Scenario 1: I Already Bought It… Why Are You Still Sending Me Ads? 🛒
1. Imagine I own a company that sells products through Website, Mobile App, Physical Store and Social Media.
2. A customer, Rahul, checks the same product on all these platforms.
3. Rahul finally purchases the product from our physical store.
4. But our website and mobile app don't know about his physical-store purchase.
5. So, Rahul continues receiving "Buy Now!" notifications for the product he has already purchased.
6. From Rahul's perspective, this creates a bad customer experience.
7. The problem? Customer data is sitting in different systems and isn't connected.
8. Data Cloud can bring these data points together and create a more complete customer profile.
9. Now Salesforce can understand: "Rahul already purchased this product."
10. 👉 Result: Stop irrelevant promotions and deliver a smarter, personalized customer experience.
Scenario 2: Who Are My Most Valuable Customers? 💰
1. Now imagine the same company sells products through Website, Mobile App, Physical Store and Social Media.
2. I want to identify my customers based on their Total Purchase Amount.
3. For example: L1 = ₹50K+, L2 = ₹20K–₹50K, L3 = Below ₹20K.
4. But Rahul purchased ₹20K from the website and ₹35K from the physical store.
5. Another ₹10K purchase came through the mobile app.
6. Where is Rahul's complete purchase history? → Different systems! 😕
7. If I look at only the website, Rahul appears to be a ₹20K customer.
8. But his actual combined purchase is ₹65K.
9. Data Cloud can bring these purchase data points together to help create a more complete customer view.
10. 👉 Result: Rahul can be identified as an L1 Customer, enabling better segmentation, personalization and targeted engagement.
🎯 The simple idea behind both scenarios
Different Platforms → Scattered Data → Data Cloud → Unified Customer View → Better Decisions & Better Customer Experience
