Man Savings
Updates, deals and savings on adidas footwear and casual clothing. *sometimes we use affiliate links and get paid a small commission on some sales.
111,924
Followers
1,576
Following
41,005
Tweets
58.1
Avg Engagement
122
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @man_savings'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: Macro Influencer (100K+)
- Account Age:2009-06-02
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:3,233
- Avg Likes per Tweet:23.0
- Avg Retweets per Tweet:35.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,233 tweetsThe account maintains a high level of engagement with its followers, as evidenced by the average likes and retweets. The use of interactive elements like contests and calls to action likely boosts engagement.
23.0
Avg Likes/Tweet
35.1
Avg Retweets/Tweet
74,282
Total Likes
113,501
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
10
Median Likes
2
Median Retweets
26
75th Percentile
23,699
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
Mixed
Balanced content approach
69.0%
Original
18.2%
Replies
9.8%
Retweets
3.0%
Quotes
0.0%
Threads
0.2%
With Media
85.7%
With Links
1.8%
With #Tags
32.9%
With @Mentions
65.6%
With Emojis
166
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.26
Reply/Original Ratio
0.3
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
76.6%
Weekday Posts
23.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,233 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 317 retweets (10% 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 3,233 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 sports and fashion, particularly adidas products. They are likely looking for deals and promotions on footwear and casual clothing.
Good
Audience Quality
16.7%
Suspicion Index
27.2%
Low-Quality %
105
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.1%
Empty Bio
14.3%
<10 Tweets
10.1%
Mass Following (>2K)
0.0%
New (<90 days)
26.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.4%
No URL
9.2%
<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.
5,449,417
Total Potential Reach
105
Median Follower Reach
294
75th Percentile Reach
5.9%
>1K followers
0.4%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
70.7%
Creators
7,069 accounts
15.0%
Consumers
1,499 accounts
14.3%
Dormant
1,432 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):
33
Verified Followers
0.33% of total
1,232
Protected Accounts
12.32% 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 |
|---|---|---|---|
| @LeBronJames | 1,005,569 | - | - |
| @DaveOCKOP | 390,141 | Football Analyst | Football, Liverpool FC, Instagram |
| @Depheruk | 120,180 | - | - |
| @coffee_anytime | 113,741 | - | - |
| @PadraigBelton | 87,233 | Journalist | Journalism, BBC, eBay |
| @18montrose | 73,775 | Retailer | Fashion, Men, Women |
| @speedomick | 70,950 | Philanthropist | Charity, Giving back, Swimming |
| @george_shepherd | 63,715 | Marketing Consultant | Advertising, Marketing, Brand |
| @pauldixtweets | 60,447 | Behaviour Specialist | Relational Practice, Bulk books, Training |
| @mirandastweets | 48,789 | Social Media Influencer | Giveaways, Cryptocurrency, Crime |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,486
Followers With Bio
4,514
Followers Without Bio
54.86%
% With Bio
45.14%
% 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 full follower list with profile details, bios, locations, and follower counts as CSV.
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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 3,233 analyzed64,276
Combined Engagement
4,622
Total Likes
59,654
Total Retweets
12,855
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @SkySportsDarts: THIS IS INSANE!!! WHAT A LEG OF DARTS!! MICHAEL SMITH HITS A NINE DARTER!! 🤯😲 https://t.co/T6HWmRCQYX
RT @GaryLineker: Well, we found this taped to the back of the set. As sabotage goes it was quite amusing. 😂😂😂 https://t.co/ikUhBJ38Je
RT @FatboySlim: Enough respect #ImWithGary @GaryLineker https://t.co/fvQCLGtbdx
⚡️Adidas Giveaway⚡️ Prizes : 2 x 1st Prize - Pair of the New adidas Handball Spezial To Enter ▪️ Like This Tweet❤️ ▪️ Comment colour choice (Blue or Yellow) 🔵🟡 ▪️ Retweet ♻️ Winners drawn 12.30pm Thurs 6th April Good Luck🤞 https://t.co/wE5AOlRqat
RT @OhHeyJacob: What a fucking life led. Truly. Back when the Met stormed into the RVT for it being a gay bar, all wearing rubber gloves to “protect” themselves during the HIV crisis, Paul O’Grady was on stage as Lily and immediately quipped “Looks like we have help with the wash
Key Insights & Takeaways
The account frequently runs giveaways and promotions to boost engagement and follower interaction. Affiliate marketing is a key revenue stream, which influences the type of content shared. Contests and user participation (like, retweet, comment) are central to driving engagement.
Strengths
- + Established follower base of 111,924
- + 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 @man_savings reveals an growing Twitter presence with 111,924 followers. The account demonstrates a content-creator strategy, averaging 58.1 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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