Im wondering what do you think of this approach and how this is related to your approach to analyze websites and categories on the first place?
Everyone is going to have their own strategy for optimizing campaigns. Since we are running a worldwide campaign to start, I think it makes the most sense to optimize based on GEO first. I do recommend doing 1 GEO = 1 Campaign once you know what GEOs are going to convert at a profitable rate. Typical affiliate offers with only allow a few GEOs so setting up 1 campaign for each GEO is no big deal, but we're working with a worldwide smartlink on this campaign
Push only works for certain devices and browsers so it really helps narrow the other targeting/optimizing typically required. Device/OS/Browser is very specific for this campaign (Android phones with Chrome Browser). That is why we jump to WebsiteIDs.
WebsiteIDs are the most specific variable for every click you get from
PopAds. Everything else is going to be something you optimize on every single campaign on most
traffic sources. I call these Visitor Variables and
Traffic Source Variables. Our focus is traffic source variables since the visitor variables are already so small for push notification collection campaigns
Also the one thing I don't understand - you're decided to leave some countries with few hundreads of visits. Yes they have the conversions, but does it make it statistically significant? I mean for example 1 country -> there are 200 visits and 1 conversion and another country didn't have conversions at all but has the same amount of vistors Can we actually say if this data significant to make an assumption and pick one country against the other? Same question is for Categories and websites ids and any other variables.
I agree that you want to have multiple conversions to be able to really have some statistical significance in most cases. The budget in this campaign is pretty low and our goal is more or less to find a few GEOs to test and get profitable. With a bigger campaign with a bigger budget, you are going to want to do more testing and I highly recommend it even on this campaign (you can go back and do a wider test with more money to get more GEOs). BUT, because of our goals for this campaign, I picked my GEOs based on the first $5 spend and the data available from that test. I recommend you do the same if you are following this course.
For EVERY variable you want to have as much data as possible before making optimizations or you will likely over-optimize
Here is a great thread/discussion about that:
afflift.com