Main criteria for optimization is Predictive ROI:
Predictive LTV is a model driven calculation that would be based on historical data from the existing products and unit economics’ benchmarks for a new game focusing on Daily Retention and ARPDAU; where model would track Day 1,3,7,14,28 LTVs and compare the trajectory against delta of predicted final LTV numbers.
The model will be adjusting itself by comparing predicted LTVs with the actual ones. The optimization can be based on:
CPA Optimization:
CPI Optimization:
Ideally, the campaign optimization decision should be made 24 hours after install. Purchasing traffic with broader targeting at launch: the narrow targeting data might be misleading during the scale up stage. The higher the bid is, the more inventory is available. Inventory = channels + audience. It’s not a linear function though.
In a normal UA Lifecycle UA campaigns are performing their best at the hard launch stage. It becomes challenging to scale up profitably at the maturity stage of a product lifecycle. Updates are giving the second life to a product resulting in improved ROAS.
Creative is at the top of the conversion funnel pursuing the goal to drive best possible conversion rates through high frequency of content delivery, ongoing A/B tests & iterative optimization.