Vaizle YouTube channel thumbnail
Vaizle
Subscribers 3.8K
Videos 115
Views 60.7K

Channels Like Vaizle

Vaizle focuses on AI-powered marketing analytics, aggregating ad accounts, social media, website analytics, and competitor profiles to answer questions about performance and campaigns. Content includes tutorials and walkthroughs on using Vaizle AI for Meta Ads and analytics, with a mix of instructional videos and strategy-focused topics; uploads appear frequent, with an average of about 157 views per video and roughly 4 minutes per video.

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Similar Channels

We found 47 YouTube channels similar to Vaizle

Ben Heath YouTube channel thumbnail
#1

87% relevance

Subscribers 423K
Videos 1K
Views 28.3M
Appearances 13
SERP 100%
Similarity 78%
social ads analytics meta ads analysis ads performance metrics

Very high search overlap (social ads analytics, meta ads analysis, ads performance metrics) with Vaizle, and Content similarity is substantial (78%), indicating a similar focus on ads analytics while potentially differing in presentation style.

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Dara Denney YouTube channel thumbnail
#2

80% relevance

Subscribers 130K
Videos 570
Views 5.3M
Appearances 12
SERP 79%
Similarity 81%
social ads analytics meta ads analysis ads performance metrics

Strong alignment on queries like social ads analytics and ads performance metrics (search 79%); content similarity is also high (81%), suggesting a comparable analytic approach to ads with similar topic coverage.

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Michael Diaz  YouTube channel thumbnail
#3
Michael Diaz

76% relevance

Subscribers 22K
Videos 119
Views 208.4K
Appearances 9
SERP 70%
Similarity 81%
meta ads analysis ads performance metrics ads optimization techniques

Shares focus on meta ads analysis and ads performance metrics (high search overlap) and exhibits very strong content alignment (81%), indicating comparable depth on ads optimization techniques and performance insights.

AI summary
Ben Heath - Google Ads YouTube channel thumbnail
Subscribers 92K
Videos 197
Views 4.1M
Appearances 16
SERP 69%
Similarity 78%
google ads analytics ads performance metrics ads optimization techniques

Significant overlap in searches for google ads analytics and ads performance metrics, with solid content similarity (78%), showing Vaizle-like emphasis on paid search analytics albeit with a Google Ads specialization.

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Funnel YouTube channel thumbnail
#5
Funnel

72% relevance

Subscribers 10.7K
Videos 370
Views 598.7K
Appearances 9
SERP 59%
Similarity 80%
marketing dashboards marketing analytics tutorial marketing data integration

Content aligns on marketing analytics and dashboards (high content score 80%), and there is notable search overlap in marketing analytics topics, suggesting a shared audience interested in data-driven marketing visuals and tutorials.

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Adam Erhart YouTube channel thumbnail
#6

70% relevance

Subscribers 666K
Videos 1.3K
Views 41.2M
Appearances 9
SERP 61%
Similarity 75%
social ads analytics marketing dashboards advertising analytics tutorials

Broad overlap on social ads analytics and marketing dashboards, with decent content similarity (75%), indicating a parallel focus on advertising analytics and practical dashboards for marketers.

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Content Landscape

Discovered competitors include Ben Heath (87% match) and Dara Denney (80% match) as the top matches. Both concentrate on social ads analytics, meta ads analysis, and ads performance metrics, aligning with Vaizle’s focus on marketing analytics and ad analytics. Ben Heath — 423K subscribers and Dara Denney — 130K subscribers illustrate substantial size differences compared to Vaizle’s 3.8K subscribers. Michael Diaz (76% match) also overlaps on meta ads analysis and ads optimization techniques, while Ben Heath - Google Ads (74% match) targets google ads analytics and optimization. The common queries among these competitors include social ads analytics, meta ads analysis, and ads performance metrics, indicating a shared emphasis on advertising data integration and analytics dashboards.

