Antiques Roadshow
America's favorite treasure hunt! Mondays at 8/7c & 9/8c PM on PBS. #AntiquesRoadshow
63,730
Followers
1,278
Following
28,795
Tweets
28.8
Avg Engagement
548
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @RoadshowPBS'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:2009-06-01
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,226
- Avg Likes per Tweet:23.1
- Avg Retweets per Tweet:5.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,226 tweetsThe account consistently receives high engagement, indicating a loyal and active fan base. It frequently interacts with followers through mentions and retweets, fostering a sense of community.
23.1
Avg Likes/Tweet
5.6
Avg Retweets/Tweet
74,659
Total Likes
18,184
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
2
Median Retweets
19
75th Percentile
36,839
Top Tweet
0.45
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
36.1%
Original
13.4%
Replies
45.9%
Retweets
4.6%
Quotes
0.0%
Threads
1.2%
With Media
71.7%
With Links
69.4%
With #Tags
75.2%
With @Mentions
12.6%
With Emojis
146
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.37
Reply/Original Ratio
0.1
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
95.0%
Weekday Posts
5.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,226 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 1,480 retweets (46% 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 3,226 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 primary audience consists of fans of antiques, history, and television shows, particularly those who watch PBS. The account also engages with celebrities and other TV personalities, broadening its reach.
Below Average
Audience Quality
36.0%
Suspicion Index
57.2%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
67.1%
Empty Bio
57.6%
<10 Tweets
5.8%
Mass Following (>2K)
0.0%
New (<90 days)
62.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.2%
No URL
47.4%
<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.
5,230,610
Total Potential Reach
4
Median Follower Reach
35
75th Percentile Reach
3.5%
>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).
26.9%
Creators
2,686 accounts
15.5%
Consumers
1,550 accounts
57.6%
Dormant
5,764 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):
85
Verified Followers
0.85% of total
555
Protected Accounts
5.55% of total
3 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 | 939,004 | - | - |
| @dumbassgenius | 871,480 | Genius | Genius, Kimmel, Deluded |
| @Weinbach | 372,955 | Sports Commentator | Basketball, Sports, Media |
| @StephenCaggiano | 342,068 | Content Creator | Content creation, Access, Resource for creators |
| @agalleryartists | 173,499 | Art Dealer | NFTs, Art, Gallery |
| @AtticCapital | 115,225 | Finance | Investing, Alternative Assets, Finance |
| @AliciaMarieBODY | 81,712 | Fitness Influencer | Costume Artist, RPG/DND, Fitness |
| @EvanKail | 64,277 | - | - |
| @vermontpublic | 55,976 | - | - |
| @HerMoneyMedia | 45,016 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
3,294
Followers With Bio
6,706
Followers Without Bio
32.94%
% With Bio
67.06%
% 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 3,226 analyzed45,863
Combined Engagement
39,382
Total Likes
6,481
Total Retweets
9,173
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
Should somebody call @TheRock? https://t.co/7s1zKKikE3
@JohnDiesattheEn 👀
RT @jessecase: You were having a fine evening. Feeling youthful, energetic. Then you saw Pokémon cards on Antiques Roadshow. https://t.co/GdnHR8K3JO
RT @VancityReynolds: I was on #AntiquesRoadShow. I haven’t been this star struck since I got into an elevator with Johnny Cash back in ‘99. #RedNotice @RoadshowPBS @MaximumEffort https://t.co/lmHGQ0XtzW
Hi, @maysayhay 👋 We remember you fondly, too! @Jeopardy https://t.co/fZqWPxXr6g
Key Insights & Takeaways
The account leverages celebrity mentions to boost visibility and engagement. It uses a mix of promotional content and interactive tweets to maintain audience interest. The show's consistent schedule is a key point of emphasis in its tweets.
Strengths
- + Established follower base of 63,730
- + 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 @RoadshowPBS reveals an growing Twitter presence with 63,730 followers. The account demonstrates a content-creator strategy, averaging 28.8 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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