What business metrics were used in the projects?

In projects with machine learning and AI, business metrics are directly related to the product goals and its impact on the business. The following metrics are often used:

• Conversion — how much the model helps increase sales, registrations, or other key user actions.
• Retention — whether the model affects user return rates.
• ARPU (Average Revenue Per User) — average revenue per user, if the model influences monetization.
• CTR (Click-Through Rate) — for recommendation systems and advertising.
• Response time or processing speed — important for UX and performance.
• Cost reduction — for example, automation of processes, reduction of manual labor.

For example, in a recommendation system project, the key metric was purchase conversion after viewing recommendations, as well as CTR for recommended products. In another project with a chatbot — response time and customer satisfaction level.