As you may know, the Automatic Campaign Optimization is a unique feature that was first introduced on AdsBridge platform. It’s been launched and running for quite some time, however, we still receive questions like:
“What benefits it gives?”, “Why affiliates need it?”, and “How it works?”
When we came up with an idea to create a tracker, we were determined to develop such a SaaS solution that would not only include the basic tracking functionality but also provide some unique features. Auto-optimization is one of such options that let AdsBridge stand out among other trackers.
Any affiliate, regardless of their experience, knows that the key indicator for a landing page is EPV and for an offer—EPC. Apparently, you can’t just calculate ROI for each lander and offer—this won’t be accurate since the traffic cost can vary and not all traffic sources can pass the dynamic value of each click (i.e. when purchasing traffic by the bidding system). Moreover, with some sources the cost upgrade is done after the event, which means that there is no way to optimize campaigns by ROI in real time because you are unable to make changes and act on time.
Basically, when developing the Automatic Campaign Optimization system, we relied on our own experience and feedbacks of a test team that concluded that the EPV and EPC indicators are the ones we must use.
So, what’s the working principle of auto-optimization? When the feature was in beta-testing, we generally mentioned that it uses various algorithms based on optimal control strategy and a probabilistic approach to monitor statistics and determine the best-performed landing pages and offers. In fact, the process is much more complicated than that!
Auto-optimization is an intelligent and self-learning system. It doesn’t make decisions on bare facts but learns, and then forms predictions on the basis of received data; that is based on the combination of statistics on the last step of optimization and calculated probable success of a lander/offer on the next step.
This way, the system distributes the percentage ratio between landing pages and offers in the distribution rule, sending more traffic to landers/offers with better EPV/EPC indicators. However, you should bear in mind that auto-optimization can be used only in the distribution rule that has enough amount of traffic and a minimum set of 3-4 landers/offers to choose from.
Even when the system selects the best lander/offer from the set, it still leaves a possibility for other landers/offers to return a certain amount of traffic on a condition that these landers/offers will show the dynamic increase of EPV/EPC.
To wrap it up, Automatic Campaign Optimization identifies the profitable landing pages and offers in real time and distributes traffic on them. This means you don’t have to analyze and monitor statistics for each campaign separately. The system saves your time and lets you increase profit from all landing pages and offers at a time. So, if you run multiple campaigns and want to see the maximum revenue growth, auto-optimization will become your best assistant.
To learn more about an automatic campaign optimization and how to set it up on AdsBridge, you may consult our user guide.
It’s pretty amazing how few performance marketers use auto optimization.
Do you have any case studies on your auto optimization vs. a manual optimized process?
Hello! Thank you for the idea! We will have to do some research, and post a before and after post rgearding this!
-AdsBridge