Prompt Details
Model
Chat - (gpt-6-astra)
Token size
584
Example input
[PLATFORM AND PERIOD, e.g. "Instagram, last 30 days"]: YouTube, last 30 days
[BUSINESS, e.g. "local hair salon" or "online shop, handmade candles"]: online shop, selling: handmade candles
[leads / sales / followers / brand awareness / bookings]: sales
[e.g. "about 20k views, 300 profile visits, 8 sales", or "none"]: thousands of views per video, about 300 profile visits, 8 sales
[YOUR QUESTION]: People love the videos in the comments but almost nobody buys. Is YouTube even worth it?
Example output
The short answer
YouTube may be worth keeping, but your numbers don't yet prove it's a good sales channel. You have evidence that people are watching and that some are buying, but we don't know whether the problem is getting viewers to your shop, convincing them to buy, or both. Think of your videos as a shop window: people stop to admire the candles, but we need to find out how many actually walk through the door.
What your numbers say
- Thousands of views per video → Your videos are getting exposure. However, views alone don't tell us whether viewers are potential candle buyers or simply enjoying the content.
- About 300 profile visits → Some people are interested enough to take another step. We need to know whether these visits came from YouTube videos and whether they led to your shop.
- 8 sales in 30 days → You made sales during the period, but we don't know how many came from YouTube rather than other sources.
- Sales per profile visit: 8 / 300 × 100 = approximately 2.67% → If all 8 sales came from those 300 visits, that would be about 2.67 sales per 100 visits. This is a conditional calculation, not a confirmed conversion rate, because the sales source is unknown.
Where it breaks
The path looks like this:
Seen → Watched → Trusted → Acted
1. Seen — Views: Thousands of views per video suggest your content is getting seen. We don't have unique viewers (different people who watched) or reach data to determine how many potential customers you reached.
2. Watched — Attention: Positive comments suggest some viewers enjoy your content, but we don't have audience-retention data (how long people keep watching) to judge how well the videos hold attention.
3. Trusted — Profile visits: About 300 visits suggest some people take an extra step. We don't know how many follow, save, or visit your actual shop.
4. Acted — Sales: You report 8 sales, but without knowing their source or the number of shop visits, we cannot identify the exact point where potential customers drop off.
Weakest step: Not yet confirmed.
My confidence is Medium that there is a gap between engagement and measurable business results, but Weak on identifying the exact cause. We have rough totals, not a complete path from video to purchase.
3 experiments for the next 14 days
What to change How exactly Number to watch It worked if... Time per week
Give viewers one clear next step Publish 3 videos showing a specific candle, its scent, its use, and who might enjoy it. End each with one clear invitation to visit the shop through your channel link. Shop-link clicks and sales attributed to YouTube More people click the shop link than during the previous 14 days, and you can identify whether any sales came from those clicks. 1–2 hours
Make buying easier to understand Create 2 videos answering real buying questions: what the candle smells like, how it looks when lit, or what makes it a good gift. Show the actual product and explain how to buy it. Shop-link clicks and attributed sales The videos generate measurable shop visits and at least one attributable sale. If they don't, use the click data to decide what to test next. 1–2 hours
Track the journey from video to order Use a trackable shop link where possible, or a unique link for each video. Record views, clicks, and orders for each experiment. Clicks, orders, and click-to-order conversion rate You can identify which videos bring buyers, not just commenters. If there are too few clicks or orders to draw a conclusion, continue collecting data. 30 minutes
Important: These are experiments, not guaranteed sales targets. The success criteria are designed to generate evidence you can use for your next decision.
Stop doing
1. Stop judging videos mainly by views and positive comments. Those numbers can reflect entertainment value without showing purchase intent. Track clicks and attributable orders alongside engagement.
2. Stop making videos without a clear buying path. If someone likes a candle but cannot easily find the product page, the interest may never become a sale. Give each sales-focused video one obvious next step.
Write these down next time
1. YouTube shop-link clicks for the last 30 days. Look in YouTube Studio's Analytics, particularly traffic-source and content reports where available. This tells us how many viewers moved toward your shop. If you use an external shop, its own analytics may be needed to measure outbound visits.
2. Shop visits and orders attributed to YouTube. Check your shop's analytics or order-source reports. This tells us whether YouTube actually brings customers and what proportion of those visitors buy.
3. Average view duration or audience retention for each video. Find these in YouTube Studio's video analytics under engagement. Average view duration means how long people watch on average; retention shows where viewers leave. This helps distinguish videos that attract attention from those that hold it long enough to communicate the product's value.
My recommendation: Keep YouTube for the next 14 days, but treat it as a sales experiment rather than a popularity contest. Your next decision should depend on measurable shop clicks and attributable orders—not on whether the comments are enthusiastic.
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GPT-6-ASTRA
You see views and likes, but you don't know why nobody buys.
Most analytics prompts ask you to export reports. This one needs only the numbers you remember and one sentence about what bothers you. It answers in plain words, shows the math, and tells you how sure it is.
- Finds the weak step: seen, watched, trusted or acted
- 3 experiments for the next 14 days, with what counts as success
- What to stop doing
- Never invents benchmarks or numbers you didn't give
Works in any language.
...more
Updated 1 week ago
