Rabu, 08 Agustus 2012

Recommending the most relevant advertisers, publishers, and links

Over the past year, we've heard from publishers and advertisers that they want a network that can help them create meaningful relationships. We've listened, and today, we've released a completely new recommendation engine that redefines how you can find and take advantage of affiliate marketing opportunities.

Publishers can find advertiser recommendations under the Advertisers > Recommended advertisers sub-tab. This is where they can find a list of available programs ranked based on relevancy and predicted performance. Each recommendation also shows why the recommendation was made, along with an estimate of earnings potential for that advertiser. We display advertiser recommendations based on the criteria below:
  • Similar category: Advertisers are ranked by relevancy to your publisher category.
  • Revenue potential: Advertisers are ranked primarily based on estimated payout fees.
In addition to the average advertiser EPC, each recommendation has an estimated advertiser EPC. Estimated EPC is a brand new metric designed to help publishers understand how much they could potentially earn with that advertiser.



Advertisers can now see publisher recommendations, too. Using the recommendation engine, the Publishers > Recommended publishers sub-tab shows a list of publishers that Google algorithms recommend as a good fit based on similar categories and revenue potential.


We've also brought the power of recommendations to the Links tab to help publishers find and promote the most relevant ads with the highest performance potential. Under the Links > Recommended links sub-tab, we display recommended text and banner links that Google algorithms predict may perform best for each individual publisher.





For more details, we suggest reviewing these Help Center articles:
Sign in to your account and try out recommendations. After you’ve taken a few minutes to review, we’d love to hear from you in our forum.

Posted by:
Ali Pasha, Product Manager
Robin Anil, Software Engineer

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