How Machine Learning Improves Cost-Per-Acquisition Efficiency
In today’s fast-moving digital advertising environment, marketers are under constant pressure to deliver better results without increasing budgets. Cost-per-acquisition (CPA) models have long helped advertisers track how much they spend to acquire a customer. Still, traditional approaches often rely on static assumptions, broad targeting, and manual optimisation. As competition grows and consumer behaviour evolves, these …
