Make confident campaign decisions by predicting campaign customer lifetime value early.
Customer acquisition costs are rising. There’s more scrutiny than ever on every marketing dollar.
Bring the greatest impact from every dollar you spend. As soon as a day after a campaign launches, predict the revenue it will generate. Act fast to allocate resources optimally.
Analyze large amounts of data and identify patterns in customer behavior. Machine learning models can predict customer lifetime value and future outcomes. Make more informed decisions about allocating marketing resources and drive higher return on ad spend (ROAS).
Assign resources to marketing campaigns and advertising campaigns optimally and adjust strategy. This approach can help you achieve and exceed your target ROAS goals more quickly and consistently.
Predictions can also be integrated into business intelligence (BI) dashboards, allowing businesses to track and analyze campaign performance easily. Track your key performance indicators (KPIs) and make data-driven decisions about marketing strategy.
Read this helpful marketing tech brief to learn:
- How predictive analytics allows you to act faster on ad campaigns and drive higher ROAS
- How predictive campaign analytics can integrate into your BI dashboards
- Seven reasons why predictive campaign ROAS is a growing analytics solution for marketing professionals
