How Aampe’s Agents Use Causal Analysis to Measure Impact Amidst External Messaging
One of our customers asked a great question: If a user is getting messages from systems outside Aampe (this can happen for many different reasons), how can we tell which outcomes were caused by that user’s agent? Wouldn’t those other messages interfere with the agent’s learning? This question points to an important aspect of how […]