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Home > English > Marin University > Release Notes > Release Notes Q2 2020 > MarinOne & Marin Social: June 1st 2020 Release Notes

MarinOne & Marin Social: June 1st 2020 Release Notes

All Clients Dashboard in MarinOne

What’s New?


In addition to the All Clients View, we have also added support for the All Clients Dashboard in MarinOne. This can help advertisers easily compare performance and track conversions across multiple accounts.


As a reminder, Client Dashboards are created using Saved Views from the Clients Grid, and can be saved at the User or Customer-level. Saved Views from more granular grids (Campaigns or Keywords) are not currently supported.


To learn more, check out the dedicated Help Article



Value Optimization Bid Strategy in Marin Social

What’s New?


We now support Facebook’s “Value Optimization,” bid strategy, which tells its delivery system to show an advertiser’s ads to people who are most likely to maximize the amount of value they generate. Advertisers can bid on users more likely to drive downstream revenue, which means optimizing to users with a higher average amount of value per conversion, vs. finding the cheapest purchase conversions.

Why is this important?


According to Facebook, Value Optimization can tell the difference between higher-value conversions and lower-value ones. In its case, it prioritizes higher-value ones, which can lead to better return on ad spend (ROAS).


You should use the Value Optimization Bid Strategy when:

  • You reach audiences of at least 2M people within an ad set
  • You have a goal of maximizing the purchase value from each conversion or mobile app install
  • ROAS is the primary metric of profit and you're able to pass back transaction values to Facebook's platform



How Does Facebook Track This?



With an active Facebook Pixel, Facebook tracks purchase events for an individual user, passes back revenue, and uses machine learning to predict how much return on ad spend (ROAS) a person may generate for a business over a one or 7-day window. That prediction is then used to bid for the advertiser’s highest value customers.


For more info, see the Help Article


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