Here's how to do it:
1. Pre-contact data analysis
AI can analyse large volumes of data about the customer, such as their purchase history, previous interactions, preferences and web behaviours. This information is used to create a detailed profile of the customer, allowing salespeople to tailor their pitch before the call.
Example : Before the call, AI can hungary phone number resource inform the salesperson that the customer has shown interest in a specific product and has interacted with related emails. With this information, the salesperson can start the conversation by mentioning that product and highlighting its benefits.
2. Customer segmentation
AI makes it possible to segment customers more precisely based on criteria such as purchasing behavior, content engagement, or customer lifecycle. This helps to target calls to groups of customers with similar characteristics and needs, facilitating personalization.
Example : AI can segment new customers, returning customers, and those who have stopped engaging, allowing calls to be tailored to the customer’s current state.
3. Personalized follow-up
After the call, AI can automate follow-up messages that align with the previous conversation. These follow-ups can include additional information about the products discussed, special promotions, or helpful resources.
Example : If during the call the customer showed interest in receiving more information about a product, AI can schedule a personalized email with additional details or even a WhatsApp message with a direct link to the product page.
4. Continuous learning to improve focus
AI can learn from previous interactions and adjust for future calls. It analyzes which sales tactics are most effective and adapts the approach in real time for each new customer.
