It's not for nothing that the competition for games going overseas is getting fiercer.
From Q1 2021 to Q4 2022, the CPI for iOS increased by 88%, meaning that vendors need to spend nearly twice as much to acquire a new user. At the same time, data privacy policies continue to be tightened, which further increases marketing costs.
In the current situation of high costs, how to balance the speed and accuracy, investment and return of overseas advertising? NetMarvel believes that machine Xi is the key to solving this series of problems.
Machine Xi: Speed + Accuracy = Efficiency
The advent of the era of refined marketing has put forward higher requirements for the update frequency and creative quality of advertising creativity.
However, multi-dimensional user information, growing user touchpoints, and diverse media resources make it difficult for humans to process such complex information in a short period of time. It takes a lot of time for people to ensure quality and make the right marketing decisions, and when you analyze and tune, new problems may emerge, and speed and quality seem to be irreconcilable.
Machine Xi is the best solution to this contradiction. Real-time AI model training and optimization updates are carried out through machine learning Xi, algorithm analysis is carried out after judging the behavior of users/user groups, and basic user information, behavior and other data are estimated, and then the users who are most suitable for the product are accurately found according to the data, and an effective buying strategy is generated in a very short time to achieve accurate reach to users. It not only has timeliness but also ensures accuracy, "speed + accuracy = high efficiency" is the biggest advantage of machine learning Xi.
NetMarvel keeps your data safe and secure
With the introduction of privacy protection policies, the quality of third-party data has declined significantly, and the accuracy of advertising traffic on major media platforms has decreased, and third-party data is far less effective than first-hand data.
NetMarvel uses machine learning Xi to revitalize first-hand data, and when advertisers complete their own advertising plans, they feed back their omni-channel data to the system and start machine learning Xi. The system conducts model training on this data according to the differentiation requirements, and deeply analyzes the demographics to customize the optimization strategy.
Advertisers only need to enable omni-channel data backhaul to NetMarvel, and then they can build ads on the NetMarvel self-service delivery platform, with different customer acquisition models according to different growth needs and different user stages, and realize programmatic intelligent delivery with the support of NetMarvel's intelligent algorithm.
NetMarvel strictly abides by the principle of data confidentiality, so that advertisers can see the most authentic advertising effect and fully understand the authenticity and reliability of traffic, ensuring data security and high transparency without fraud on the premise of protecting users from risks.
Take the ROSA model that advertisers focus on as an example:
1. ROSA intelligent estimation
ROAS Smart Bidding can estimate the lifetime value of users in real time, and then bid in real time according to the ROAS goal set by advertisers to obtain higher quality user delivery returns.
2. ROSA automatic screening
Algorithms are used to drive real-time automated delivery, so that there is no need to rely on manual screening and pricing of sub-channels, saving time and effort while acquiring high-quality users.
3. ROSA aims at user value
Compared with the ordinary fixed bidding model, the ROAS model can achieve global monitoring, timely dynamic bidding based on the real value of users, tap high-quality users, and use more scientific bidding strategies to tap better customer acquisition channels and better quality target users, so as to achieve efficient delivery.