Avast
Tired of your relationship with the internet? Avast helps you take control of your safety and privacy online.
163,052
Followers
3,322
Following
25,943
Tweets
5.8
Avg Engagement
1,893
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Avast'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:2008-11-20
- Verification:Yes
- Location:Worldwide
Data Summary
- Tweets Analyzed:3,200
- Avg Likes per Tweet:3.9
- Avg Retweets per Tweet:1.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,200 tweetsThe account maintains a steady level of engagement, with an average of 173 likes and 47 retweets per tweet. It occasionally shares links and promotional content, which may influence engagement rates.
3.9
Avg Likes/Tweet
1.9
Avg Retweets/Tweet
12,521
Total Likes
6,141
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
7
75th Percentile
1,019
Top Tweet
0.04
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
33.5%
Original
59.0%
Replies
6.6%
Retweets
0.9%
Quotes
0.0%
Threads
0.6%
With Media
41.2%
With Links
24.0%
With #Tags
73.4%
With @Mentions
24.3%
With Emojis
160
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.76
Reply/Original Ratio
0.14
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
97.2%
Weekday Posts
2.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,200 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 211 retweets (7% 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 3,200 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 likely includes tech-savvy individuals, cybersecurity enthusiasts, and users concerned about online privacy. They are interested in product updates, company news, and industry events.
Average
Audience Quality
24.8%
Suspicion Index
29.7%
Low-Quality %
54
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.7%
Empty Bio
25.3%
<10 Tweets
17.4%
Mass Following (>2K)
0.0%
New (<90 days)
46.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
74.9%
No URL
15.7%
<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.
46,644,868
Total Potential Reach
54
Median Follower Reach
232
75th Percentile Reach
6.9%
>1K followers
1.0%
>10K followers
0.2%
>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).
51.2%
Creators
25,585 accounts
23.6%
Consumers
11,782 accounts
25.3%
Dormant
12,633 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):
336
Verified Followers
0.33% of total
14,098
Protected Accounts
13.96% of total
9 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 |
|---|---|---|---|
| @soledadobrien | 1,317,804 | Journalist | working, mom, journalist |
| @Kasparov63 | 1,030,557 | Chess Player | Chess, Human Rights, Author |
| @LeBronJames | 1,009,761 | - | - |
| @mattswider | 970,596 | Journalist | PS5, Xbox, GPU |
| @TheHackersNews | 891,975 | Cybersecurity | cybersecurity, infosec, hacking |
| @ntvde | 865,441 | News broadcaster | News, Politics, Sports |
| @ProfIsaPantami | 796,254 | - | - |
| @IAMANITABAKER | 749,147 | Singer | Music, Concerts, Retirement |
| @larrykim | 728,699 | Entrepreneur | Startups, AdWords, Chatbots |
| @ARTEM_KLYUSHIN | 719,689 | Politician | Russian politics, diplomacy, international relations |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
50,995
Followers With Bio
50,003
Followers Without Bio
50.49%
% With Bio
49.51%
% 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 3,200 analyzed1,787
Combined Engagement
1,232
Total Likes
555
Total Retweets
357
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
In support of the Ukrainian people, Avast has suspended sales and marketing of our products in Russia and Belarus, and we are offering our premium products for free in Ukraine. Read more about our humanitarian efforts and employee support below. https://t.co/GbbT7UBm47
RT @evacide: Breaking up is hard to do. Digitally disentangling yourself from your former partner is harder. Avast and Refuge have written…
When you realise that @PCMag rated you with 4.5 /5 ⭐️ and you are Editor’s Choice ⭐️ https://t.co/FtKlAZ3Kyc https://t.co/xW3tt9iVA7
World chess champion @Kasparov63 wowed attendees at Coindesk Consensus, competing against multiple opponents in a single match. Going to Collision in Toronto? You could have your chance as well! It will be the best game of chess you ever lose #Consensus2022 #collision2022 https
An important message @Kasparov63 about the dangers of current new propaganda networks. https://t.co/htraY8FCKL
Key Insights & Takeaways
The account emphasizes social responsibility by suspending sales in Russia and Belarus, showing alignment with global events. It highlights product recognition through mentions of PCMag ratings and Editor’s Choice status, which can build trust and credibility. The account shares content about industry events and figures like Garry Kasparov, which helps maintain relevance and visibility.
Strengths
- + Established follower base of 163,052
- + 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 @Avast reveals an growing Twitter presence with 163,052 followers. The account demonstrates a conversation-first approach, averaging 5.8 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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