App user acquisition and ad retargeting specialist Adikteev has launched a predictive analytics platform to help those app publishers without data science resources, or who do not have the necessary data, to build data models.
Adikteev offers a mobile ad platform which applies artificial intelligence to data to push tailored ads to a targeted audience. Users can also target look-alike audiences based on their best customers’ behaviour outside their apps, and create user segments based on how people interact with an app.
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The firm’s new predictive analytics suite uses machine learning models embedded in a predictive platform, to enable users to forecast user LTV (lifetime value) and optimal CPI (cost-per-install). According to the company, these features will allow publishers to focus on predicting high-value users and identify those users who are likely to churn in the future. The suite is available to all app publishers, free of charge, but to be eligible, they must track installs, app opens, in-app purchases, revenue of in-app purchasing, and ad revenue events.
CEO and co-founder Xavier Mariani comments: “Changes made to the adtech ecosystem, not the least of which being iOS 14.5, have presented a unique challenge for re-engagement partners. This SaaS-based platform is Adikteev’s latest advancement to help marketers gain more insights for their user acquisition (UA) campaigns.”
