To meet current customer expectations, companies should embrace real-time customer insights.
Real-time marketing allows brands to reach customers when they are most engaged. It is a way of setting up campaigns based on 'live' customer behavior, making them hyper-personalized. Switching from an outbound approach to real-time engagement is about much more than speed. It's also about relevance, efficiency, and creating meaningful interactions that drive customer loyalty.
Since Microsoft Dynamics 365 transitioned from outbound marketing to real-time marketing, businesses now have an integrated solution for real-time customer insights. This enables them to track customer behavior across multiple touchpoints, predict customer needs using live data, and send personalized messages at the right moment through the right channel.
Real-time interactions can take many forms. For example, triggering a message when a customer visits a product page, such as offering a discount or recommendation, significantly increases the chances of conversion.
The shift to real-time Customer Insights offers several benefits:
- Hyper-personalized: Thanks to dynamic segmentation, customers receive support, offers, and recommendations that are precisely tailored to their needs.
- Cross-channel: Messages (email, SMS, app push notifications) sent at the right time are more likely to be opened and followed up.
- Based on real-time behavior: Campaigns triggered directly by customer behavior and interactions (website visits, purchases, and other interactions) convert much better.
5 steps to Microsoft Dynamics 365 Customer Insights
To transition successfully to a real-time marketing strategy, follow these steps:
Step 1: Collect data in Dynamics 365 Customer Insights
Centralize customer data from multiple sources (CRM, email, social media, website interactions) into Customer Insights – Data. This gives you a unified view and lets you build personalized campaigns.Example: link your webshop to Customer Insights to see what products users viewed or purchased.
Step 2: Analyze behavior with AI
Use AI and machine learning to predict customer needs and behavior. Adjust your campaigns dynamically for maximum impact.You can track metrics like customer lifetime value or how often someone visits a product page without buying.
Step 3: Create automated journeys
Set up real-time journeys that respond to customer actions. Trigger follow-ups, personalize messages with dynamic content, or nurture leads over time. Example: if a user visits a product page but doesn’t buy, automatically send a follow-up email with related suggestions.