Lead scoring is a method used by sales and marketing teams to prioritize leads based on their likelihood to convert. Leads are assigned numerical values based on demographic data, behavioral interactions, and engagement levels. This system ensures that sales teams focus on the most promising prospects, improving efficiency and conversion rates. AI-driven lead scoring enhances accuracy by analyzing vast data points in real-time, allowing businesses to make data-driven decisions and allocate resources effectively.

Net Promoter Score (NPS) is a key CRM metric used to measure customer loyalty and predict business growth. By asking customers how likely they are to recommend a brand, companies can gauge satisfaction and identify areas for improvement. A high NPS indicates strong customer advocacy, while a low score signals retention risks. Businesses integrate NPS tracking into CRM systems to optimize engagement, drive referrals, and reduce churn.