Now, let's move on to our second method, which is called Ecomhunt. Now, many of you are probably familiar with this research method. However, the way we're going to use Ecomhunt is not the way you would expect. Now, firstly, this website posts, I think, two products a day, which is not a very good ratio considering there are thousands of members on here, all of them logging in and seeing those two products uploaded daily. That itself signals high saturation. You basically have a lot of members, dropshipping members testing the same products, the same two products, same two to four products uploaded every single day. To me, that is not a very good ratio. But in any case, the way we're going to use Ecomhunt is to sort by oldest first because we're not interested in seeing the newest products first.
And now we see all the products that were uploaded years ago. So the idea here is to find a product that meets the criteria of a winning product and see if it's been scaled recently. If it's not been scaled recently, then it's a potentially test-worthy product. So I'm just going to keep scrolling and we see this product. It grabs my attention. It seems like a product that would be very passionate toward a specific niche. So I'm interested in this product. Let me just search for this product on Facebook.
So we're going to go to the Facebook search, type that in, go to the videos, and try to locate any advertisements that were uploaded within the year that have a lot of views. Okay. So I see from 2018. Okay, so I'm seeing a lot of products that don't really look like the product that we're trying to look at right now.
So I'm going to try and search for "get yours." Okay, so we see a couple of advertisements, nothing really with a lot of traction. So I'm not really seeing any signs of high saturation within the past year. So this product currently does fit the criteria of what an old winning product looks like. And therefore you can decide on testing it.
And that is essentially the entire process. A lot of times it's good to go random with the orders right here. So these two methods, Drop Point and Ecomhunt, will find you so many old products. Now the main difficulty is actually being able to tell if it's saturated or not simply because Facebook search doesn't always show you every single advertisement of the product.
So that is why these old products are not always particularly predictable. However, you can get quite lucky sometimes and you can increase your odds by choosing an old product that happens to be seasonally favorable as well. So, for example, let's say our old product is an Arctic air cooler. And if you're not aware, this is an "as seen on TV" product. So I know that this product was very hot in 2016, 2017. I'm going to search for a more general version of this product name, "portable air cooler," or, "air conditioner," actually.
We're going to go to videos and then we're going to try and see if we see any big advertisements that were posted recently. Okay. So as you can see here, we see this advertisement right here that was posted on July 15. It has 100,000 views. Even though 100,000 views is not a lot to me, this still turns me off because somebody relatively recently tried to scale this product and they were able to scale it to a certain degree, but not, I'm assuming, not very profitably, which is why they stopped only at a hundred thousand views.
So this is just an example of an old product that could happen to be a seasonal product as well. So those are the two methods, Drop Point and Ecomhunt, on how you can find old products. Old products by nature have to do with timing. So now that you understand what old winning products are and essentially how you can turn old winning products into new winning products, now it's your turn to do the same. Devote two to four hours, identifying old winning products using one of these discussed product research methods. Make sure that they all fit the criteria of a winning product, and then make sure you do your Facebook search.
See what the upload dates were and see if it has already been reintroduced or not. If it has been reintroduced very recently within six months or so, I would probably not test it. So whatever product that fits those criteria, put them into the product testing sheet and we'll ultimately decide if we're going to test them. So that's it. Go ahead and spend that time finding those products and I'll see you in the next lesson.
