While discussing the RM Ad Network with a potential advertiser, I continually mentioned the topic of learning. As I went on about the value of this process for the advertiser, a great question came up: “Other networks I work with don’t have this learning process. Why does yours”?

Let’s start with a brief description of advertiser learning.

Learning within the RM Ad Network is the automated process in which Yield Manager, our ad serving technology, uses your campaign’s performance data to understand where, when and to whom it should deliver your ads in order to achieve the best possible results. Think about this process as an investment in the ultimate success of you campaign.

Without automated learning, you’re looking at the eventual, unavoidable manual optimization of your campaign.

When embarking on a campaign with most networks, a CPM is negotiated that will determine the quality level of inventory your campaign will receive. After a week of activity, you contact the network to assess performance.

Sound familiar?

After this conversation, manual optimization occurs. Your campaign no longer runs in the lowest quality inventory that your CPM has dictated, allowing your ads to rotate in very limited space.

So what has happened? You have “learned” that your campaign won’t perform in low quality inventory. However, you have little understanding of where it will perform.

Put simply, the RM Ad Network utilizes the automated learning process in order to understand performance tendencies, make the best decisions in the distribution of your ads, and generate better ROI.

This entry was posted on Friday, January 20th, 2006 at 12:00 am and is filed under Remix Media (Right Media Ad Network). You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.