MarTech Brief:
Campaign Optimization with Predictive Events

In today’s competitive landscape, it’s not enough to have a good product or service. You also need a solid marketing strategy to help you effectively reach your targetA prediction is the ultimate goal of a predictive model. In Pecan, a prediction is often tied to a specific customer. After learning from data… More audience.

Once you’ve fine-tuned your budget with marketing mix modelingA statistical approach used to quantify the impact of various elements of a company’s marketing strategy on sales and other key performance indicators (KPIs). MMM… More and identified your best-performing campaigns with predictive lifetime value, it’s time to optimize your campaigns to focus on high-value users and max out your ROI.

Machine learning can help you optimize your user acquisitionUser acquisition (abbreviated as UA) is the process of obtaining new users for an app, software, service, or platform. User acquisition for apps and software… More campaigns and improve your return on investment. This approach involves analyzing user behavior patterns in your existing data to identify more of the kinds of users you want to target, such as high-value users or others of particular interest.

Download our MarTech Brief to learn more about:

• How machine learning can generate predictions about users’ future behavior based on early app activity 
• How you can share predictions with mobile measurement partners (MMPs) or directly with marketing channels to acquire more of the right users 
• How this strategy helps you find more of the users you want — at a lower cost