Fitbit UnitedKingdom
Listen to your body, feel your power. Fitbit is now part of the @GoogleUk family.
66,329
Followers
2,162
Following
48,806
Tweets
0.5
Avg Engagement
330
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @FitbitUK'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:2011-10-28
- Verification:Yes
- Location:United Kingdom
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:0.4
- Avg Retweets per Tweet:0.1
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,250 tweetsThe account has low average engagement with likes and retweets, suggesting a more passive audience interaction. The content is primarily inspirational and educational.
0.4
Avg Likes/Tweet
0.1
Avg Retweets/Tweet
1,353
Total Likes
187
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
0
75th Percentile
93
Top Tweet
0.01
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
8.9%
Original
90.9%
Replies
0.1%
Retweets
0.1%
Quotes
0.0%
Threads
3.9%
With Media
74.7%
With Links
1.4%
With #Tags
95.8%
With @Mentions
3.0%
With Emojis
210
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
10.26
Reply/Original Ratio
1.33
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
77.1%
Weekday Posts
22.9%
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 3 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 audience likely includes health-conscious individuals and those interested in fitness and wellness. They may also be interested in motivational messages and cultural celebrations.
Average
Audience Quality
23.0%
Suspicion Index
28.4%
Low-Quality %
51
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.6%
Empty Bio
23.8%
<10 Tweets
14.5%
Mass Following (>2K)
0.0%
New (<90 days)
44.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.2%
No URL
16.2%
<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.
18,883,258
Total Potential Reach
51
Median Follower Reach
211
75th Percentile Reach
5.8%
>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).
58.0%
Creators
5,794 accounts
18.3%
Consumers
1,826 accounts
23.8%
Dormant
2,378 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):
34
Verified Followers
0.34% of total
1,212
Protected Accounts
12.12% 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 | 14,071,218 | Wrestler | Wrestling, Motivation, Self-promotion |
| @AndyBoxall | 283,991 | Tech Writer | Tech, Idol, Cars |
| @ThreeUK | 197,388 | Telecommunications | Mobile, Network, Customer Support |
| @DiabetesUK | 186,328 | Charity | health, charity, support |
| @LiveJasmin | 183,587 | Adult entertainer | desire, passion, romance |
| @JordanFish86 | 159,458 | - | - |
| @MarshallJulius | 108,323 | Critic | Movies, Retro, Collectibles |
| @tunebubble | 64,259 | - | - |
| @steverichards14 | 63,048 | Writer/Broadcaster | Politics, Rock N Roll, Writing |
| @DEFITofficial | 58,820 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,941
Followers With Bio
4,059
Followers Without Bio
59.41%
% With Bio
40.59%
% 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 3,250 analyzed204
Combined Engagement
104
Total Likes
100
Total Retweets
41
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
20%
With Links
Topical Analysis:
RT @FitbitSupport: We're aware of an issue affecting some Fitbit services and are working hard to resolve it. Thank you for your patience!
Happy Diwali and Bandi Chhor Divas to all our Fitbit Friends celebrating today 🪔 https://t.co/WX30Wn9Ieq
Final reminder for the year that you are brilliant and the world is a whole lot cooler with you in it.
When you've been watching Christmas movies all day and get your 4th reminder to move…🏃♂️👀📺🎄
Here's your daily reminder to get in those Active Zone Minutes 🏃
Key Insights & Takeaways
The account uses cultural holidays like Diwali to connect with its audience and foster community. It emphasizes personal growth and self-belief through motivational tweets. It integrates lifestyle and health reminders into daily routines, encouraging physical activity.
Strengths
- + Established follower base of 66,329
- + 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 @FitbitUK reveals an growing Twitter presence with 66,329 followers. The account demonstrates a conversation-first approach, averaging 0.5 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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