Optimize Your Ad Spend By Predicting Lifetime Value
You've invested significant resources into acquiring customers through paid channels, but measuring the return on investment has been challenging. I will resolve this issue by developing a Lifetime Value (LTV) model that accurately predicts the 12-month revenue of your install cohorts within a week of installation. With this machine learning model, you'll be able to reliably predict the ROAS (Return on Ad Spend) for your install channels and use these insights to reallocate your ad spend to top-performing ad networks. I will ensure the model is scheduled and that predictions are easily available in a BI dashboard so you can adjust your ad spend dynamically, based on your install cohorts' predicted 12-month revenue. Ultimately, this will provide a clear view of your paid installs' revenue trajectory, allowing you to maximize the impact of your marketing efforts and achieve sustainable growth.