Sports Local Media is a sports oriented Ad network with a high level of technological maturity. Its websites bring together more than 6 million unique visitors every month.
Their team started the programmatic transition in 2012 and acquired an extensive experience in this field since then.
Adstack Header bidding with more than 10 bidders Google Ad Manager
The SLM ADS team has an extensive expertise in header bidding and programmatic advertising. They have been experiencing a huge growth since many publishers started adopting their advertising stack.
With hundreds of managed websites that need continuous optimization on several devices and regions, they definitely needed an analytics platform to sustain their growth.
Goals Troubleshooting – Being more responsive in correcting header bidding potential setup issues. Optimization – Reaching optimal yield by continuously A/B testing their Ad stack . Release & QA – Being immediately aware of the impact of any change in their inventory or Ad stack setup.
Solution All websites’ and bidders’ advertising performance was centralized in one place allowing the team to connect the dots easily between all sources. Real time data for QA and technical validation allowing the team to work smarter and solve problems faster. A flexible A/B testing process with different combinations for any new bidders, ad unit, ad size or setup change. The team uses Pubstack to run dozens of AB tests with very granular and flagged data.
Pubstack helped SLM ADS optimize their A/B testing strategy and speed-up the process towards optimal yield :
-45% of bidder timeouts on all websites 5 times more AB testing with hugely reduced AB testing cycles More on this topic
If you’d like to know more on some other Pubstack customers who have been facing similar use cases, check out the following posts :
Use case : Le Monde who have also been using Pubstack’s platform to fine-tune their ad stack and speed up the process towards optimal yield on their inventory Use case : Talks Media also looking to speed up the process towards optimal yield while centralising all of their monetisation data into one platform