How to maximize automation for your app on FairBid

If life is a journey towards complexity it can feel like the ad-tech world is no different. As the industry grows and changes rapidly, creating an app that stands out is now more challenging and competitive than ever, and the potential to extract the full value from your monetization setup increases. 


Reducing the complexity of in-app monetization more effectively is a core consideration when building solutions for our publishers. Below are four ways automation can save you time, eliminate redundant tasks and optimize your monetization strategies freeing up more time to create the best game experience for your users. 


Four ways you can get the most out of automation on your app


New and improved dashboards – control your ad monetization with more ease and insight


Automation enables doing more and clicking less; surfacing the most relevant KPIs in the right place, at the right time. For a publisher, the automation journey starts from the dashboard. 


The FairBid dashboard features a combination of flexibility and customization geared towards surfacing key data points and measuring growth. Instead of having to manually check the status of your apps one-by-one, the dashboard offers a macro view of the health and performance of your portfolio, allowing you to quickly zero in on issues as they arise. With a more intuitive interface and automated setup, your operations will run faster and more efficiently, keeping you one step ahead. 


Auto CPM makes waterfall management a breeze


Until the industry shifts completely to a unified auction model, mediation platforms still need to support both biddable and non-biddable demand sources (waterfall networks). 


Managing a waterfall can be time-consuming and inaccurate as you are working with aggregated performance data in the form of estimated CPMs. Our Auto CPM feature uses machine learning algorithms to analyze historical buyer data, looking at the network, publisher, placement, and geo levels to build an accurate profile of buying performance. You can only achieve this level of analysis at scale with automation, saving you time and offering an increased level of precision that was not previously available.


With this knowledge at hand, FairBid is able to submit an accurate virtual bid into the FairBid auction to compete alongside biddable demand sources – creating a unified auction.

Testing 2.0 – optimize and scale your approach with multi-testing


Should you take the leap and only accept biddable demand? Will changing the frequency cap impact your eCPMs? Contemplating the performance of a demand source in your setup? These assumptions have been difficult to prove effectively until now. 


Fyber’s Multi-Testing tool is a unique solution enabling publishers to adopt an “always test” approach. Multiple variations of ad monetization setups (“variants”) can be tested in parallel supporting up to five different variants while giving publishers control over what percentage of traffic each variant receives. This allows for more flexible testing, shortening the time it takes to test multiple monetization strategies side-by-side. Tests can be run on as little as 10% of your user base before scaling up to 100%, once you have found a variant that performs optimally for your needs. The FairBid platform will provide guidance on the duration that the test should run for based on the complexity and volume of traffic it sees. Blue Ox is a great example of this. By utilizing the Multi-testing tool, Blue Ox drove 39% uplift in interstitial eCPM by enabling SDK bidding. 


Full support for in-app bidding – closing the automation loop


In a waterfall setup, understanding the true value of an impression is hard. Buyers don’t compete on a level playing field and pricing data is based on aggregated pricing (estimated eCPMs).


Fyber FairBid allows programmatic networks, DSPs, and SSPs to compete alongside waterfall demand for every request. With added competition, every impression is sold at its true market price, which drives CPMs up and provides impression-level insights that can be used to guide your UA strategies. 


As more demand moves to bidding, you can shorten your waterfall, reducing the latency between ad requests and impressions (from as high as 60 seconds to as low as 5 seconds with a full bidding setup). Latency savings enable you to explore new ad opportunities in positions not previously possible (for example, interstitial on app open) or to increase the frequency and refresh rate of your ads. By having a more optimized, flexible, and responsive monetization setup, you can shift your focus to continuously improving the game experience for your users.


Setting publishers up for success 


In an era of programmatic, achieving success and scale at the same time is possible. It shouldn’t feel like a trade-off between resources and revenue. While this balance might require trial and error, the results will be worth the investment. You will be able to prioritize driving up ARPDAUs, improving the ads experience for users, or in freeing up additional resources that can be spent in game development, user acquisition, or exploring where and when to show ads optimal to users. 


Built on the foundation of transparency and openness


We believe in allowing you to choose the level of control that works for you and understand what’s going on under the hood so you can operate confidently knowing your data is only serving you.

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