💡 Help Us Shape the Future of Deal Reviewing!
Are you a SellerAMP or BuyBotPro user?
We’re building an AI-powered Chrome extension and want your input to create something truly game-changing!
Once the Chrome extension is complete, the logic is to seamlessly integrate its deal reviewing metrics and the AI semantic score, along with the associated report, directly into the platform.
Here’s the idea:
  • The extension will be a powerful tool for manual sourcing on Amazon, giving users a taste of what ClickBuy can offer.
  • For existing customers, it’s a win-win. The basic version of the extension will be free, and as new customers use it, their token usage will allow us to pull down thousands of ASINs.
How This Works For Platform Customers 🚀
  • Imagine 100 or 1,000 users with the extension.
  • This increased usage allows us to exponentially reduce the time intervals for AI tools to analyse metrics like Buy Box and review data.
  • We’re aiming to move from the current 24-hour data refresh rate to intervals as short as 15 minutes, 5 minutes, or even real-time analysis.
At that point, you won’t need additional tools like SellerAmp or BuyBotPro, as our platform will provide everything you need in one place.
Share your insights and help us design a tool that fits your needs perfectly. 🙌
I’m currently building out the data points for the deal-reviewing AI agent to assess its bias when determining a percentage score of suitability for purchasing a product. For example, if it provides a 90% score, it indicates a high likelihood of being a winning product, whereas a score of 10–20% would suggest it’s a poor choice.
To that end, I’ve outlined below the potential metrics we are currently considering. I’d appreciate feedback from anyone who uses Keepa, SellerAmp, BuyBotPro, or similar tools to evaluate these metrics when deciding whether to purchase a product.
Once a product has passed the initial stage of being profitable, the key question becomes: “Should I buy it?”
Your Feedback Would Be Invaluable
  • Are there any additional metrics you would recommend including?
  • Are there any metrics listed below that you feel are not helpful?
Units bought in the last month
Review rating: Check the average review rating of the product to gauge customer satisfaction.
Seller name similarity: Verify if the seller's name is identical or very similar to the manufacturer or brand name. This can indicate authenticity and trustworthiness.
Package weight: Check the package weight of the item to ensure it's within your desired range (in this case, exceeding 5 kg).
Current sales rank: Obtain the current sales rank of the ASIN to gauge its popularity.
Sales rank trend: Analyse the sales rank trend over various time frames (180 days, 90 days, 60 days, 30 days, and current day) to identify patterns:
Sales rank drops: Check if the sales rank has dropped in the last:
Buy box price consistency: Verify if the buy box price has been consistent over the past 90 days and 180 days. Is it increasing, decreasing, or staying the same?
Stock levels: Check the amount of stock the buy box current owner has in relation to the estimated sales for the month. This can indicate potential stock issues or opportunities.
QA1 score: Obtain the QA1 score for the matched item to identify potential quality issues or concerns.
Profit and ROI: Calculate the potential profit and ROI for the item to determine its viability.
IP warning: Check if there's an IP warning for the product, which can indicate potential copyright or trademark issues.
Gated product: Verify if the product is gated, which can limit competition and affect sales.
  • How do you approach weighting these metrics?We’d like to understand your cognitive bias towards each metric and how it influences your decision-making process.
We’ve conducted some initial internal testing and achieved promising results. However, we’re always looking for community feedback to refine the agent’s analysis.
Our ultimate goal is to ensure the tool delivers insights tailored to your specific business needs rather than relying on a generic approach.
What’s Coming Soon 🎉
Next week (or the week after at the latest), we’ll begin rolling out a Keepa-integrated chart directly into the platform. This will be another powerful tool to streamline your analysis, ensuring you have all the functionality you need in one system.
Our Vision 🌟
We’re focused on building a platform where AI agents handle the full process within the ClickBuy ecosystem. The ultimate goal is to eliminate manual, day-to-day tasks, so you can focus on working on your business, not in your business.
Looking forward to your thoughts! 🙏
Martin 🚀
14
12 comments
Martin Mcdonagh
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💡 Help Us Shape the Future of Deal Reviewing!
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