New app marketing tool gets smart about user acquisition
Tuesday, December 18, 2018
Knowing how much a user is going to be worth after acquisition is always a challenge. But a new tool from ironSource called “ROAS optimizer” (return on their advertising spend), leverages in-app purchase data and user-level ad revenue data to unveil that mask.
Mobile monetization and marketing company ironSource has announced the launch of its ROAS (return on their advertising spend), Optimizer tool. The new tool enables user acquisition managers to automatically bid on dynamic CPI (cost-per-install) rates to reach the desired ROAS goal, solving one of the most painful challenges of user acquisition today of efficient and reactive bidding on a user level.
There are three main issues preventing user acquisition managers from executing efficient strategies. First is their limited capacity to update and optimize bids on a large scale. Second is the complexity in finding an efficient methodology to optimize towards true ROAS. A third is the lack of accurate user-level ad revenue data, which would provide them with complete ARPU data to better understand the true value of their users.
The launch of ironSource’s User-Level Ad Revenue solution last month gave app developers the ability to accurately measure ad revenue on the user level, and link that data to the marketing channel which brought in that specific user. ironSource’s ROAS Optimizer has resolved the other two issues by leveraging the power of the User-Level Ad Revenue solution. Knowing both the in-app revenue and the ad revenue, its algorithm works out the optimal bid and automatically updates thousands of bids a day, replacing the current inefficient methodology. The new tool optimizes towards three data sets: in-app purchases, user-level ad revenue and the combination of in-app purchases and user-level ad revenue.
The tool has many features to ensure that it achieves the optimal bid: the tool is very granular, making real-time changes with multi-bids according to multiple optimization dimensions; it instantly analyses new supply that joins the network and implements it into its complex algorithm, speeding up an otherwise lengthy process; it utilizes the insights from ironSource’s mediation to run category clustering which looks for data from similar games to decide on the right bid for each user; and it works on many other dimensions to optimize ROAS.
“There’s no difference between advertising in-app and advertising in traditional channels. In both, there are different qualities of users stemming from a variety of different factors, and advertisers must know how to bid according to those users,” said Tal Shoham COO Developer Solutions ironSource. “The first step involves correlating two different user behaviors - IAP and ad revenue. With that visibility, optimizing a campaign that may reach tens of thousands of different bids is impossible to do manually. ironSource created the ROAS Optimizer to solve this challenge. And its immediate success is already apparent in the ironSource network, with the most successful titles using our ROAS Optimizer tool.”
Read more: https://www.ironsrc.com
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