Tampa International Airport ✈️
Official account of Tampa International Airport, the gateway to the West Coast of Florida
94,870
Followers
1,604
Following
21,342
Tweets
59.1
Avg Engagement
854
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @FlyTPA'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:2011-11-01
- Verification:No
- Location:Tampa, Florida
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:52.8
- Avg Retweets per Tweet:6.2
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,250 tweetsThe account consistently receives a high number of likes and retweets, indicating strong audience interaction. Its mix of informative and entertaining tweets keeps followers engaged.
52.8
Avg Likes/Tweet
6.2
Avg Retweets/Tweet
171,681
Total Likes
20,250
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
0
Median Retweets
62
75th Percentile
3,438
Top Tweet
0.62
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
39.7%
Original
56.8%
Replies
0.4%
Retweets
3.2%
Quotes
0.0%
Threads
1.0%
With Media
47.4%
With Links
2.3%
With #Tags
62.6%
With @Mentions
25.2%
With Emojis
106
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.43
Reply/Original Ratio
8.58
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
90.5%
Weekday Posts
9.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 12 retweets (0% 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 3,250 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 9,998 followersThe primary audience includes travelers, locals, and aviation enthusiasts. The account also interacts with a broader audience through humor and relatable content.
Average
Audience Quality
26.1%
Suspicion Index
37.4%
Low-Quality %
25
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.7%
Empty Bio
34.1%
<10 Tweets
10.1%
Mass Following (>2K)
0.0%
New (<90 days)
46.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.7%
No URL
24.0%
<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.
5,591,572
Total Potential Reach
25
Median Follower Reach
140
75th Percentile Reach
4.3%
>1K followers
0.6%
>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).
45.4%
Creators
4,541 accounts
20.5%
Consumers
2,050 accounts
34.1%
Dormant
3,407 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):
181
Verified Followers
1.81% of total
1,205
Protected Accounts
12.05% of total
5 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 |
|---|---|---|---|
| @ZachBoychuk | 827,723 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @MaggieHeroDog | 408,441 | Service Dog | Golf, Music, Service Dogs |
| @EvanKirstel | 347,284 | Tech Influencer | Tech, B2B, Social media |
| @williamtincup | 250,085 | HR Influencer | HR, Technology, Recruiting |
| @MicheleMahone | 209,211 | Mom | Family, Music, Advocacy |
| @TheLethalJay | 177,924 | Wrestler | Wrestling, All Elite Wrestling, Entertainment |
| @MorelDLeon | 127,356 | - | - |
| @tedfujimoto | 100,645 | Education | Education, Innovation, Leadership |
| @sandy_carter | 90,393 | Agile Leader | AI, cloud, IoT |
| @MarkMwandosya | 86,192 | Politician | Politics, Education, Engineering |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,930
Followers With Bio
5,070
Followers Without Bio
49.3%
% With Bio
50.7%
% 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 3,250 analyzed11,019
Combined Engagement
9,148
Total Likes
1,871
Total Retweets
2,204
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
20%
With Links
Topical Analysis:
Good morning to everyone except the Dallas Cowboys
Goodnight to everyone except the L.A. Rams
Not an Airport update, but pls stop sharing your Wordles
If Elon Musk can buy Twitter in 10 days, you can make it to the Airport 2 hours before your flight.
TPA TO SUSPEND OPERATIONS: In preparation for Hurricane Ian, TPA will suspend all operations on Tuesday, September 27, at 5:00 p.m. The Airport will be closed to all visitors at that time. Read more: https://t.co/RbS1uKuXtf
Key Insights & Takeaways
The account uses humor to connect with followers and create a friendly brand image. It balances official airport information with casual, relatable content. Engagement is driven by both informative updates and lighthearted, shareable posts.
Strengths
- + Established follower base of 94,870
- + 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 @FlyTPA reveals an growing Twitter presence with 94,870 followers. The account demonstrates a conversation-first approach, averaging 59.1 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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