Predictive Engagement: AI analyzes past behavior to anticipate when a customer is most likely to convert. Dynamic Messaging: Automated texts adjust based on responses—if a customer clicks a link but doesn’t purchase, AI follows up with a better offer. Smart Recommendations: AI suggests products based on browsing habits, similar to Amazon’s recommendation engine.
Example AI-Optimized SMS Flow: 
Customer browses a product but doesn’t buy. 
AI sends a follow-up SMS: “Still interested in [Product]? Here’s an exclusive 10% discount for today only! [Link]” 
If they don’t engage, AI offers personalized alternatives based on browsing history.
Case Study: Retail brands using AI-driven SMS automation saw engagement increase by 32% compared to traditional SMS campaigns.2. Hyper-Personalized Text Marketing
Beyond just using a customer’s name, hyper-personalization means norway phone number list tailoring every aspect of the SMS funnel.
Personalization Strategies That Drive Sales
Location-Based Offers: Send deals relevant to a customer's city or neighborhood. Behavior-Based Messaging: SMS varies depending on previous purchases or customer interests. Custom SMS Journeys: Send different sequences based on engagement levels—loyal customers get VIP treatment, while cold leads get nurturing texts. Example SMS for a Returning Customer: "Hey [Name]! 
You loved our [Previous Product], so here’s an exclusive early access deal for our new [Product]! Tap here: [link]" Case Study: Personalized SMS campaigns resulted in a 35% increase in customer retention for major brands.