Shopify Dropshipping Case Study $0 To $30k In 10 Days using shopify dropshipping.
✅ Dropshipping challenge like oberlo and ebay dropshipping. Similar channels are hayden bowles, ecom king, franklin hatchett, verum ecom, kevin zhang, alex becker and scott hilse.
During the initial test I determined that the product had potential, due to the very low cost per landing page view.
From past winner experiences, I know that any product that has a good click through rate and low cost per landing page view. Has very good odds of being a winner.
This allowed me to transition to agressive testing on day 2, rolling out a bunch more interest ads. Expanding the audienceses and determining my ideal customer metrics.
During the initial test, both ad creatives were performing well, one was doing better then the other but I decided to leave both going.
I began developing my idea customer right away, based off the small amount of data I had and the customer understanding I had from past similar products.
Ideal Customer Audiences
I wanted to expand into ideal customer audiences as soon as possible. These have always performed much better then interest ads and have good potential for scalling.
I took the information from all my ads and based my idea customer of the metrics provided from the landing page view data.
I based my ideal customer off landing page view data, because since the ads were so new, that was the data point that had the most information.
As I gained more data from more interest audiences, I began testing several different ideal customer audiences. Only changing the interests that were in each stack.
Expanded Interest Audiences
I always like to start into my expanded interest targeting once I have my ideal customers age range.
Once you have this information, you basically are creating an ideal customer audience again. But instead of you inputing the interests, you let Facebook pick them for you.
These expanded interest audiences take a bit of time to start working. So you need to be patient and give them a good budget to start with.
Expanded interest audiences that performed well within there first day of running were immediately duplicated a couple times.
As soon as I felt I had enough data, I started working with look alike audiences. Begining with 95% VV look alike audiences.
Since I was collecting data very fast with large ad spend at the beginning. I was able to find success with these look alike audiences.
I started with 95% vv look alike audiences, then let those run for about 4 days before proceeding to any other look alike audiences.
Since such a large amount of people watch the video, with a large drop off to the product page. I only wanted to start with these audiences cause I beleived they had enough data.
After finding success with these audiences, I transitioned into Facebook and Instagram interaction audiences. These worked very well, because they had enough data to perform.
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