Automating YouTube performance insights for a global acupuncture education brand

Gets monthly analytics from YouTube API; analysis and optimization recommendations

About business

ShinKyu University is an online education business specializing in advanced Japanese acupuncture and moxibustion training for licensed acupuncturists. The platform serves a global practitioner base, helping professionals bridge the gap between Traditional Chinese Medicine (TCM) and Japanese-style clinical precision to achieve superior client outcomes.

About business

ShinKyu University is an online education business specializing in advanced Japanese acupuncture and moxibustion training for licensed acupuncturists. The platform serves a global practitioner base, helping professionals bridge the gap between Traditional Chinese Medicine (TCM) and Japanese-style clinical precision to achieve superior client outcomes.

About business

ShinKyu University is an online education business specializing in advanced Japanese acupuncture and moxibustion training for licensed acupuncturists. The platform serves a global practitioner base, helping professionals bridge the gap between Traditional Chinese Medicine (TCM) and Japanese-style clinical precision to achieve superior client outcomes.

How it works

At the start of each month, the automation collects YouTube data — views, retention, engagement, and traffic sources.
GenSpark AI then analyzes the data for content trends, viewer behavior, and drop-off points, generating a visual report and actionable recommendations for Maya’s content team.

How it works

At the start of each month, the automation collects YouTube data — views, retention, engagement, and traffic sources.
GenSpark AI then analyzes the data for content trends, viewer behavior, and drop-off points, generating a visual report and actionable recommendations for Maya’s content team.

How it works

At the start of each month, the automation collects YouTube data — views, retention, engagement, and traffic sources.
GenSpark AI then analyzes the data for content trends, viewer behavior, and drop-off points, generating a visual report and actionable recommendations for Maya’s content team.

Use case

Before automation, Maya’s team spent days manually compiling analytics to understand which videos helped most in student acquisition and course awareness. Insights were inconsistent and often arrived too late for next month’s content calendar.
Now, all reports are automatically generated, summarized, and sent to the team — making YouTube strategy data-backed and time-efficient.

Use case

Before automation, Maya’s team spent days manually compiling analytics to understand which videos helped most in student acquisition and course awareness. Insights were inconsistent and often arrived too late for next month’s content calendar.
Now, all reports are automatically generated, summarized, and sent to the team — making YouTube strategy data-backed and time-efficient.

Use case

Before automation, Maya’s team spent days manually compiling analytics to understand which videos helped most in student acquisition and course awareness. Insights were inconsistent and often arrived too late for next month’s content calendar.
Now, all reports are automatically generated, summarized, and sent to the team — making YouTube strategy data-backed and time-efficient.

01

AI performance analysis

Delivers monthly performance analysis automatically, genspark AI agent identifies which content drives engagement and revenue impact without manual spreadsheet work

02

Actionable Optimization

Provides actionable optimization recommendations (thumbnails, titles, posting schedule) backed by data, so content strategy becomes predictable instead of guesswork

Core Metrics

10 hrs/mth

10+ hours/month saved on manual analytics reporting and spreadsheet work

> 25%

25-35% increase in average view duration (from data-backed optimization)

20%

20% boost in monthly subscribers from targeted posting strategy recommendations

Stack:

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