quotes
0.0%
Threads
0.0%
With Media
22.2%
With Links
1.6%
With #Tags
78.4%
With @Mentions
1.2%
With Emojis
129
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.37
Reply/Original Ratio
0.65
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.4%
Weekday Posts
23.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,237 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 159 retweets (5% 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 3,237 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 10,000 followersHis audience includes sports fans and gambling enthusiasts interested in betting trends and sports analysis.
Good
Audience Quality
19.5%
Suspicion Index
26.5%
Low-Quality %
78
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.5%
Empty Bio
17.7%
<10 Tweets
12.8%
Mass Following (>2K)
0.0%
New (<90 days)
35.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.1%
No URL
11.5%
<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.
27,947,563
Total Potential Reach
78
Median Follower Reach
287
75th Percentile Reach
9.1%
>1K followers
2.0%
>10K followers
0.6%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
64.2%
Creators
6,419 accounts
18.1%
Consumers
1,813 accounts
17.7%
Dormant
1,768 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):
252
Verified Followers
2.52% of total
1,140
Protected Accounts
11.4% of total
7 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 | 14,097,142 | Wrestler | Wrestling, Motivation, Self-promotion |
| @arielhelwani | 1,338,340 | Journalist | MMA, Spotify, BTSport |
| @Stephania_ESPN | 309,275 | Sports Medicine | Sports, Injury analysis, Physical therapy |
| @mcten | 306,260 | Sports Journalist | NBA, Larry David, Game Strategy |
| @PeteThamel | 238,322 | Sports Journalist | College football, basketball, podcast |
| @MeganAnderson | 224,854 | Athlete | Athlete, ESPN UFC Analyst, Australia |
| @JasonSobelTAN | 221,978 | - | - |
| @caplannfl | 194,676 | NFL Insider | NFL, Radio, Insider |
| @Digiday | 190,046 | Media | Digital media, marketing, insights |
| @EricLiptonNYT | 171,257 | Investigative Reporter | Politics, Investigations, Power |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,851
Followers With Bio
4,149
Followers Without Bio
58.51%
% With Bio
41.49%
% 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 3,237 analyzed207,433
Combined Engagement
0
Total Likes
207,433
Total Retweets
41,487
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @TomBrady: These past two months I’ve realized my place is still on the field and not in the stands. That time will come. But it’s not now. I love my teammates, and I love my supportive family. They make it all possible. I’m coming back for my 23rd season in Tampa. Unfinished
RT @CalvinRidley1: I bet 1500 total I don’t have a gambling problem
RT @AdamSchefter: Blockbuster: After weeks of negotiations, in one of the largest trades in NFL history, the Seattle Seahawks and Denver Broncos have agreed to terms for a deal involving Super-Bowl winning QB Russell Wilson, sources tell ESPN. Trade is pending a physical and Wil
RT @AdamSchefter: Deshaun Watson has decided he wants to play for the Cleveland Browns in a stunning change of events, per sources. Watson has informed the Houston Texans that he now is willing to waive the no-trade clause in his contract to be dealt to Cleveland.
RT @AdamSchefter: Colts are trading QB Carson Wentz to Washington for a package of packs that is thought to include two third-round picks, sources tell ESPN. https://t.co/KYb7rj5ozw
Key Insights & Takeaways
He often blends humor with sports betting insights, making complex topics accessible. He highlights specific betting opportunities and outcomes, showing a deep understanding of sports events. He uses social media to engage with his audience and share personal experiences with gambling.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 88,234
- + 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 @DavidPurdum reveals an well-established Twitter presence with 88,234 followers. The account demonstrates a conversation-first approach, averaging 106.5 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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