Last updated: 22 October 2026. Written by Ritesh Kanjee, director of Augmented AI.
To find which YouTube videos make you money, connect your content platforms to your revenue data in one dashboard. Ritesh Kanjee built an AI-powered sales funnel dashboard with Cursor that links each video to the leads and sales it drives. Instead of guessing from views, you can see which content earns and make more of it.
I built this dashboard because views were telling me the wrong story about my own channel. This article explains why view counts mislead, what the dashboard tracks, what it showed on our own community funnel, and how to use the same approach for your content.
Why do views not tell you which videos make money?
Views measure attention, not revenue. The usual advice is to publish consistently, increase volume and chase views, on the assumption that high viewership turns into sales. In practice there is often a disconnect: a video can collect a large number of views and produce no customers, while a quieter video steadily brings in paying members.
The cause is missing data. Without a link between what people watch and what they buy, a business owner is flying blind. Time and money go into content without knowing its return, so the wrong videos get repeated and the right ones get ignored.
What is the AI-powered sales funnel dashboard?
It is a dashboard I built with Cursor that sits between my content platforms and my revenue data. Its job is to answer one question: which content actually drives paying customers? It also gives AI-generated advice based on expert standard operating procedures (SOPs), so the numbers come with a suggested next step.
For context, I run a YouTube channel with over 121,000 subscribers and have over 62,000 LinkedIn followers, and I have generated nearly half a million dollars automating businesses with AI. Through Augmented AI I have built AI automation for organisations such as Momentum and Tshwane University of Technology in South Africa. The dashboard came out of needing the same clarity for my own content that I build for clients.
How does the dashboard connect content to revenue?
It connects YouTube channel data to community revenue in real time, so every subscription or sale can be traced back to the content that started it. Instead of proxy metrics such as views or likes, you see the whole journey from first video to paid membership. The four main features are:
- Real-time revenue tracking: links YouTube data (and later other platforms) to community revenue, showing which content leads to subscriptions or sales.
- Funnel drop-off identification: shows where potential members disengage, so you know which step to fix.
- Paying member attribution: identifies the specific videos that bring in paying members, separating valuable content from merely popular content.
- Ad performance: syncs with platforms such as Facebook Ads to track sales from paid campaigns alongside organic content.
What did the dashboard show on our own funnel?
On our community funnel, the dashboard tracked 1,800 visitors to a School page, which turned into 124 new members and about $1,186 in monthly recurring revenue within two months. Seeing those numbers per source is what makes them useful: you can move effort to what converts and fix the steps where people drop off.
How do long-form videos and shorts compare?
The dashboard separates shorts from long-form videos because they do different jobs in the funnel. Overlaying content type with daily views and watch time shows which format captures attention and which drives engagement. For example, a peak in daily views might come from one long-form video, while a run of shorts lifts overall channel visibility.
| Feature | Long-form videos | Shorts |
|---|---|---|
| Primary goal | Deep engagement, education, problem-solving | Quick reach, visibility, brand awareness |
| Engagement metric | Average view duration, watch time, audience retention | Views, swipe-through rate, re-watches |
| Conversion potential | Often higher for complex offers and lead nurturing | Lower direct conversion, more top-of-funnel reach |
| Typical length | Over 1 minute, often 5 to 20 minutes or more | Under 60 seconds |
| Search impact | Can rank for specific keywords and questions | Limited, mostly discovery |
How can you apply this to your own content?
You do not need my exact dashboard to start. What matters is joining content data to revenue data and reviewing it regularly. A practical order is:
- Connect your channel analytics and your sales or membership data in one place.
- Tag each sale or signup with the content that brought the person in.
- Compare paying members per video, not views per video.
- Find the funnel step with the biggest drop-off and fix that first.
- Make more of the formats and topics that convert, and less of the ones that only collect views.
If you want a system like this built around your own channels and revenue data, work with Augmented AI.