B&M Stores
The Official B&M Twitter. Big BRANDS. BIG SAVINGS. BIG COMPETITIONS. We're here 9-5, Monday-Friday; contact customer care on [email protected]!
237,327
Followers
2,150
Following
25,930
Tweets
258.8
Avg Engagement
291
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @bmstores'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:2010-04-07
- Verification:No
- Location:UK
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:137.5
- Avg Retweets per Tweet:121.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account achieves high engagement with an average of 4,072 likes and 3,852 retweets per tweet. It uses interactive content like polls and giveaways to encourage user participation.
137.5
Avg Likes/Tweet
121.2
Avg Retweets/Tweet
446,949
Total Likes
394,014
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
21
Median Likes
1
Median Retweets
52
75th Percentile
10,863
Top Tweet
1.09
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
56.5%
Original
36.7%
Replies
0.1%
Retweets
6.8%
Quotes
0.0%
Threads
0.6%
With Media
62.9%
With Links
22.0%
With #Tags
41.4%
With @Mentions
45.8%
With Emojis
151
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.65
Reply/Original Ratio
73.33
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
85.1%
Weekday Posts
14.9%
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 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 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 50,000 followersThe audience is primarily interested in discounts, promotions, and competitions, with a focus on UK-based customers. They engage actively by liking and retweeting content, showing interest in brand interactions.
Average
Audience Quality
22.6%
Suspicion Index
28.5%
Low-Quality %
47
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.3%
Empty Bio
21.0%
<10 Tweets
12.9%
Mass Following (>2K)
0.0%
New (<90 days)
46.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.5%
No URL
13.7%
<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.
24,598,188
Total Potential Reach
47
Median Follower Reach
192
75th Percentile Reach
5.3%
>1K followers
0.4%
>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).
58.7%
Creators
29,356 accounts
20.2%
Consumers
10,122 accounts
21.0%
Dormant
10,522 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):
356
Verified Followers
0.35% of total
10,301
Protected Accounts
10.2% 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 |
|---|---|---|---|
| @Mo_Farah | 1,435,263 | Athlete | Running, Athletics, Endurance |
| @SinghLions | 1,334,220 | Restaurateur | Food, Travel, Influencer |
| @LeBronJames | 1,004,753 | - | - |
| @ZachBoychuk | 829,050 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @iownjd | 777,643 | Lawyer | learn, inspire, engage |
| @BootstrapCook | 556,490 | - | - |
| @IamMzilikazi | 547,032 | Musician | Pan-African music, Album, Rise |
| @OccupyDemocrats | 540,014 | Political Activist | Progressive, Grassroots, Politics |
| @THE_THEO_FORD | 469,292 | - | - |
| @zammit_marc | 387,624 | Filmmaker | Film, Acting, Producing |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
58,198
Followers With Bio
42,793
Followers Without Bio
57.63%
% With Bio
42.37%
% 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 analyzed42,052
Combined Engagement
26,113
Total Likes
15,939
Total Retweets
8,410
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
Feeling very Ucey today
🧙 #COMPETITION TIME 🧙 We're giving away a fantastic prize today - FOUR @LEGO #HarryPotter sets for ONE lucky winner! For a chance to #WIN, simply; 1) FOLLOW US 2) RT this post 3) COMMENT #HarryPotterLego! Competition ends 9am 8/11/22 https://t.co/SvNbxMXmlv
🍄 #COMPETITION TIME 🍄 We're celebrating the new #AnimalCrossing update dropping by giving away this amazing #Nintendo #Switch bundle! For a chance to #WIN, simply 1) FOLLOW US 2) RT this 3) COMMENT #BMSwitch! Competition ends 9am 10/11/12 https://t.co/WpVoNWEZEF
@NoContextBrits w
🧙 #COMPETITION TIME 🧙 We're giving away a fantastic prize today - FOUR @LEGO_Group #HarryPotter sets for ONE lucky winner! For a chance to #WIN, simply; 1) FOLLOW US 2) RT this post 3) COMMENT #HarryPotterLego! Competition ends 9am 8/11/22 https://t.co/qYIj7gH2UB
Key Insights & Takeaways
High engagement suggests that interactive and promotional content resonates well with the audience. Competitions and giveaways are effective in driving likes and retweets. Consistent posting and clear calls to action contribute to sustained engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 237,327
- + 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 @bmstores reveals an well-established Twitter presence with 237,327 followers. The account demonstrates a content-creator strategy, averaging 258.8 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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