Power Lunch
Power Lunch is LIVE Monday-Friday from 2-3pm ET on CNBC
60,382
Followers
234
Following
18,395
Tweets
31.2
Avg Engagement
1,069
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @PowerLunch'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:2009-03-19
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:3,230
- Avg Likes per Tweet:21.4
- Avg Retweets per Tweet:9.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,230 tweetsThe account maintains a consistent level of engagement with its followers, as seen through the average likes and retweets. The content often sparks discussions around major market movements and technological partnerships.
21.4
Avg Likes/Tweet
9.8
Avg Retweets/Tweet
69,155
Total Likes
31,722
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
9
Median Likes
4
Median Retweets
23
75th Percentile
6,728
Top Tweet
0.52
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
85.9%
Original
1.8%
Replies
11.6%
Retweets
0.7%
Quotes
0.0%
Threads
0.1%
With Media
93.1%
With Links
21.6%
With #Tags
84.4%
With @Mentions
0.8%
With Emojis
199
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.02
Reply/Original Ratio
0.06
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
99.7%
Weekday Posts
0.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,230 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 375 retweets (12% 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 3,230 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 followersThe audience is likely interested in finance, cryptocurrency, and business news, with a focus on investors and professionals. They are engaged with content that highlights market trends and company strategies.
Average
Audience Quality
29.1%
Suspicion Index
35.9%
Low-Quality %
35
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49.9%
Empty Bio
30.8%
<10 Tweets
16.2%
Mass Following (>2K)
0.0%
New (<90 days)
59.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.9%
No URL
21.9%
<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.
17,386,795
Total Potential Reach
35
Median Follower Reach
142
75th Percentile Reach
5.5%
>1K followers
1.1%
>10K followers
0.4%
>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).
48.1%
Creators
4,815 accounts
21.0%
Consumers
2,104 accounts
30.8%
Dormant
3,081 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):
302
Verified Followers
3.02% of total
1,226
Protected Accounts
12.26% of total
6 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 |
|---|---|---|---|
| @pulte | 3,248,049 | Philanthropist | Giving Money, Food, Rent |
| @MsCharlotteWWE | 2,339,800 | Wrestler | WWE, Legacy, Champion |
| @genesimmons | 1,035,249 | Musician | Music, Rock, Entrepreneur |
| @TheStreet | 849,230 | Finance | business news, investing ideas, stock analysis |
| @Reggie | 639,450 | Retired Executive | Video games, education, leadership |
| @bgurley | 623,683 | Venture Capitalist | Venture Capital, Investing, Technology |
| @IamMzilikazi | 553,931 | Musician | Pan-African music, Album, Rise |
| @TheBullduck | 395,911 | Crypto Influencer | Crypto, Quantitative Analysis, Content Creation |
| @StephenCaggiano | 341,985 | Content Creator | Content creation, Access, Resource for creators |
| @USASwimming | 296,790 | Swimming | Swimming, Competitions, Events |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,010
Followers With Bio
4,990
Followers Without Bio
50.1%
% With Bio
49.9%
% 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 3,230 analyzed19,818
Combined Engagement
15,796
Total Likes
4,022
Total Retweets
3,964
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
Tesla bets big on #bitcoin, buying $1.5B worth of the #crypto. @MicroStrategy CEO @michael_saylor on sharing his bitcoin playbook and how many companies could follow @elonmusk's lead. $TSLA $MSTR https://t.co/QoRn3AFIoK
#Bitcoin down 20% from the highs and @MicroStrategy CEO @michael_saylor is buying the dip. He says the cryptocurrency could replace gold, bonds, the S&P 500 and even the Dow as the primary monetary index $MSTR $SPY https://t.co/tAKhis4blX
Crypto wallet company Strike partnering with @Twitter today, allowing users to send tips in #bitcoin to other Twitter users. Strike CEO @jackmallers on what this means for #crypto adoption. $BTC $TWTR https://t.co/YfoOMPxRtD
"The Federal Reserve, man, what are we going to do about that...Bitcoin is the only asset that guarantees you a future, an issuance rate, a monetary policy. The Fed's still going to be the Fed." @jackmallers explains his #Bitcoin thesis as @Strike announces an $80m Series B $BTC
Strike CEO @jackmallers explains why the company is expanding into Argentina today and how #Bitcoin is the future of currency regardless of volatility or "noise" in the crypto space $BTC https://t.co/6jE0xnXJZt
Key Insights & Takeaways
The account frequently highlights major cryptocurrency developments and market trends. It emphasizes partnerships and innovations in the crypto space, such as the collaboration with Twitter. It often features insights from industry leaders like Michael Saylor, providing expert opinions on market shifts.
Strengths
- + Established follower base of 60,382
- + 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 @PowerLunch reveals an growing Twitter presence with 60,382 followers. The account demonstrates a content-creator strategy, averaging 31.2 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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