Katie Raml
On a journey for #joy. Focused on fam & friends. #Mom 2 Mila + Isella + Tavo. #Anchor. #Journalist. #ABC15 #Phoenix. #Travel #Hiking #RealEstate #Lattes
49,771
Followers
36,246
Following
13,009
Tweets
689.8
Avg Engagement
595
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @katieraml'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:2009-01-26
- Verification:No
- Location:Arizona
Data Summary
- Tweets Analyzed:3,203
- Avg Likes per Tweet:9.3
- Avg Retweets per Tweet:680.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,203 tweetsHer tweets receive moderate engagement, with an average of 415 likes and 41 retweets. The content often includes personal highlights and community-focused messages that resonate with her audience.
9.3
Avg Likes/Tweet
680.5
Avg Retweets/Tweet
29,896
Total Likes
2,179,552
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
1
Median Retweets
27
75th Percentile
331,367
Top Tweet
13.86
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
57.9%
Original
9.4%
Replies
28.0%
Retweets
4.7%
Quotes
0.0%
Threads
1.6%
With Media
68.9%
With Links
26.5%
With #Tags
45.1%
With @Mentions
34.8%
With Emojis
138
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.16
Reply/Original Ratio
0.17
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
82.5%
Weekday Posts
17.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,203 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 898 retweets (28% 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 3,203 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 followersHer followers are likely interested in local news, lifestyle, and entertainment. They appreciate her authenticity and the mix of professional and personal content.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
19
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
82.4%
No URL
100.0%
<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.
53,046,500
Total Potential Reach
19
Median Follower Reach
122
75th Percentile Reach
8.6%
>1K followers
2.6%
>10K followers
1.2%
>50K followers
0.7%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
623
Protected Accounts
6.23% 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 |
|---|---|---|---|
| @shanedawson | 8,099,125 | YouTuber | Merchandise, YouTube, Comedy |
| @ferhatgocer | 2,153,484 | Singer | Music, Medicine, Philanthropy |
| @ha2936 | 1,910,762 | Influencer | Love, People, Hate |
| @KameronBennett | 1,805,114 | DJ | Music, DJing, Booking |
| @SinghLions | 1,325,595 | Restaurateur | Food, Travel, Influencer |
| @RexChapman | 1,248,145 | Commentator | Basketball, Horse racing, Commentary |
| @JDaIey | 1,243,752 | - | - |
| @MehmetBerkErgin | 1,177,715 | Toplumsal Hizmet Uzmanı | Toplumsal hizmet, sivil toplum, sosyal projeler |
| @UfukDemiray | 1,152,589 | Banker | Finans, Katılım Bankacılığı |
| @saidercan | 1,030,555 | Philosopher | Teknoloji, Felsefe, Dijitalizm |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,867
Followers With Bio
4,133
Followers Without Bio
58.67%
% With Bio
41.33%
% 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 3,203 analyzed847,765
Combined Engagement
0
Total Likes
847,765
Total Retweets
169,553
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @realDonaldTrump: Tonight, @FLOTUS and I tested positive for COVID-19. We will begin our quarantine and recovery process immediately. We will get through this TOGETHER!
RT @VP: Ready to serve.
RT @JoeBiden: I have the great honor to announce that I’ve picked @KamalaHarris — a fearless fighter for the little guy, and one of the country’s finest public servants — as my running mate.
RT @realDonaldTrump: https://t.co/csX07ZVWGe
RT @realDonaldTrump: https://t.co/B4H105KVSs
Key Insights & Takeaways
She balances professional and personal content effectively, which helps maintain audience interest. Her use of hashtags and trends increases visibility and engagement. She emphasizes community and inclusivity, which aligns with her audience's values.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 49,771
- + 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 @katieraml reveals an well-established Twitter presence with 49,771 followers. The account demonstrates a content-creator strategy, averaging 689.8 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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