How to help the machine learn effectively?

How to help the machine learn effectively?

• A. Double your budget immediately
• B. After you know which app events are valuable to your business, drive and measure as many of those actions as possible to ensure your campaign can improve and optimize over time.
• C. Remove all low-value events
• D. Focus only on installs

Answer: (B)

Providing strong, relevant signals is key for the learning algorithm. Start by identifying which in-app events truly reflect value for your business—like purchases, registrations, or other meaningful engagements—and set up reliable measurement for those actions. Then drive and measure as many of those valuable actions as possible. More high-quality conversion signals give the learning system clear feedback about which user behaviors lead to value, allowing bidding, targeting, and creative to improve over time. With a richer set of conversions, the model can better distinguish meaningful patterns from noise and continuously optimize toward the actions that matter. While you don’t want to flood the system with useless data, excluding truly valuable events that the algorithm can learn from reduces signals you need to optimize. Focusing only on installs misses ongoing value after the initial install, so it won’t provide enough signals for long-term optimization.

Providing strong, relevant signals is key for the learning algorithm. Start by identifying which in-app events truly reflect value for your business—like purchases, registrations, or other meaningful engagements—and set up reliable measurement for those actions. Then drive and measure as many of those valuable actions as possible. More high-quality conversion signals give the learning system clear feedback about which user behaviors lead to value, allowing bidding, targeting, and creative to improve over time. With a richer set of conversions, the model can better distinguish meaningful patterns from noise and continuously optimize toward the actions that matter. While you don’t want to flood the system with useless data, excluding truly valuable events that the algorithm can learn from reduces signals you need to optimize. Focusing only on installs misses ongoing value after the initial install, so it won’t provide enough signals for long-term optimization.