Yield
Open auction revenue optimization is growing more complex day by day as publishers have to deal with multiple demand sources (GAM, Prebid, TAM, Open Bidding), the cookie apocalypse, and increasing pressure on user experience.
Are you sure to have the right set of bidders in your stack? The optimal time-out values? The best user ID modules?… Adomik Yield brings you machine-learning-powered recommendations to ensure that your setup is always optimal and to make your advertising stack generate maximum revenue.
Why Yield?
Improve the user experience to grow your traffic and generate additional revenue
Reduce your page loading time with prebid time-out optimisation and smart bidder selection,
client- or server-side
Reduce the ad load on your pages with the optimal number of ad units per page
Increase your average revenue per user
Grow your programmatic demand to attract new revenue
Select the highest revenue-generating bidders
Implement the ID modules that provide the best CPM
Identify the best demand for consentless
and ID less traffic
Resolve the technical issues that negatively affect your revenue
Receive real-time alerts any time a technical issue occurs
Access real-time analytics for full transparency
into your header bid data
Easily follow the effects of your troubleshooting actions
to ensure full recovery
how it works
Yield captures and combines the bid data from your header (Prebid), the monetization data from your ad server (GAM), and the audience data from your audience analytics software (Google Analytics, Adobe, and Piano)
It delivers unique “bid level” and “user monetization” insights for your AdOps to monitor the stack in real time
Yield leverages machine learning and our experience working with 120+ publishers to deliver automated recommendations to maximize your revenue
It does so per environment (Desktop Web, Mobile Web, or In-App) or traffic type (IDless, Consented, Constentless): bidder selection, timeout settings, client- or server-side, or ID modules, etc.
Yield offers custom A/B testing capabilities on any optimization settings (time-outs, bidder selection, ad slots per page, client- vs. server-side activation, etc.)
It shares clear and transparent results on revenue uplift across your entire advertising revenue, taking into account your direct sales, PMPs, PGs (Programmatic Guaranteed) and the other demand sources (Open Bidding, TAM, etc.)
Features
Yield Recommendations
Easy-to-implement and automated machine-learning-powered recommendations to optimize your stack. What is the optimal number of ad slots on your pages? What bidders do you actually need in your stack? Which user ID modules perform the best? What are the optimal time-outs?
A/B Test Management
A customized A/B testing management tool with dedicated measurement of revenue uplift across your full stack to test the Adomik Yield Recommendations as well as your own yield strategies
Prebid Analytics
Full transparency into bidder bid data, latency insights, bounce rate monitoring, bidder added value measurement, etc.
Audience Monetization
Joined audience analytics (e.g. Google Analytics or Piano) and monetization insights (from Prebid Analytics) to monitor the impact of ads on your audience, and optimize your revenue per page, session, user, section, etc.
Looking to optimize your Open Auction revenue on Xandr Monetize or Yahoo! Ad Tech? Try our Troubleshoot App!
Maximize your Open Auction revenue!
