AI Assist
Customers expect to be addressed as individuals, not as "a number in a queue". AI makes personalization scalable: everyone gets a relevant message, even if there are thousands of customers.
What AI personalizes on
The agent considers purchase history, previous inquiries, on-site behavior, and the funnel stage. Based on this, it picks a relevant offer and tone.
Examples of personalization
- Product recommendations by interest;
- Abandoned-cart reminders with a relevant item;
- A different tone for new and returning customers.
Why it works
A relevant message gets noticed and acted on. Personalization increases open rates, conversion, and repeat purchases because customers feel understood.
Personalization isn’t addressing someone by name — it’s relevance at the right moment.
Limits and ethics
It’s important to personalize based on permitted data and not cross the line into intrusiveness. Transparency and customer benefit are the main guideline.