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Video Highlights

Recent content from similar channels

Didn't Make the Cut

41 additional channels that were close

Rank Relevance Channel Similarity Subscribers SERP Appearances
#7 67% HubSpot Marketing ▶ 78% 591K 52% 11
#8 65% Google Analytics 74% 517K 53% 5
#9 64% Loves Data 75% 152K 48% 9
#10 64% Motion (Creative Analytics) 78% 15.6K 43% 9
#11 61% TryThisAI ▶ 79% 438K 35% 2
#12 61% Derek Videll ▶ 84% 9.8K 26% 5
#13 60% IBM Technology ▶ 76% 1.6M 36% 4
#14 59% LYFE Marketing ▶ 80% 219K 29% 4
#15 59% Umar Tazkeer 76% 606K 34% 7
#16 58% Supermetrics 81% 4.1K 23% 2
#17 58% Elevate Digital 76% 10.6K 30% 6
#18 58% Aaron Young | Google Ads | Define Digital Academy 79% 131K 26% 7
#19 57% Cami's Ad Lab ▶ 83% 6.1K 19% 1
#20 57% Grow My Ads ▶ 75% 37.2K 31% 8
#21 56% Sabri Suby ▶ 76% 470K 25% 7
#22 55% Jump 450 82% 5.0K 15% 2
#23 55% Social Media Examiner 79% 344K 19% 1
#24 55% Fraser Cottrell ▶ 80% 26.9K 17% 4
#25 54% Spreadify™ Marketing 77% 2.2K 20% 2
#26 54% Sam Piliero ▶ 80% 74.9K 17% 5
#27 53% Justin Lalonde ▶ 78% 29K 16% 5
#28 53% Google Career Certificates ▶ 74% 737K 22% 5
#29 53% Edward Sturm ▶ 77% 54.5K 17% 2
#30 53% Elena Bezborodova 75% 10.1K 19% 1
#31 53% Bailey Dang 75% 2.8K 19% 4
#32 53% Coupler․io Academy 76% 63.2K 18% 4
#33 52% Surfside PPC 75% 264K 17% 6
#34 52% ServiceNow Documentation 74% 60.6K 19% 4
#35 52% Patrick O'Driscoll | E-Commerce Growth Marketer 76% 1.5K 15% 1
#36 52% Ivan Mana 74% 125K 18% 3
#37 52% Be Productive 73% 56.6K 19% 1
#38 51% James And Jenna's Tutorials 76% 7.1K 15% 1
#39 51% Simply Explained 67% 488K 28% 3
#40 50% 365 Data Science 71% 368K 20% 2
#41 50% Content Marketing Institute 72% 36.1K 16% 2
#42 49% Kim Lawton 72% 1.4K 15% 1
#43 49% App Masters 72% 73.7K 15% 1
#44 48% Exploding Topics 71% 5.3K 15% 1
#45 48% TechnologyAdvice 66% 34.5K 20% 2
#46 45% Nanosys 66% 13.2K 15% 1
#47 45% METTLER TOLEDO AutoChem 65% 6.3K 15% 1

Search Queries Used

marketing analytics AI marketing analytics social ads analytics meta ads analysis google ads analytics advertising data integration competitor analysis tools ads performance metrics creative analytics ad account management marketing dashboards pixel tracking explained ads optimization techniques marketing experiments advertising analytics tutorials marketing analytics tutorial AI for marketing analytics social ads metrics advertising performance analysis ads campaign optimization cross platform analytics marketing data integration competitive ad analysis creative performance metrics campaign ROI measurement ad spend optimization marketing KPI tracking pixel data explained attribution modeling basics audience insights tools marketing dashboards best practices ads experimentation design paid social analysis ecommerce analytics tricks digital marketing audit checklist

Frequently Asked Questions

Which YouTube channels are most similar to Vaizle?

Vaizle's biggest YouTube competitors are Ben Heath (87% match, 423K subscribers) and Dara Denney (80% match, 130K subscribers). Michael Diaz is also a competitor (76% match, 22K subscribers). All three channels focus on marketing analytics, PPC tools, and digital advertising topics, similar to Vaizle's emphasis on AI marketing analytics and ad analytics.

What type of content does Vaizle make?

Vaizle creates explanatory and walkthrough content about AI marketing analytics and Meta Ads analysis, including topics like creating AI analytics workflows, using Vaizle AI for competitive analysis, and live agent walkthroughs. The channel uploads videos that collectively average about 157 views per video, with varying recent view counts (e.g., 1.9K views for the Meet Vaizle AI video and several 0-view recent uploads), and its approximately 3.8K subscribers suggest a moderate-frequency posting schedule. Upload frequency is described as averaging multiple videos per week based on the provided list of recent videos.

How do we determine which channels are similar to Vaizle?

We analyze Vaizle's recent videos, generate topic-relevant search queries, check YouTube search results, and compare the meaning of each channel's content to measure similarity. The result is a ranked list sorted by SERP overlap, semantic similarity, and search appearances.

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